Cybernetics and systems theory Books

a huge range and FREE tracked UK delivery on ALL orders.

Read more less

Book SynopsisIn this groundbreaking book, Adrian Bejan takes the recurring patterns in nature—trees, tributaries, air passages, neural networks, and lightning bolts—and reveals how a single principle of physics, the constructal law, accounts for the evolution of these and many other designs in our world. Everything—from biological life to inanimate systems—generates shape and structure and evolves in a sequence of ever-improving designs in order to facilitate flow. River basins, cardiovascular systems, and bolts of lightning are very efficient flow systems to move a current—of water, blood, or electricity. Likewise, the more complex architecture of animals evolve to cover greater distance per unit of useful energy, or increase their flow across the land. Such designs also appear in human organizations, like the hierarchical “flowcharts” or reporting structures in corporations and political bodies. All are governed by the same p

Read more less

a huge range and FREE tracked UK delivery on ALL orders.

Read more less

Table of Contents1. Internal stabilization of the phase field system. 2. A solution to the fixed end-point linear quadratic optimal problem. 3. Pattern recognition control systems - a distinct direction in intelligent control. 4. The disturbance attenuation problem for a general class of linear stochastic systems. 5. Conceptual structural elements regarding a speed governor for hydrogenerators. 6. Towards intelligent real-time decision support systems for industrial milieu. 7. Non-analytical approaches to model-based fault detection and isolation. 8. Control of DVD players; focus and tracking control loop. 9. On the structural system analysis in distributed control. 10. On the dynamical control of hyper redundant manipulators. 11. Robots for humanitarian demining. 12. Parametrization of stabilizing controllers with applications. 13. Methodology for the design of feedback active vibration control systems. 14. Future trends in model predictive control. 15. Blocking phenomena analysis for discrete event systems with failures and/or preventive maintenance schedules. 16. Intelligent planning and control in a CIM system. 17. Petri Net Toolbox - teaching discrete event systems under Matlab. 18. Componentwise asymptotic stability - from flow-invariance to Lyapunov functions. 19. Independent component analysis with application to dams displacements monitoring. 20. Fuzzy controllers with dynamics, a systematic design approach. 21. Discrete time linear periodic Hamiltonian systems and applications. 22. Stability of neutral time delay systems: a survey of some results. 23. Slicot-based advanced automatic control computations. 24. On the connection between Riccati inequalities and equations in H8 control problems. 25. New computational approach for the design of fault detection and isolation filters. 26. Setting up the reference input in sliding motion control and its closed-loop tracking performance. 27. Flow-invariance method in control - a survey of some results. 28. ADDENDUM: Brief history of the automatic control degree course at Technical University 'Gh. Asachi' of Iasi.

Read more less

Book Synopsis1. Introduction to AIESS (Eco-systemic) Approach to Knowing and Doing for Regenerative Ecosystems.- 2.All Interacting Evolving Systems Science (AIESS): A Framework to Diagnose Degenerative Ecosystems and Synthesize Regenerative Ecosystems.- 3.Regenerative Sustainability: Homo Ecologicus and The New Enlightenment.- 4. Vedic Philosophical Basis for Regenerative Ecosystems.- 5. Building Regenerative Community Learning Networks.- 6. Applying the Integrative Justice Model as a Normative Framework for Regenerative Business Education Ecosystem.- 7. Competition, Globalization and International Co-operation Consequences for an Ecological Management.- 8. Flowering Plants Diversity in The Southern End of The Western Ghats.- 9. Reversing the Degeneration of an Ecological Hotspot Through an Ecosystemic Approach: The Case of Chilika Lak.- 10. Bottom-up Eco-systemic Approach to Regenerative Rural Ecosystems in India.- 11. Deconstructing the Understanding of Sustainability for Private-led-Mini-grid Governance A Case Study of Nigeria.- 12. Enabling Ecosystem for Institutions of Poor and Women Towards Resilience and Growth: The Case of Deendayal Antyodaya Yojna - National Rural Livelihoods Mission (DAY-NRLM).- 13. Seeking an Ecosystems Approach for Soil Regeneration: Efforts Towards Sustainable Agriculture in Tribal Hinterlands.- 14. Impact Pathway for Local Seed Systems adapting to People-Led Development' process in dryland areas of Odisha, India.- 15. WADI intervention of NABARD as a Regenerative Ecosystem A Case Study at Korba, Chattisgarh, India.- 16.Water Hyacinth and Wellbeing of Rural Women in Kerala: A Study of Gender Nature from Regenerative Ecosystem Perspective .- 17. Development of a Model Village and Making this as a Learning Centre for Other Villages: The Case of Panchayat Academy.- 18. The Contribution of Urban Environmental Organizations in Urban Governance: A Review of the Nigerian Situation.- 19. Holistic Approach in Health Care Systems Perspective in Implementation of Trauma Care at CMC, Vellore, Tamil Nadu, Indi.- 20.- Regenerative Ecosystem for Sustainable Livelihood: A Study on Tribal Women Street Vendors in Dimapur, Nagaland.- 21.Making the Case for a Regenerative Technosphere.- 22. Relationship between Flexibility of Technology, Growth Strategy and Sustainable Performance of Firms in the Indian Iron and Steel Industry.- 23. Adoption of regenerative industrial ecosystem within the ambit of environmental acts and laws in India.- 24. Synthetic Dyeing versus Natural Dyeing in India: A.- 25 Life Cycle Costing Approach to Assess Regenerativeness.

Read more less

Book SynopsisThis monograph grew out of the authors' efforts to provide a natural geometric description for the class of maps invariant under parabolic renormalization and for the Inou-Shishikura fixed point itself as well as to carry out a computer-assisted study of the parabolic renormalization operator. It introduces a renormalization-invariant class of analytic maps with a maximal domain of analyticity and rigid covering properties and presents a numerical scheme for computing parabolic renormalization of a germ, which is used to compute the Inou-Shishikura renormalization fixed point. Inside, readers will find a detailed introduction into the theory of parabolic bifurcation, Fatou coordinates, Écalle-Voronin conjugacy invariants of parabolic germs, and the definition and basic properties of parabolic renormalization. The systematic view of parabolic renormalization developed in the book and the numerical approach to its study will be interesting to both experts in the field as well as graduate students wishing to explore one of the frontiers of modern complex dynamics.Trade Review“The book under review is devoted to the study of parabolic renormalization. … The book is very well written and self-contained … and most results are stated together with their proofs.” (Jasmin Raissy, zbMATH 1342.37051, 2016)Table of Contents​1 Introduction.- 2 Local dynamics of a parabolic germ.- 3 Global theory.- 4 Numerical results.- 5 For dessert: several amusing examples.- Index.

Read more less

Book Synopsis This monograph presents a variety of techniques that can be used for designing robust fault diagnosis schemes for non-linear systems. The introductory part of the book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. Subsequently, advanced robust observer structures are presented. Parameter estimation based techniques are discussed as well. A particular attention is drawn to experimental design for fault diagnosis. The book also presents a number of robust soft computing approaches utilizing evolutionary algorithms and neural networks. All approaches described in this book are illustrated by practical applications.Trade ReviewFrom the reviews: "The book treats a class of nonlinear discrete-time models for dynamical systems and presents further developments of the author’s research on nonlinear system identification and fault detection … . It is intended for researchers, engineers and advanced postgraduate students in control, computer science and related engineering fields." (Alexander V. Nazin, Mathematical Reviews, Issue 2008 d)Table of ContentsI. Principles of Fault Diagnosis.- Analytical Techniques-Based FDI.- Soft Computing-Based FDI.- II. State and Parameter Estimation Strategies.- State Estimation Techniques for FDI.- Parameter Estimation-Based FDI.- III. Soft Computing Strategies.- Evolutionary Algorithms.- Neural Networks.- Conclusions and Future Research Directions.

Read more less

Book SynopsisThis introductory course on quantum mechanics is the basic lecture that precedes and completes the author's second book Advanced Quantum Mechanics. This new edition is up-to-date and has been revised. Coverage meets the needs of students by giving all mathematical steps and worked examples with applications throughout the text as well as many problems at the end of each chapter. It contains nonrelativistic quantum mechanics and a short treatment of the quantization of the radiation field. Besides the essentials, the book also discusses topics such as the theory of measurement, the Bell inequality, and supersymmetric quantum mechanics.Trade ReviewFrom the reviews: "Any student wishing to develop mathematical skills and deepen their understanding of the technical side of quantum theory will find Schwabl's Quantum Mechanics very helpful". Contemporary Physics From the reviews of the fourth edition: "Quantum Mechanics … presents a nice balance between theory and practical applications in this work that is intended for introductory coursework. It is designed to complement the author’s Advanced Quantum Mechanics (2005). Schwabl (Technische Universität München) succinctly covers a wide range of topics in 20 chapters … . The book also includes worked examples and applications. Summing Up: Recommended. Upper-division undergraduates through researchers and faculty." (D. B. Moss, CHOICE, Vol. 45 (10), June, 2008) "It is an excellent introduction for students of physics or mathematics into the fundamentals of quantum mechanics covering the methods used in applications. … The main point is that the fundamentals and methods of quantum mechanics are mediated very well and guide the reader to apply them successfully. This book can be best recommended to students and lecturers." (K.-E. Hellwig, Zentralblatt MATH, Vol. 1166, 2009)Table of ContentsHistorical and Experimental Foundations.- The Wave Function and the Schrödinger Equation.- One-Dimensional Problems.- The Uncertainty Relation.- Angular Momentum.- The Central Potential I.- Motion in an Electromagnetic Field.- Operators, Matrices, State Vectors.- Spin.- Addition of Angular Momenta.- Approximation Methods for Stationary States.- Relativistic Corrections.- Several-Electron Atoms.- The Zeeman Effect and the Stark Effect.- Molecules.- Time Dependent Phenomena.- The Central Potential II.- Scattering Theory.- Supersymmetric Quantum Theory.- State and Measurement in Quantum Mechanics.

Read more less

Book SynopsisThe study of dynamical systems is a well established field. This book provides a panorama of several aspects of interest to mathematicians and physicists. It collects the material of several courses at the graduate level given by the authors, avoiding detailed proofs in exchange for numerous illustrations and examples. Apart from common subjects in this field, a lot of attention is given to questions of physical measurement and stochastic properties of chaotic dynamical systems.Trade ReviewFrom the reviews: "The book is a good introduction to the field of dynamical systems with a particular emphasis on statistical properties and applications. In particular, the relations both with real experiments with numerical simulations are discussed. … The book contains many figures that really help the understanding of the text. The book can be used as a text for an introductory course in dynamical systems (at the master’s or Ph.D. level). It is particularly suited for students with interests in applications (either physics, economy or biology)." (Carlangelo Liverani, Mathematical Reviews, Issue 2007 m) "Two thoughts crossed my mind when I picked up this book. The first was: ‘what a physically attractive book.’ The second was: ‘what a short book to have on such a wide ranging topic.’ … It is a perfect size to carry in a knapsack, the print is clear and the layout of text, equations, and figures is marvelously done. … images are multi-colored stereo images, and allow the reader to ‘see’ a three dimensional effect that helps illustrate the phenomena." (David S. Mazel, MathDL, December, 2007)Table of ContentsA Basic Problem.- Dynamical Systems.- Topological Properties.- Hyperbolicity.- Invariant Measures.- Entropy.- Statistics and Statistical Mechanics.- Other Probabilistic Results.- Experimental Aspects.

Read more less

Table of ContentsLattice gauge theories.- Continuum gauge quantum field theories.

Read more less

Book Synopsis

Read more less

Book SynopsisSimulation Systems expolres a wide spectrum of topics including simulation software, logic simulation, query-driven simulation, multi-computer simulation and manufacturing simulation. Although such papers are presented in Journals and conference proceedings it is difficult to find a single source where the foremost papers are presented. Contributions in Simulation Systms are freom leading researchers and practioners which explore a wide spectrum of topics. The chapters include topics such as presentation of SIMULA/OBJECTR, which is a query driven simulation support environment and a method of translating automatically digital logic equations so that they may be simulated using VHDL. This is followed by simulation techniques for deterministic and statistical circuit design optimization. A mathematical model of a magnetic resonance imaging system is simulated so that one can better understand the imaging system.Table of Contents1. The SIMODULA/OBJECTOR Query Driven Simulation Support Environment 2. Automated Translation and Simulation of Digital Logic Equations via VHDL 3. Simulation Base Deterministic and Statistical Circuit Design Optimization 4. A Mathematical Model of Magnetic Resonance Imaging System and Simulation 5. Simulation of Multicomputer Networks 6. Simulation of Discrete Conveyor Systems 7. The Use of Simulation in Management Decision Making: The Case of Poultry and Aquaculture Production 8. Workstations for the Integrated Design and Simulation of Flight Control Systems

Read more less

Book SynopsisChaos theory has captured scientific and popular attention. What began as the discovery of randomness in simple physical systems has become a widespread fascination with chaotic models of everything from business cycles to brainwaves to heart attacks. But what exactly does this explosion of new research into chaotic phenomena mean for our understanding of the world? In this timely book, Stephen Kellert takes the first sustained look at the broad intellectual and philosophical questions raised by recent advances in chaos theory--its implications for science as a source of knowledge and for the very meaning of that knowledge itself.Table of ContentsAcknowledgments Prologue 1: What Is Chaos Theory? 2: Varieties of the Impossible 3: Unpeeling the Layers of Determinism 4: On the Way to Dynamic Understanding 5: Beyond the Clockwork Hegemony References Index

Read more less

Book SynopsisChaos theory has captured scientific and popular attention. What began as the discovery of randomness in simple physical systems has become a widespread fascination with chaotic models of everything from business cycles to brainwaves to heart attacks. But what exactly does this explosion of new research into chaotic phenomena mean for our understanding of the world? In this timely book, Stephen Kellert takes the first sustained look at the broad intellectual and philosophical questions raised by recent advances in chaos theoryits implications for science as a source of knowledge and for the very meaning of that knowledge itself.

Read more less

Book SynopsisThis is the first volume of a three-volume introduction to modern geometry which emphasizes applications to other areas of mathematics and theoretical physics. Topics covered include tensors and their differential calculus, the calculus of variations in one and several dimensions, and geometric field theory.Table of Contents1 Geometry in Regions of a Space. Basic Concepts.- §1. Co-ordinate systems.- 1.1. Cartesian co-ordinates in a space.- 1.2. Co-ordinate changes.- §2. Euclidean space.- 2.1. Curves in Euclidean space.- 2.2. Quadratic forms and vectors.- §3. Riemannian and pseudo-Riemannian spaces.- 3.1. Riemannian metrics.- 3.2. The Minkowski metric.- §4. The simplest groups of transformations of Euclidean space.- 4.1. Groups of transformations of a region.- 4.2. Transformations of the plane.- 4.3. The isometries of 3-dimensional Euclidean space.- 4.4. Further examples of transformation groups.- 4.5. Exercises.- §5. The Serret—Frenet formulae.- 5.1. Curvature of curves in the Euclidean plane.- 5.2. Curves in Euclidean 3-space. Curvature and torsion.- 5.3. Orthogonal transformations depending on a parameter.- 5.4. Exercises.- §6. Pseudo-Euclidean spaces.- 6.1. The simplest concepts of the special theory of relativity.- 6.2. Lorentz transformations.- 6.3. Exercises.- 2 The Theory of Surfaces.- §7. Geometry on a surface in space.- 7.1. Co-ordinates on a surface.- 7.2. Tangent planes.- 7.3. The metric on a surface in Euclidean space.- 7.4. Surface area.- 7.5. Exercises.- §8. The second fundamental form.- 8.1. Curvature of curves on a surface in Euclidean space.- 8.2. Invariants of a pair of quadratic forms.- 8.3. Properties of the second fundamental form.- 8.4. Exercises.- §9. The metric on the sphere.- §10. Space-like surfaces in pseudo-Euclidean space.- 10.1. The pseudo-sphere.- 10.2. Curvature of space-like curves in $$ \mathbb{R}_1^3 $$.- §11. The language of complex numbers in geometry.- 11.1. Complex and real co-ordinates.- 11.2. The Hermitian scalar product.- 11.3. Examples of complex transformation groups.- §12. Analytic functions.- 12.1. Complex notation for the element of length, and for the differential of a function.- 12.2. Complex co-ordinate changes.- 12.3. Surfaces in complex space.- §13. The conformal form of the metric on a surface.- 13.1. Isothermal co-ordinates. Gaussian curvature in terms of conformal co-ordinates.- 13.2. Conformal form of the metrics on the sphere and the Lobachevskian plane.- 13.3. Surfaces of constant curvature.- 13.4. Exercises.- §14. Transformation groups as surfaces in N-dimensional space.- 14.1. Co-ordinates in a neighbourhood of the identity.- 14.2. The exponential function with matrix argument.- 14.3. The quaternions.- 14.4. Exercises.- §15. Conformal transformations of Euclidean and pseudo-Euclidean spaces of several dimensions.- 3 Tensors: The Algebraic Theory.- §16. Examples of tensors.- §17. The general definition of a tensor.- 17.1. The transformation rule for the components of a tensor of arbitrary rank.- 17.2. Algebraic operations on tensors.- 17.3. Exercises.- §18. Tensors of type (0, k).- 18.1. Differential notation for tensors with lower indices only.- 18.2. Skew-symmetric tensors of type (0, k).- 18.3. The exterior product of differential forms. The exterior algebra.- 18.4. Skew-symmetric tensors of type (k, 0) (polyvectors). Integrals with respect to anti-commuting variables.- 18.5. Exercises.- §19. Tensors in Riemannian and pseudo-Riemannian spaces.- 19.1. Raising and lowering indices.- 19.2. The eigenvalues of a quadratic form.- 19.3. The operator ?.- 19.4. Tensors in Euclidean space.- 19.5. Exercises.- §20. The crystallographic groups and the finite subgroups of the rotation group of Euclidean 3-space. Examples of invariant tensors.- §21. Rank 2 tensors in pseudo-Euclidean space, and their eigenvalues.- 21.1. Skew-symmetric tensors. The invariants of an electromagnetic field.- 21.2. Symmetric tensors and their eigenvalues. The energy-momentum tensor of an electromagnetic field.- §22. The behaviour of tensors under mappings.- 22.1. The general operation of restriction of tensors with lower indices.- 22.2. Mappings of tangent spaces.- §23. Vector fields.- 23.1. One-parameter groups of diffeomorphisms.- 23.2. The exponential function of a vector field.- 23.3. The Lie derivative.- 23.4. Exercises.- §24. Lie algebras.- 24.1. Lie algebras and vector fields.- 24.2. The fundamental matrix Lie algebras.- 24.3. Linear vector fields.- 24.4. Left-invariant fields defined on transformation groups.- 24.5. Invariant metrics on a transformation group.- 24.6. The classification of the 3-dimensional Lie algebras.- 24.7. The Lie algebras of the conformal groups.- 24.8. Exercises.- 4 The Differential Calculus of Tensors.- §25. The differential calculus of skew-symmetric tensors.- 25.1. The gradient of a skew-symmetric tensor.- 25.2. The exterior derivative of a form.- 25.3. Exercises.- §26. Skew-symmetric tensors and the theory of integration.- 26.1. Integration of differential forms.- 26.2. Examples of integrals of differential forms.- 26.3. The general Stokes formula. Examples.- 26.4. Proof of the general Stokes formula for the cube.- 26.5. Exercises.- §27. Differential forms on complex spaces.- 27.1. The operators d? and d?.- 27.2. Kählerian metrics. The curvature form.- §28. Covariant differentiation.- 28.1. Euclidean connexions.- 28.2. Covariant differentiation of tensors of arbitrary rank.- §29. Covariant differentiation and the metric.- 29.1. Parallel transport of vector fields.- 29.2. Geodesics.- 29.3. Connexions compatible with the metric.- 29.4. Connexions compatible with a complex structure (Hermitian metric).- 29.5. Exercises.- §30. The curvature tensor.- 30.1. The general curvature tensor.- 30.2. The symmetries of the curvature tensor. The curvature tensor defined by the metric.- 30.3. Examples: The curvature tensor in spaces of dimensions 2 and 3; the curvature tensor of transformation groups.- 30.4. The Peterson—Codazzi equations. Surfaces of constant negative curvature, and the “sine—Gordon” equation.- 30.5. Exercises.- 5 The Elements of the Calculus of Variations.- §31. One-dimensional variational problems.- 31.1. The Euler—Lagrange equations.- 31.2. Basic examples of functional.- §32. Conservation laws.- 32.1. Groups of transformations preserving a given variational problem.- 32.2. Examples. Applications of the conservation laws.- §33. Hamiltonian formalism.- 33.1. Legendre’s transformation.- 33.2. Moving co-ordinate frames.- 33.3. The principles of Maupertuis and Fermat.- 33.4. Exercises.- §34. The geometrical theory of phase space.- 34.1. Gradient systems.- 34.2. The Poisson bracket.- 34.3. Canonical transformations.- 34.4. Exercises.- §35. Lagrange surfaces.- 35.1. Bundles of trajectories and the Hamilton—Jacobi equation.- 35.2. Hamiltonians which are first-order homogeneous with respect to the momentum.- §36. The second variation for the equation of the geodesics.- 36.1. The formula for the second variation.- 36.2. Conjugate points and the minimality condition.- 6 The Calculus of Variations in Several Dimensions. Fields and Their Geometric Invariants.- §37. The simplest higher-dimensional variational problems.- 37.1. The Euler—Lagrange equations.- 37.2. The energy-momentum tensor.- 37.3. The equations of an electromagnetic field.- 37.4. The equations of a gravitational field.- 37.5. Soap films.- 37.6. Equilibrium equation for a thin plate.- 37.7. Exercises.- §38. Examples of Lagrangians.- §39. The simplest concepts of the general theory of relativity.- §40. The spinor representations of the groups SO(3) and O(3, 1). Dirac’s equation and its properties.- 40.1. Automorphisms of matrix algebras.- 40.2. The spinor representation of the group SO(3).- 40.3. The spinor representation of the Lorentz group.- 40.4. Dirac’s equation.- 40.5. Dirac’s equation in an electromagnetic field. The operation of charge conjugation.- §41. Covariant differentiation of fields with arbitrary symmetry.- 41.1. Gauge transformations. Gauge-invariant Lagrangians.- 41.2. The curvature form.- 41.3. Basic examples.- §42. Examples of gauge-invariant functionals. Maxwell’s equations and the Yang—Mills equation. Functionals with identically zero variational derivative (characteristic classes).

Read more less

Book SynopsisSimulation modeling is one of the most powerful techniques available for studying large and complex systems. This book brings together the top 30 international experts on simulation from both industry and academia. All aspects of simulation are covered, as well as the latest simulation techniques.Table of ContentsPreface ix Contributors xi Part I Principles 1. Principles of Simulation 3by Jerry Banks 2. Principles of Simulation Modeling 31by A Alan B. Pritsker Part II Methodology 3. Input Data Analysis 55by Stephen Vincent 4. Random Number Generation 93by Pierre L'Ecuyer 5. Random Variate Generation 139by Russell C. H. Cheng 6. Experimental Design for Sensitivity Analysis, Optimization, and Validation of Simulation Models 173by Jack P. C. Kleijnen 7. Output Data Analysis 225by Christos Alexopoulos and Andrew F. Seila 8. Comparing Systems via Simulation 273by David Goldsman and Barry L. Nelson 9. Simulation Optimization 307by Sigrún Andradóuir 10. Verification, Validation, and Testing 335by Osman Balci Part III Recent Advances 11.Object-Oriented Simulation 397by Jeffrey A. Joines and Stephen D. Roberts 12.Parallel and Distributed Simulation 429by Richard M. Fujimoto 13.On-Line Simulation: Need and Evolving Research Requirements 465by Wayne J. Davis Part IV Application Areas 14.Simulation of Manufacturing and Material Handling Systems 519by Matthew W. Rohrer 15.Simulation in the Automobile lndustry 547by Onur Ulgen and Ali Gunal 16.Simulation of Logistics and Transportation Systems 571by Mani S. Manivannan 17.Simulation of Healthcare 605by Frank McGuire 18.Simulation of Service Systems 629by Ron Laughery, Beth Plott, and Shelly Scott-Nash 19.Military Simulation 645by Keebom Kang and Ronald J. Roland 20.Discrete-Event Simulation of Computer and CommunicationSystems 659by Alfred Hartmann and Herb Schwetman 21.Simulation and Scheduling 677by Ali S. Kiran Part V Practice Of Simulation 22.Guidelines for Success 721by Kenneth J. Musselman 23.Managing the Simulation Project 745by Van Norman and Jerry Banks 24.How Discrete-Event Simulation Software Works 765by Thomas J. Schriber and Daniel T Brunner 25.Software for Simulation 813by Jerry Banks Index 837

Read more less

Book SynopsisNew practical techniques for nonlinear system research and evaluation Nonlinear Systems Techniques and Applications provides the most practical techniques currently available for analyzing and identifying nonlinear systems from random data measured at the input and output points of the nonlinear systems.Trade Review"...of extreme value to scientists and engineers engaged in nonlinear system identification...a valuable contribution to the emerging field of nonlinear system identification due to its clear treatment of mathematical theory and engineering applications." (International Journal of Robust and Nonlinear Control, Vol. 11, July 2001)Table of ContentsLinear Systems, Random Data. Zero-Memory Nonlinear Systems. Direct and Reverse MI/SO Techniques for Analysis and Identificationof Nonlinear Systems. Parallel Linear and Nonlinear Systems. Determination of Physical Parameters with Memory in NonlinearSystems. Nonlinear System Response Properties of a Naval Frigate fromMeasured Ocean Engineering Data. Nonlinear System Response Properties of a Naval Barge from MeasuredOcean Engineering Data. Bilinear and Trilinear Systems. Input/Output Relations for Bilinear and Trilinear Systems. References. Index. Glossary of Symbols.

Read more less

Book SynopsisMany medical applications could benefit from system theory, if only instrumentation designers understood systems theory and signal processing academics had a better understanding of practical medical applications. This book bridges those gaps in a practical manner, with suggestions for coursework included.Trade Review"…this is a useful addition to the library of those who are involved in product development of technologies using complex signal processing." (Biomedical Instrumentation & Technology, May/June 2004) "...an excellent contribution to the current literature...well written..." (IEEE Engineering in Medicine and Biology, July/August 2002) "The approach chosen by Dr. Baura is original and is to be congratulated for its ambitiousness. I would recommend the book to existing biomedical engineering experts working in environment where solving practical problems is the issue...in addition it could be very useful as a class text..." (IFMBE News, No. 61, July 2003)Table of ContentsPreface. Nomenclature. I FILTERS. 1 System Theory and Frequency-Selective Filters. 2 Low Flow Rate Occlusion Detection Using Resistance Monitoring. 3 Adaptive Filters. 4 Improved Pulse Oximetry. 5 Time-Frequency and Time-Scale Analysis. 6 Improved Impedance Cardiography. II MODELS FOR REAL TIME PROCESSING. 7 Linear System Identification. 8 External Defibrillation Waveform Optimization. 9 Nonlinear System Identification. 10 Improved Screening for Cervical Cancer. 11 Fuzzy Models. 12 Continuous Noninvasive Blood Pressure Monitoring: Proof of Concept. III COMPARTMENTAL MODELS. 13 The Linear Compartmental Model. 14 Pharmacologic Stress Testing Using Closed-Loop Drug Delivery. 15 The Nonlinear Compartmental Model. 16 The Role of Nonlinear Compartmental Models in Development of Antiobesity Drugs. IV SYSTEM THEORY IMPLEMENTATION. 17 Algorithm Implementation. 18 The Need for More System Theory in Low-Cost Medical Applications. Glossary. Index.

Read more less

Book SynopsisA unique, integrated treatment of computer modeling and simulation The future of science belongs to those willing to make the shift to simulation-based modeling, predicts Rice Professor James Thompson, a leading modeler and computational statistician widely known for his original ideas and engaging style. He discusses methods, available to anyone with a fast desktop computer, for integrating simulation into the modeling process in order to create meaningful models of real phenomena. Drawing from a wealth of experience, he gives examples from trading markets, oncology, epidemiology, statistical process control, physics, public policy, combat, real-world optimization, Bayesian analyses, and population dynamics. Dr. Thompson believes that, so far from liberating us from the necessity of modeling, the fast computer enables us to engage in realistic models of processes in , for example, economics, which have not been possible earlier because simple stochastic models in the forward temporal Trade ReviewWith the advent of faster computers with comparatively large storage facilities, simulation-based modeling is rapidly being adopted as an alternative approach to conventional top-down, assumptions-based, continuous, stochastic and discrete differential equation modeling. Thompson offers an interesting exposition to the art of simulation, and views "simulation approach" to modeling as a paradigm for realistic evolutionary modeling. The book is written in a very casual style, and background knowledge in statistics is all that is required to grasp the material contained therein. Thompson begins with an exposition of the generation of randomnumbers and then delves into a variety of special topics, including models for stocks and derivatives, optimization and estimation in a noisy world, Monte-Carlo solutions to differential equations, simulation assessment of multivariate and robust procedures in statistical process control, resampling-based tests, and some exposition to modeling the AIDS epidemic. Several useful algorithms, problem sets, and references to standard simulation packages are provided. Short chapter bibliographies; wide range of examples. The book could be used as a resource for beginning graduate students and professionals in applied statistics, computer science, economics and finance, engineering, and the natural sciences. Highly recommended. Graduate students; faculty; professionals. (CHOICE, April 2001, Vol. 38, No. 8) "...an eclectic survey of computing methods...lively and interesting...the wide variety of example certainly helps bring the material to life." (Journal of the American Statistical Association, Vol. 97, No. 457, March 2002) "...a very useful and entertaining book...a great reference book...contains some valuable material and philosophy that is unavailable anywhere else." (IIE Transactions) "...often entertaining...the level of detain and relevance is appropriate...a worthwhile read for model builders comfortable with both mathematics and simulation." (Complexity, Vol. 7, No. 2, 2002)Table of ContentsThe Generation of "Random" Numbers. Random Quadrature. Monte Carlo Solutions of Differential Equations. Markov Chains, Poisson Processes and Linear Equations. SIMEST, SIMDAT, and Pseudoreality. Models for Stocks and Derivatives. Simulation Assessment of Multivariate and Robust Procedures in Statistical Process Control. Noise and Chaos. Bayesian Approaches. Resampling Based Tests. Optimization and Estimation in a Noisy World. Modeling the USA AIDS Epidemic: Exploration, Simulation and Conjecture. Appendices. Index.

Read more less

Book SynopsisAn excellent introduction to SIMAN V, a leading-edge simulation language. Designed for the person who wants to begin simulating with SIMAN as quickly as possible, it emphasizes the language basics to provide quick instruction. Cinema is described within ARENA, a graphical environment that uses CAD-like drawing features.Table of ContentsThe Simulation Process. Introduction and Overview. Basic Blocks and Elements. Intermediate Concepts. Using the Interactive Run Controller. Output Analysis. More Intermediate Resource Concepts. Station Submodels. Transporters. Conveyors. Guided Transporters. Advanced Concepts. Additional Concepts. Animation Using Cinema in the ARENA Environment. Appendices. Index.

Read more less

Book SynopsisThe book presents the methodology applicable to the modeling and analysis of a variety of dynamic systems, regardless of their physical origin. It includes detailed modeling of mechanical, electrical, electro-mechanical, thermal, and fluid systems.Table of ContentsIntroduction. Translational Mechanical Systems. Standard Forms for System Models. Block Diagrams and Computer Simulation. Rotational Mechanical Systems. Electrical Systems. Transform Solutions of Linear Models. Transform Function Analysis. Developing a Linear Model. Electromechanical Systems. Thermal Systems. Fluid Systems. Block Diagrams for Dynamic Systems. Modeling, Analysis, and Design Tools. Feedback Design with MATLAB. Appendix A: Units. Appendix B: Matrices. Appendix C: Complex Algebra. Appendix D: Classical Solution of Differential Equations. Appendix E: Laplace Transforms. Appendix F: Selected Reading. Appendix G: Answers to Selected Problems. Index.

Read more less

Book SynopsisConceptual model building is accepted as a key phase in Soft Systems Methodology. Despite the recognition of the importance of the SSM, students are still experiencing difficulty with the basic process of conceptual model building. This book addresses that issue.Table of ContentsForeword by Mike Duffy. Preface. Preamble. Models and Methodology. Basic Principles of HAS Modelling. Selection of Relevant Systems. Business Process Re-engineering. The Consensus Primary Task Model. CPTMFormulation Using Wider-system Extraction. CPTMAssembly Using the Enterprise Model. Application to Training Strategy and HR. Generic Model Building. Conclusions. Appendix 1: The Albion Case. Appendix 2: Exercises. Appendix 3: The Development of the United Kingdom's Single Army Activity Model and Associated Information Needs and its Relationship to Command and Control. Appendix 4: An Overview of Soft Systems Methodology. Appendix 5: Example of Applying Information Analysis Method to Airspace Control Function. Appendix 6: Examples of Product to Information Category Mapping. References. Index.

Read more less

Book SynopsisCovering deterministic scheduling, stochastic scheduling, and the probabilistic analysis of algorithms, this unusually broad view of the subject brings together tutorials, surveys and articles with original results from foremost international experts. The contributions reflect the great diversity in scheduling theory in terms of academic disciplines, applications areas, fundamental approaches and mathematical skills. This book will help researchers to be aware of the progress in the various areas of specialization and the possible influences that this progress may have on their own specialities. Few disciplines are driven so much by continually changing and expanding technology, a fact that gives scheduling a permanence while adding to the excitement of designing and analyzing new systems. The book will be a vital resource for researchers and graduate students of computer science, applied mathematics and operational research who wish to remain up-to-date on the scheduling models and prTable of ContentsPartial table of contents: Computing Near-Optimal Schedules (J. Lenstra & D.Shmoys). A Tutorial in Stochastic Scheduling (G. Weiss). Scheduling with Communication Delays: A Survey (P. Chretienne &C. Picouleau). Profile Scheduling by List Algorithms (Z. Liu & E.Sanlaville). Real-Time Scheduling of Periodic Tasks (C. Chaouiya, et al.). Some Graph Coloring Models for Cyclic Scheduling (D. de Werra &P. Solot). Transforming Cyclic Scheduling Problems into Acyclic Ones (F.Gasperoni & U. Schwiegelshohn). Application of Majorization to Control Problems in Queueing Systems(D. Towsley). Dynamic Routing and Sequencing in Open Queueing Networks (C.Laws). Indexes.

Read more less

Book Synopsis"Stafford Beer is undoubtedly among the worlda s most provocative, creative, and profound thinkers on the subject of management, and he records his thinking with a flair that is unmatched. His writing is as much art as it is science. He is the most viable system I know.Table of ContentsNot Obtainable.

Read more less

Book Synopsis

Read more less

Book SynopsisAs a new way to conceptualize the history of computing, this book will be of great interest to historians of science, technology, and culture, as well as computer scientists and theorists. Between Human and Machine: Feedback, Control, and Computing before CyberneticsTrade Review[Mindell's] account of this complex story of engineering, people, and organizations-academic, industrial and govenment-is well researched and well told. -- Stuart Bennett International Journal of Adaptive Control and Signal Processing 2004 While one might think a history of servomechanisms, feedback loops, and fire control systems would be of interest only to a narrow audience, one of David A. Mindell's great achievements in this rich and multilayered book is to show the centrality of control systems-the machines (and humans) that control machines-to the history of computing, the history of technology, and indeed to American history in the twentieth century. -- Ross Bassett American Historical Review In contextualizing the theory of cybernetics, Mindell gives engineering back forgotten parts of its history, and shows how important historical circumstances are to technological change... Mindell is scrupulous about providing this historical context; providing biographical insight into the major players in the history; and giving the reader a good sense of what it was like to be a Bell Labs scientist, or an engineer for Sperry. -- Michele Tepper Networker The book is an eye-opener in understanding who our engineering ancestors were and what they did. -- David L. Elliott IEEE Control Systems Magazine 2003 In an exceptionally insightful and lucid account, Mindell shows how engineering cultures emerging in specific institutional contexts profoundly shaped the design of human-machine systems and defined the human operator as part of a larger technological system. -- Slava Gerovitch IEEE Annals of the History of Computing 2004 This is a good and surprising book. It is good in its articulate survey of dynamic man-machine systems in the period from 1916 to 1948; it is surprising in its convincing revision of our picture of the origins of the computer and cybernetics. -- Larry Owens Technology and Culture 2003 The reader who makes the effort to follow Mindell's argument will be rewarded with a fresh insight into the emergence of the digital computer and all that its invention implies. -- Paul E. Ceruzzi Journal of American History 2004 This book is the first major study by a professional historian and as such should help to draw the attention of historians to the embeddedness of feedback control in 20th century technological systems. -- Stuart Bennett International Journal of Adaptive Control and Signal Processing 2004 A joy for both engineers and historians... Mindell's major contribution is to explore in abundant and fascinating detail the intellectual and physical roots of cybernetics in fields as distinct as communications engineering, military fire control, and analog computing. -- Karl D. Stephan IEEE Technology and Society Magazine 2004Table of ContentsPreface and Acknowledgments1. Introduction: A History of Control Systems2. Naval Control Systems: The Bureau of Ordnance and the Ford Instrument Company3. Taming the Beasts of the Machine Age: The Sperry Company4. Opening Black's Box: Bell Labs and the Transmission of Signals5. Artificial Representation of Power Systems: Analog Computing at MIT6. Dress Rehearsal for War: The Four Horsemen and Palomar7. Organizing for War: The Fire Control Divisions of the NDRC8. The Servomechanisms Laboratory and Fire Control for the Masses9. Analog's Finest Hour10. Radar and System Integration at the Radiation Laboratory11. Cybernetics and Ideas of the Digital12. Conclusion: Feedback and Information in 1945Appendix A: Algorithm of the Ford Rangekeeper Mark 1Appendix B: NDRC Section D-2 and Division 7 Contracts for Fire ControlAppendix C: Algorithm of Bell Labs' T-10 DirectorNotesBibliographyIndex

Read more less

Book Synopsis

Read more less

Book SynopsisA coherent and practical philosophy of interdependence, drawing on vivid examples from the biological sciences.Trade Review"Kriti Sharma has written a remarkable book that moves seamlessly from the empirical world of biology-indeed, the microscales of test tubes and cells and molecules-to the consideration of the broadest philosophical concepts that define how we comprehend existence itself. The writing is lively and the illustrations are drawn from a wide and interdisciplinary range of sources and experiences, yet the development of the ideas is scholarly, careful, and well documented. Interdependence: Biology and Beyond will elevate and churn your thinking. It is Sharma's first book and the reader feels privileged to be present at the start of an exciting intellectual journey." -- -Peter White University of North Carolina at Chapel Hill "In setting forth her vision of contingentism-that objects are really webs of processes contingent on multiple interacting conditions-Sharma moves eloquently back and forth between biology and philosophy. The book is a model of accessible but serious and elegant science writing." -- -Evan Thompson University of British Columbia "It is a rare treat to indulge in reading a work that switches between philosophical reasoning and empirical biology. This is just what Sharma does, illuminating the concept of interdependence from its everyday usage to focus in on the micro-scale network of processes that are contingent on interactions of organisms with one another and their environments." -The Biologist "Interdependence is an exceptionally original work of comprehensive theorizing. Conceptually subtle, empirically rigorous, and compellingly argued, it addresses some of the most fundamental questions in theoretical biology and demonstrates their close relation to central problems in our ideas of knowledge, existence, and reality." -- -Barbara Herrnstein Smith author, Scandalous Knowledge: Science, Truth and the HumanTable of ContentsTable of Contents Introduction - Taking Interdependence Seriously A brief sketch of what's to come Chapter 1 - It Depends: Existence as Contingent Small worlds Introducing key concepts: reality, existence, and contingency Features of contingentism What contingentism is not Signal transduction and the book's organization Encouragement to stick with a challenging topic Chapter 2 - What Do Objects Depend On?: Physical Substance, Matter, and the External World Assumption of the intrinsic boundedness and continuity of objects Assumption of the intrinsic boundedness and continuity of particles Assumption of the intrinsic existence of (emergent) properties Assumption of the intrinsic existence of causal powers Assumption of the unified object of sense perceptions (both within and between observers) Assumption of non-impingement: "Whatever it is, it sure doesn't depend on us" Chapter summary Chapter 3 - What Does Sensing Depend On?: Transduction, Energy, and the Meeting of Worlds An overview of signal transduction Signal transduction and cell sensing Assumption of sameness and difference Assumption of energy as a kind of substance Relating physical and psychological phenomena Re-viewing sensing: new views of transformation and change Chapter summary Chapter 4 - What Do Organisms Depend On?: Bodies, Lives, Selves, and Internal Worlds Assumption of the boundedness and continuity of organisms Assumption of the coordinator and the experiencer Assumption of intrinsically existent "other minds": why do we take one another seriously as subjects? Assumption of a ground: physicalism, idealism, dualism, and contingentism What does your life depend on? Chapter summary Chapter 5 - What Does Order Depend On?: Patterns, Gaps, and the Known World On cognitive patterns and cognitive dissonance: what does order depend on? Assumption of the intrinsic existence of contradictions: what does surprise depend on? Assumption of intrinsic hierarchies of order: what makes a good theory? Assumption of a single origin and a linear history Assumption of knowledge as limited: exactly where are the gaps between organismal experience and reality? Chapter summary Conclusion - Life As We Know It "Nothing but net": thoroughgoing contingency and the absence of inherent existence Why "contingentism"?: genealogies, relations, and intellectual kindred The many forms that wonder takes Coda: Small, vast worlds Acknowledgments: What Does This Book Depend On? References

Read more less

Book SynopsisIn this Concise Introduction, Kristof Van Assche, Gert Verschraegen and Monica Gruezmacher provide an accessible explanation of the complex genealogy of systems thinking. Covering both social and natural sciences, the authors present the key implications of this perspective for the understanding and transformation of systems and their context.

Read more less

Book SynopsisThis volume in the Encyclopedia of Complexity and Systems Science, Second Edition, covers recent developments in classical areas of ergodic theory, including the asymptotic properties of measurable dynamical systems, spectral theory, entropy, ergodic theorems, joinings, isomorphism theory, recurrence, nonsingular systems.Table of ContentsIntroduction to Ergodic Theory Ergodic Theory: Basic Examples and Constructions Ergodicity and Mixing Properties Ergodic Theory: Recurrence Ergodic Theorems Spectral Theory of Dynamical Systems Joinings in Ergodic Theory Entropy in Ergodic Theory Isomorphism Theory in Ergodic Theory Dynamical Systems of Probabilistic Origin: Gaussian and Poisson Systems Ergodic Theory: Non-singular Transformations Sarnak’s Conjecture from the Ergodic Theory Point of View Smooth Ergodic Theory Ergodic and spectral theory of area-preserving flows on surfaces Pressure and Equilibrium States in Ergodic Theory Parallels Between Topological Dynamics and Ergodic Theory Symbolic Dynamics Operator ergodic theory Dynamical Systems and C-algebras The complexity and the structure and classification of Dynamical Systems Ergodic Theory: Interactions with Combinatorics and Number Theory Ergodic Theory on Homogeneous Spaces and Metric Number Theory Ergodic Theory: Rigidity Chaos and Ergodic Theory Ergodic Theory: Fractal Geometry

Read more less

Book SynopsisThis reference book for system engineers, architects, and managers focuses on how to design, analyze, and deploy Web service-based workflows for both business and scientific applications in a broad domain of healthcare and biomedicine.Table of ContentsForeword xi Preface xiii 1. Introduction 1 1.1 Background and Motivations, 1 1.1.1 Web Service and Service-Oriented Architecture, 1 1.1.2 Workflow Technology, 4 1.2 Overview of Standards, 8 1.2.1 Web Service-Related Standards, 8 1.2.2 Workflow-Related Standards, 19 1.3 Workflow Design: State of the Art, 22 1.3.1 Automatic Service Composition, 22 1.3.2 Mediation-Aided Service Composition, 23 1.3.3 Verification of Service-Based Workflows, 24 1.3.4 Decentralized Execution of Workflows, 25 1.3.5 Scientific Workflow Systems, 26 1.4 Contributions, 27 2. Petri Net Formalism 29 2.1 Basic Petri Nets, 29 2.2 Workflow Nets, 32 2.3 Colored Petri Nets, 35 3. Data-Driven Service Composition 39 3.1 Problem Statement, 40 3.1.1 Domains and Data Relations, 41 3.1.2 Problem Formulation, 43 3.2 Data-Driven Composition Rules, 45 3.2.1 Sequential Composition Rule, 46 3.2.2 Parallel Composition Rule, 46 3.2.3 Choice Composition Rule, 47 3.3 Data-Driven Service Composition, 48 3.3.1 Basic Definitions, 48 3.3.2 Derive AWSP from Service Net, 50 3.4 Effectiveness and Efficiency of the Data-Driven Approach, 55 3.4.1 Solution Effectiveness, 55 3.4.2 Complexity Analysis, 56 3.5 Case Study, 57 3.6 Discussion, 60 3.7 Summary, 61 3.8 Bibliographic Notes, 62 4. Analysis and Composition of Partially-Compatible Web Services 65 4.1 Problem Definition and Motivating Scenario, 65 4.1.1 A Motivating Scenario, 68 4.2 Petri Net Formalism for BPEL Service, Mediation, and Compatibility, 70 4.2.1 CPN Formalism for BPEL Process, 70 4.2.2 CPN Formalism for Service Composition, 73 4.2.3 Mediator and Mediation-Aided Service Composition, 75 4.3 Compatibility Analysis via Petri Net Models, 78 4.3.1 Transforming Abstract BPEL Process to SWF-net, 79 4.3.2 Specifying Data Mapping, 80 4.3.3 Mediator Existence Checking, 81 4.3.4 Proof of Theorem 4.1, 85 4.4 Mediator Generation Approach, 88 4.4.1 Types of Mediation, 88 4.4.2 Guided Mediator Generation, 90 4.5 Bibliographic Notes, 94 4.5.1 Web Service Composition, 94 4.5.2 Business Process Integration, 94 4.5.3 Web Service Configuration, 94 4.5.4 Petri Net Model of BPEL Processes, 94 4.5.5 Component/Web Service Mediation, 95 5. Web Service Configuration with Multiple Quality-of-Service Attributes 99 5.1 Introduction, 99 5.2 Quality-of-Service Measurements, 104 5.2.1 QoS Attributes, 104 5.2.2 Aggregation, 104 5.2.3 Computation of QoS, 105 5.3 Assembly Petri Nets and Their Properties, 107 5.3.1 Assembly and Disassembly Petri Nets, 107 5.3.2 Definition of Incidence Matrix and State-Shift Equation, 110 5.3.3 Definition of Subgraphs and Solutions, 111 5.4 Optimal Web Service Configuration, 114 5.4.1 Web Service Configuration under Single QoS Objective, 115 5.4.2 Web Service Configuration under Multiple QoS Objectives, 116 5.4.3 Experiments and Performance Analysis, 117 5.5 Implementation, 121 5.6 Summary, 123 5.7 Bibliographic Notes, 124 6. A Web Service-Based Public-Oriented Personalized Health Care Platform 127 6.1 Background and Motivation, 127 6.2 System Architecture, 129 6.2.1 The System Architecture of PHISP, 129 6.2.2 Services Encapsulated in PHISP, 131 6.2.3 Composite Service Specifications, 133 6.2.4 User/Domain Preferences, 134 6.3 Web Service Composition with Branch Structures, 137 6.3.1 Basic Ideas and Concepts, 137 6.3.2 Service Composition Planner Supporting Branch Structures, 139 6.3.3 Illustrating Examples, 148 6.4 Web Service Composition with Parallel Structures, 153 6.5 Demonstrations and Results, 155 6.5.1 WSC Example in PHISP, 155 6.5.2 Implementation of PHISP, 158 6.6 Summary, 159 7. Scientific Workflows Enabling Web-Scale Collaboration 161 7.1 Service-Oriented Infrastructure for Science, 162 7.1.1 Service-Oriented Scientific Exploration, 162 7.1.2 Case Study: The Cancer Grid (caGrid), 166 7.2 Scientific Workflows in Service-Oriented Science, 167 7.2.1 Scientific Workflow: Old Wine in New Bottle? 167 7.2.2 caGrid Workflow Toolkit, 174 7.2.3 Exemplary caGrid Workflows, 183 7.3 Summary, 188 8. Network Analysis and Reuse of Scientific Workflows 189 8.1 Social Computing Meets Scientific Workflow, 190 8.1.1 Social Network Services for Scientists, 191 8.1.2 Related Research Work, 197 8.2 Network Analysis of myExperiment, 199 8.2.1 Network Model at a Glance, 199 8.2.2 Undirected Network, 200 8.2.3 Directed Graph, 205 8.2.4 Summary of Findings, 206 8.3 ServiceMap: Providing Map and GPS Assisting Service Composition in Bioinformatics, 207 8.3.1 Motivation, 207 8.3.2 ServiceMap Approach, 209 8.3.3 What Do People Who Use These Services Also Use? 210 8.3.4 What is an Operation Chain Between Services/Operations, 212 8.3.5 An Empirical Study, 218 8.4 Summary, 219 9. Future Perspectives 221 9.1 Workflows in Hosting Platforms, 222 9.2 Workflows Empowered by Social Computing, 223 9.3 Workflows Meeting Big Data, 224 9.4 Emergency Workflow Management, 225 Abbreviations List 227 References 231 Index 247

Read more less

Book SynopsisAn all-in-one resource for designing and implementing embedded control in mobile robotics In Embedded Control for Mobile Robotic Applications, a distinguished trio of researchers delivers an authoritative and fulsome resource for understanding embedded control and robotics. The book includes coverage of a variety of embedded platforms, their use in controller implementation, stability analyses of designed controllers, and two new approaches for designing embedded controllers. The authors offer a full chapter on Field-Programmable-Gate-Array (FPGA) architecture development for controller design that is perfect for both practitioners and students taking robotics courses and provide a companion website that includes MATLAB codes for simulation and embedded platform-specific code for mobile robotic applications (in Embedded C and Verilog). The two approaches discussed by the authorsthe top-down methodology and the bottom-up methodologyare of immediate practical utility to both practicinTable of ContentsContributors ix Preface xi Acknowledgments xv Acronyms xvii Introduction xxi 1 Embedded Technology for Mobile Robotics 1 1.1 Embedded Control System 2 1.2 Mobile Robotics 4 1.2.1 Robot Model for 2D Motion 5 1.2.2 Robot Model for 3D Motion 20 1.3 Embedded Technology 29 1.3.1 Processor technology 31 1.3.2 IC technology 33 1.4 Commercially available embedded processors 35 1.4.1 Microprocessor 35 1.4.2 Microcontroller 36 1.4.3 Field Programmable Gate Arrays (FPGA) 37 1.4.4 Digital Signal Processor 38 1.5 Notes and further readings 39 2 Discrete-time controller design 41 2.1 Transfer function for equivalent discrete-time system 42 2.2 Discrete-time PID Controller design 49 2.3 Stability in embedded implementation 52 2.3.1 Sampling 52 2.3.2 Quantization 55 2.3.3 Processing time 62 2.4 Notes and Further Readings 62 3 Embedded Control and Robotics 65 3.1 Transformations 67 3.1.1 2D Transformations 67 3.1.2 3D Transformations 71 3.2 Collision detection & avoidance 73 3.2.1 Vector field histogram (VFH) 74 3.2.2 Curvature Velocity Technique (CVM) 76 3.2.3 Dynamic Window Approach (DWA) 76 3.3 Localization 78 3.4 Path Planning 83 3.4.1 Potential field path planning 84 3.4.2 Graph-based path planning 87 3.5 Multi-agent scenarios 93 3.6 Notes and Further Readings 97 4 Bottom-up Method 99 4.1 Computations using CORDIC1 100 4.1.1 Coordinate transformation 103 4.1.2 Exponential and logarithmic functions 104 4.2 Interval Arithmetic2 105 4.2.1 Basics of Interval Arithmetic 105 4.2.2 Inclusion Function and inclusion tests 108 4.3 Collision detection using interval technique3 110 4.4 Free interval computation for collision avoidance4 115 4.5 Notes for further reading 119 5 Top-Down Method 123 5.1 Robust controller design 124 5.1.1 Basic Definitions 125 5.1.2 State feedback control 128 5.1.3 Sliding mode control 133 5.1.4 Sliding surface design for position stabilization in 2D 144 5.1.5 Position stabilization for a vehicle in 3D 149 5.1.6 Embedded implementation 159 5.2 Switched nonlinear system 160 5.2.1 Swarm Aggregation as a switched nonlinear system 164 5.2.2 Embedded Implementation 169 5.3 Notes and Further Readings 170 6 Generic FPGA architecture design 173 6.1 FPGA basics and Verilog 174 6.2 Systematic approach for designing architecture using FSM1 182 6.2.1 PID controller architecture 183 6.2.2 Sliding Mode Controller Architecture 190 6.3 FPGA implementation 194 6.4 Parallel Implementation of Multiple Controllers 200 6.5 Notes and Further Readings 201 7 Summary 203 Contributors ix Preface xi Acknowledgments xv Acronyms xvii Introduction xxi 1 Embedded Technology for Mobile Robotics 1 1.1 Embedded Control System 2 1.2 Mobile Robotics 4 1.2.1 Robot Model for 2D Motion 5 1.2.2 Robot Model for 3D Motion 20 1.3 Embedded Technology 29 1.3.1 Processor technology 31 1.3.2 IC technology 33 1.4 Commercially available embedded processors 35 1.4.1 Microprocessor 35 1.4.2 Microcontroller 36 1.4.3 Field Programmable Gate Arrays (FPGA) 37 1.4.4 Digital Signal Processor 38 1.5 Notes and further readings 39 2 Discrete-time controller design 41 2.1 Transfer function for equivalent discrete-time system 42 2.2 Discrete-time PID Controller design 49 2.3 Stability in embedded implementation 52 2.3.1 Sampling 52 2.3.2 Quantization 55 2.3.3 Processing time 62 2.4 Notes and Further Readings 62 3 Embedded Control and Robotics 65 3.1 Transformations 67 3.1.1 2D Transformations 67 3.1.2 3D Transformations 71 3.2 Collision detection & avoidance 73 3.2.1 Vector field histogram (VFH) 74 3.2.2 Curvature Velocity Technique (CVM) 76 3.2.3 Dynamic Window Approach (DWA) 76 3.3 Localization 78 3.4 Path Planning 83 3.4.1 Potential field path planning 84 3.4.2 Graph-based path planning 87 3.5 Multi-agent scenarios 93 3.6 Notes and Further Readings 97 4 Bottom-up Method 99 4.1 Computations using CORDIC1 100 4.1.1 Coordinate transformation 103 4.1.2 Exponential and logarithmic functions 104 4.2 Interval Arithmetic2 105 4.2.1 Basics of Interval Arithmetic 105 4.2.2 Inclusion Function and inclusion tests 108 4.3 Collision detection using interval technique3 110 4.4 Free interval computation for collision avoidance4 115 4.5 Notes for further reading 119 5 Top-Down Method 123 5.1 Robust controller design 124 5.1.1 Basic Definitions 125 5.1.2 State feedback control 128 5.1.3 Sliding mode control 133 5.1.4 Sliding surface design for position stabilization in 2D 144 5.1.5 Position stabilization for a vehicle in 3D 149 5.1.6 Embedded implementation 159 5.2 Switched nonlinear system 160 5.2.1 Swarm Aggregation as a switched nonlinear system 164 5.2.2 Embedded Implementation 169 5.3 Notes and Further Readings 170 6 Generic FPGA architecture design 173 6.1 FPGA basics and Verilog 174 6.2 Systematic approach for designing architecture using FSM1 182 6.2.1 PID controller architecture 183 6.2.2 Sliding Mode Controller Architecture 190 6.3 FPGA implementation 194 6.4 Parallel Implementation of Multiple Controllers 200 6.5 Notes and Further Readings 201 7 Summary 203

Read more less

Book SynopsisAdvanced Control of Power Converters Unique resource presenting advanced nonlinear control methods for power converters, plus simulation, controller design, analyses, and case studies Advanced Control of Power Converters equips readers with the latest knowledge of three control methods developed for power converters: nonlinear control methods such as sliding mode control, Lyapunov-function-based control, and model predictive control. Readers will learn about the design of each control method, and simulation case studies and results will be presented and discussed to point out the behavior of each control method in different applications. In this way, readers wishing to learn these control methods can gain insight on how to design and simulate each control method easily. The book is organized into three clear sections: introduction of classical and advanced control methods, design of advanced control methods, and case studies. Each control method is supporTable of ContentsAbout the Authors xiii List of Abbreviations xvii Preface xix Acknowledgment xxi About the Companion Website xxiii 1 Introduction 1 1.1 General Remarks 1 1.2 Basic Closed-Loop Control for Power Converters 3 1.3 Mathematical Modeling of Power Converters 4 1.4 Basic Control Objectives 6 1.4.1 Closed-Loop Stability 6 1.4.2 Settling Time 10 1.4.3 Steady-State Error 11 1.4.4 Robustness to Parameter Variations and Disturbances 12 1.5 Performance Evaluation 12 1.5.1 Simulation-Based Method 12 1.5.2 Experimental Method 13 1.6 Contents of the Book 13 References 15 2 Introduction to Advanced Control Methods 17 2.1 Classical Control Methods for Power Converters 17 2.2 Sliding Mode Control 18 2.3 Lyapunov Function-Based Control 22 2.3.1 Lyapunov’s Linearization Method 23 2.3.2 Lyapunov’s Direct Method 24 2.4 Model Predictive Control 27 2.4.1 Functional Principle 27 2.4.2 Basic Concept 28 2.4.3 Cost Function 29 References 30 3 Design of Sliding Mode Control for Power Converters 33 3.1 Introduction 33 3.2 Sliding Mode Control of DC–DC Buck and Cuk Converters 33 3.3 Sliding Mode Control Design Procedure 44 3.3.1 Selection of Sliding Surface Function 44 3.3.2 Control Input Design 46 3.4 Chattering Mitigation Techniques 48 3.4.1 Hysteresis Function Technique 48 3.4.2 Boundary Layer Technique 49 3.4.3 State Observer Technique 50 3.5 Modulation Techniques 51 3.5.1 Hysteresis Modulation Technique 51 3.5.2 Sinusoidal Pulse Width Modulation Technique 52 3.5.3 Space Vector Modulation Technique 53 3.6 Other Types of Sliding Mode Control 54 3.6.1 Terminal Sliding Mode Control 54 3.6.2 Second-Order Sliding Mode Control 54 References 55 4 Design of Lyapunov Function-Based Control for Power Converters 59 4.1 Introduction 59 4.2 Lyapunov-Function-Based Control Design Using Direct Method 59 4.3 Lyapunov Function-Based Control of DC–DC Buck Converter 62 4.4 Lyapunov Function-Based Control of DC–DC Boost Converter 67 References 71 5 Design of Model Predictive Control 73 5.1 Introduction 73 5.2 Predictive Control Methods 73 5.3 FCS Model Predictive Control 75 5.3.1 Design Procedure 76 5.3.2 Tutorial 1: Implementation of FCS-MPC for Three-Phase VSI 80 5.4 CCS Model Predictive Control 86 5.4.1 Incremental Models 86 5.4.2 Predictive Model 88 5.4.3 Cost Function in CCSMPC 92 5.4.4 Cost Function Minimization 93 5.4.5 Receding Control Horizon Principle 96 5.4.6 Closed-Loop of an MPC System 97 5.4.7 Discrete Linear Quadratic Regulators 97 5.4.8 Formulation of the Constraints in MPC 99 5.4.9 Optimization with Equality Constraints 103 5.4.10 Optimization with Inequality Constraints 105 5.4.11 MPC for Multi-Input Multi-Output Systems 108 5.4.12 Tutorial 2: MPC Design For a Grid-Connected VSI in dq Frame 109 5.5 Design and Implementation Issues 112 5.5.1 Cost Function Selection 112 5.5.1.1 Examples for Primary Control Objectives 113 5.5.1.2 Examples for Secondary Control Objectives 114 5.5.2 Weighting Factor Design 114 5.5.2.1 Empirical Selection Method 115 5.5.2.2 Equal-Weighted Cost-Function-Based Selection Method 116 5.5.2.3 Lookup Table-Based Selection Method 117 References 118 6 MATLAB/Simulink Tutorial on Physical Modeling and Experimental Setup 121 6.1 Introduction 121 6.2 Building Simulation Model for Power Converters 121 6.2.1 Building Simulation Model for Single-Phase Grid-Connected Inverter Based on Sliding Mode Control 122 6.2.2 Building Simulation Model for Three-Phase Rectifier Based on Lyapunov-Function-Based Control 126 6.2.3 Building Simulation Model for Quasi-Z Source Three-Phase Four-Leg Inverter Based on Model Predictive Control 131 6.2.4 Building Simulation Model for Distributed Generations in Islanded AC Microgrid 137 6.3 Building Real-Time Model for a Single-Phase T-Type Rectifier 142 6.4 Building Rapid Control Prototyping for a Single-Phase T-Type Rectifier 154 6.4.1 Components in the Experimental Testbed 155 6.4.1.1 Grid Simulator 155 6.4.1.2 A Single-Phase T-Type Rectifier Prototype 156 6.4.1.3 Measurement Board 157 6.4.1.4 Programmable Load 158 6.4.1.5 Controller 158 6.4.2 Building Control Structure on OP- 5707 158 References 162 7 Sliding Mode Control of Various Power Converters 163 7.1 Introduction 163 7.2 Single-Phase Grid-Connected Inverter with LCL Filter 163 7.2.1 Mathematical Modeling of Grid-Connected Inverter with LCL Filter 164 7.2.2 Sliding Mode Control 165 7.2.3 PWM Signal Generation Using Hysteresis Modulation 168 7.2.3.1 Single-Band Hysteresis Function 168 7.2.3.2 Double-Band Hysteresis Function 168 7.2.4 Switching Frequency Computation 170 7.2.4.1 Switching Frequency Computation with Single-Band Hysteresis Modulation 170 7.2.4.2 Switching Frequency Computation with Double-Band Hysteresis Modulation 171 7.2.5 Selection of Control Gains 172 7.2.6 Simulation Study 174 7.2.7 Experimental Study 177 7.3 Three-Phase Grid-Connected Inverter with LCL Filter 180 7.3.1 Physical Model Equations for a Three-Phase Grid-Connected VSI with an LCL Filter 181 7.3.2 Control System 182 7.3.2.1 Reduced State-Space Model of the Converter 183 7.3.2.2 Model Discretization and KF Adaptive Equation 187 7.3.2.3 Sliding Surfaces with Active Damping Capability 188 7.3.3 Stability Analysis 189 7.3.3.1 Discrete-Time Equivalent Control Deduction 189 7.3.3.2 Closed-Loop System Equations 191 7.3.3.3 Test of Robustness Against Parameters Uncertainties 192 7.3.4 Experimental Study 192 7.3.4.1 Test of Robustness Against Grid Inductance Variations 192 7.3.4.2 Test of Stability in Case of Grid Harmonics Near the Resonance Frequency 196 7.3.4.3 Test of the VSI Against Sudden Changes in the Reference Current 196 7.3.4.4 Test of the VSI Under Distorted Grid 198 7.3.4.5 Test of the VSI Under Voltage Sags 198 7.3.5 Computational Load and Performances of the Control Algorithm 199 7.4 Three-Phase AC–DC Rectifier 200 7.4.1 Nonlinear Model of the Unity Power Factor Rectifier 200 7.4.2 Problem Formulation 202 7.4.3 Axis-Decoupling Based on an Estimator 203 7.4.4 Control System 205 7.4.4.1 Kalman Filter 206 7.4.4.2 Practical Considerations: Election of Q and R Matrices 208 7.4.4.3 Practical Considerations: Computational Burden Reduction 208 7.4.5 Sliding Mode Control 209 7.4.5.1 Inner Control Loop 209 7.4.5.2 Outer Control Loop 210 7.4.6 Hysteresis Band Generator with Switching Decision Algorithm 212 7.4.7 Experimental Study 215 7.5 Three-Phase Transformerless Dynamic Voltage Restorer 224 7.5.1 Mathematical Modeling of Transformerless Dynamic Voltage Restorer 224 7.5.2 Design of Sliding Mode Control for TDVR 225 7.5.3 Time-Varying Switching Frequency with Single-Band Hysteresis 227 7.5.4 Constant Switching Frequency with Boundary Layer 229 7.5.5 Simulation Study 231 7.5.6 Experimental Study 233 7.6 Three-Phase Shunt Active Power Filter 240 7.6.1 Nonlinear Model of the SAPF 240 7.6.2 Problem Formulation 242 7.6.3 Control System 243 7.6.3.1 State Model of the Converter 243 7.6.3.2 Kalman Filter 245 7.6.3.3 Sliding Mode Control 246 7.6.3.4 Hysteresis Band Generator with SDA 247 7.6.4 Experimental Study 248 7.6.4.1 Response of the SAPF to Load Variations 249 7.6.4.2 SAPF Performances Under a Distorted Grid 253 7.6.4.3 SAPF Performances Under Grid Voltage Sags 254 7.6.4.4 Spectrum of the Control Signal 254 References 257 8 Design of Lyapunov Function-Based Control of Various Power Converters 261 8.1 Introduction 261 8.2 Single-Phase Grid-Connected Inverter with LCL Filter 261 8.2.1 Mathematical Modeling and Controller Design 261 8.2.2 Controller Modification with Capacitor Voltage Feedback 264 8.2.3 Inverter-Side Current Reference Generation Using Proportional- Resonant Controller 264 8.2.4 Grid Current Transfer Function 266 8.2.5 Harmonic Attenuation and Harmonic Impedance 267 8.2.6 Results 270 8.3 Single-Phase Quasi-Z-Source Grid-Connected Inverter with LCL Filter 277 8.3.1 Quasi-Z-Source Network Modeling 277 8.3.2 Grid-Connected Inverter Modeling 280 8.3.3 Control of Quasi-Z-Source Network 281 8.3.4 Control of Grid-Connected Inverter 281 8.3.5 Reference Generation Using Cascaded PR Control 282 8.3.6 Results 283 8.4 Single-Phase Uninterruptible Power Supply Inverter 287 8.4.1 Mathematical Modeling of Uninterruptible Power Supply Inverter 287 8.4.2 Controller Design 288 8.4.3 Criteria for Selecting Control Parameters 290 8.4.4 Results 292 8.5 Three-Phase Voltage-Source AC–DC Rectifier 298 8.5.1 Mathematical Modeling of Rectifier 298 8.5.2 Controller Design 301 8.5.3 Results 304 References 307 9 Model Predictive Control of Various Converters 309 9.1 CCS MPC Method for a Three-Phase Grid-Connected VSI 309 9.1.1 Model Predictive Control Design 310 9.1.1.1 VSI Incremental Model with an Embedded Integrator 310 9.1.1.2 Predictive Model of the Converter 311 9.1.1.3 Cost Function Minimization 312 9.1.1.4 Inclusion of Constraints 313 9.1.2 MATLAB ® /Simulink ® Implementation 315 9.1.3 Simulation Studies 322 9.2 Model Predictive Control Method for Single-Phase Three-Level Shunt Active Filter 325 9.2.1 Modeling of Shunt Active Filter (SAPF) 325 9.2.2 The Energy-Function-Based MPC 328 9.2.2.1 Design of Energy-Function-Based MPC 328 9.2.2.2 Discrete-Time Model 331 9.2.3 Experimental Studies 332 9.2.3.1 Steady-State and Dynamic Response Tests 333 9.2.3.2 Comparison with Classical MPC Method 337 9.3 Model Predictive Control of Quasi-Z Source Three-Phase Four-Leg Inverter 341 9.3.1 qZS Four-Leg Inverter Model 341 9.3.2 MPC Algorithm 345 9.3.2.1 Determination of References 345 9.3.2.2 Discrete-Time Models of the System 346 9.3.2.3 Cost Function Optimization 347 9.3.2.4 Control Algorithm 347 9.3.3 Simulation Results 349 9.4 Weighting Factorless Model Predictive Control for DC–DC SEPIC Converters 352 9.4.1 Principle of Control Strategy 352 9.4.1.1 Conventional Model Predictive Current Control 355 9.4.1.2 Cost Function Analysis of Conventional MPC 356 9.4.1.3 Cost Function Design of Presented MPC in [11] 358 9.4.1.4 Output Voltage Control 361 9.4.2 Experimental Results 362 9.4.2.1 Switching Frequency Control Test 362 9.4.2.2 Dynamic Response Test Under Input Voltage Variation 363 9.4.2.3 Dynamic Response Test Under Load Change 366 9.4.2.4 Influence of Parameter Mismatch 367 9.5 Model Predictive Droop Control of Distributed Generation Inverters in Islanded AC Microgrid 370 9.5.1 Conventional Droop Control 370 9.5.2 Control Technique 373 9.5.2.1 Reference Voltage Generation Through Droop Control 373 9.5.2.2 Model Predictive Control 374 9.5.3 Simulation Results 376 9.6 FCS-MPC for a Three-Phase Shunt Active Power Filter 378 9.6.1 System Modeling 381 9.6.2 Control Technique 383 9.6.3 FCS-MPC with Reduced States 384 9.6.3.1 Vector Selection Based on Vector Operation 384 9.6.3.2 Cost Function Minimization Procedure 387 9.6.3.3 Kalman Filter 387 9.6.4 Experimental Results 389 9.7 FCS-MPC for a Single-Phase T-Type Rectifier 395 9.7.1 Modeling of Single-Phase T-Type Rectifier 395 9.7.2 Model Predictive Control 397 9.7.2.1 Sensorless Grid Voltage Estimation 397 9.7.2.2 Reference Current Generation 400 9.7.2.3 MPC for the T-Type Rectifier 400 9.7.2.4 MPC for the Power Decoupling Circuit 402 9.7.3 Experimental Studies 404 9.7.3.1 Steady-State Analysis 404 9.7.3.2 Robustness Analysis 404 9.8 Predictive Torque Control of Brushless Doubly Fed Induction Generator Fed by a Matrix Converter 408 9.8.1 Overview of the System Model 411 9.8.1.1 Topology Overview 411 9.8.1.2 Mathematical Model of the CDFIG 412 9.8.1.3 Mathematical Model of the Matrix Converter 414 9.8.2 Predictive Torque Control of CDFIG 415 9.8.2.1 Outer Loop 416 9.8.2.2 Internal Model of the Controller 416 9.8.2.3 Cost Function Minimization 418 9.8.3 Simulation Results 418 9.9 An Enhanced Finite Control Set Model Predictive Control Method with Self-Balancing Capacitor Voltages for Three-Level T-Type Rectifiers 420 9.9.1 Overview of the System Model 422 9.9.2 Problem Definition 424 9.9.3 Derivation of Lyapunov-Energy Function 425 9.9.4 Discrete-Time Model 428 9.9.5 Experimental Studies 429 References 431 Index 435

Read more less

Book SynopsisUltimately, he reveals the crucial role played by the cybernetics moment-when cybernetics and information theory were seen as universal sciences-in setting the stage for our current preoccupation with information technologies.Trade ReviewNowhere in the burgeoning secondary literature on cybernetics in the last two decades is there a concise history of cybernetics, the science of communication and control that helped usher in the current information age in America. Nowhere, that is, until now... Readers have in The Cybernetics Moment the first authoritative history of American cybernetics. Information & Culture [A]n extremely interesting and stimulating history of the concepts of cybernetics... This is a book for everyone to read, relish, and think about. Choice As a whole, the book presents a comprehensive in-depth retrospective analysis of the contribution of the American scientific school to the making, formation, and development of cybernetics and information theory. An unquestionable advantage of the book is the skillful use of numerous bibliographic sources by the author that reflect the scientific, engineering, and social significance of the questions being considered, competition of ideas and developments, and also interrelations between scientists. Cybernetics and System Anaysis Dr. Kline is perhaps uniquely situated to take on so large and complicated [a] topic as cybernetics... Readers unfamiliar with Wiener and his work are well advised to start with this well-written and thorough book. Those who are already familiar will still find much that is new and informative in the thorough research and reasoned interpretations. IEEE History Center The most comprehensive intellectual history of cybernetics in Cold War America. Journal of American History The book will be most valuable as historical background for the large number of disciplines that were involved in the cybernetics moment: computer science, communications engineering, information theory, and the social sciences of sociology and anthropology. IEEE Technology and Society Magazine Ronald Kline's chronicle of cybernetics certainly does what an excellent history of science should do. It takes you there-to the golden age of a new, exciting field. You will almost smell that cigar. Second-Order Cybernetics Kline's The Cybernetics Moment tracks the rise and fall of the cybernetics movement in more detail than any historical account to date. Los Angeles Review of Books Kline does a valuable service tracing the contrasting fates of cybernetics and information theory. Annals of Science ... The knowledge offered in The Cybernetics Moment will greatly contribute to any reader seeking an enhanced or more comprehensive understanding of our present-day discourse surrounding information, while also providing a detailed and well-warranted history of the science of cybernetics. Canadian Journal of Academic Librarianship After reading his book, it is impossible to ignore the contribution that cybernetics has made to computational models and techniques used in numerous academic disciplines, and to how so many of these disciplines- from biology and engineering to social sciences and the humanities-operated even in quantitative and social history. With The Cybernetics Moment, Kline has moved cybernetics out of the shadows of intellectual history into the limelight. The American Historical ReviewTable of ContentsAcknowledgmentsIntroduction1. War and Information Theory2. Circular Causality3. The Cybernetics Craze4. The Information Bandwagon5. Humans as Machines6. Machines as Human7. Cybernetics in Crisis8. Inventing an Information Age9. Two Cybernetic FrontiersAbbreviationsNotesIndex

Read more less

Book SynopsisIt provides detailed derivations for attitude kinematics and dynamics and provides detailed description of the most widely used attitude parameterization, the quaternion.Trade Review“The present book presents the fundamental concepts and mathematical basis for spacecraft attitude description and control. … Every chapter and appendix contains a rich references. After reading this book, the reader will be convinced that the intended audience for it consists of graduate students, Ph.D. students and scientists with an interest in spacecraft attitude determination and control.” (Clementina Mladenova, zbMATH 1381.70006, 2018)“It is of exceptional quality in both the range of subjects covered and the detail of that coverage. … this book has a lot to offer to those of us involved in the developments and data processing for such projects, describing in detail external forces as well as the effects of non-rigidity. … this is a very worthwhile volume, highly recommended for anyone involved in astronomical or other satellite projects.” (Floor van Leeuwen, The Observatory, Vol. 135 (1246), June, 2015)“This is an excellent book. Markley … and Crassidis (Univ. of Buffalo) have succeeded in creating a work that is a good textbook for both upper-level undergraduate and graduate students as well as practitioners. … book ends with several appendixes that further support the rest of the book and also provide novice practitioners with a good resource to help them understand the more technical and complicated material. … Summing Up: Highly recommended. Aerospace engineering collections serving upper-division undergraduates through professionals/practitioners.” (D. B. Spencer, Choice, Vol. 52 (7), March, 2015)Table of ContentsAttitude Determination and Estimation.- Matrices, Vectors, Frames, Transforms.- Rotational Kinematics and Dynamics.- Sensors and Actuators.- Static Attitude Determination Methods.- Filtering for Attitude Determination.- Attitude Control.

Read more less

Book SynopsisA bold new theory of cyberwar argues that militarized hacking is best understood as a form of deconstruction From shadowy attempts to steal state secrets to the explosive destruction of Iranian centrifuges, cyberwar has been a vital part of statecraft for nearly thirty years. But although computer-based warfare has been with us for decades, it has changed dramatically since its emergence in the 1990s, and the pace of change is accelerating.In Deconstruction Machines, Justin Joque inquires into the fundamental nature of cyberwar through a detailed investigation of what happens at the crisis points when cybersecurity systems break down and reveal their internal contradictions. He concludes that cyberwar is best envisioned as a series of networks whose constantly shifting connections shape its very possibilities. He ultimately envisions cyberwar as a form of writing, advancing the innovative thesis that cyber attacks should be seen as a militarized form of deconstruction in which computer programs are systems that operate within the broader world of texts. Throughout, Joque addresses hot-button subjects such as technological social control and cyber-resistance entities like Anonymous and Wikileaks while also providing a rich, detailed history of cyberwar. Deconstruction Machines provides a necessary new interpretation of deconstruction and timely analysis of media, war, and technology. Trade Review"Deconstruction machines provides a powerful insight into how cyberwar serves to militarize writing, threatens civic infrastructure and thereby brings war into the code and software that governs our everyday lives." —International AffairsTable of ContentsContentsForewordCatherine MalabouAcknowledgmentsIntroduction: Root Kit1. Buffer Overflow: The Space and Time of Cyberwar2. Injection Attack: Writing and the Information Catastrophe3. Distributed Denial of Service: Cybernetic Sovereignty4. Spear Phishing: Nodal SubjectsConclusion: Firmware VulnerabilitiesNotesIndex

Read more less

Book SynopsisA bold new theory of cyberwar argues that militarized hacking is best understood as a form of deconstruction From shadowy attempts to steal state secrets to the explosive destruction of Iranian centrifuges, cyberwar has been a vital part of statecraft for nearly thirty years. But although computer-based warfare has been with us for decades, it has changed dramatically since its emergence in the 1990s, and the pace of change is accelerating.In Deconstruction Machines, Justin Joque inquires into the fundamental nature of cyberwar through a detailed investigation of what happens at the crisis points when cybersecurity systems break down and reveal their internal contradictions. He concludes that cyberwar is best envisioned as a series of networks whose constantly shifting connections shape its very possibilities. He ultimately envisions cyberwar as a form of writing, advancing the innovative thesis that cyber attacks should be seen as a militarized form of deconstruction in which computer programs are systems that operate within the broader world of texts. Throughout, Joque addresses hot-button subjects such as technological social control and cyber-resistance entities like Anonymous and Wikileaks while also providing a rich, detailed history of cyberwar. Deconstruction Machines provides a necessary new interpretation of deconstruction and timely analysis of media, war, and technology. Trade Review"Deconstruction machines provides a powerful insight into how cyberwar serves to militarize writing, threatens civic infrastructure and thereby brings war into the code and software that governs our everyday lives." —International AffairsTable of ContentsContentsForewordCatherine MalabouAcknowledgmentsIntroduction: Root Kit1. Buffer Overflow: The Space and Time of Cyberwar2. Injection Attack: Writing and the Information Catastrophe3. Distributed Denial of Service: Cybernetic Sovereignty4. Spear Phishing: Nodal SubjectsConclusion: Firmware VulnerabilitiesNotesIndex

Read more less