Cybernetics and systems theory Books

Book SynopsisDynamical systems and the twin field ergodic theory have their roots in the qualitative theory of differential equations, developed by the great mathematician Henri Poincaré, and in the kinetic theory of gases built in mathematical terms by physicists James Clerk Maxwell and Ludwig Boltzmann. Together, they aim to model, explain and predict the behavior of natural and artificial phenomena which evolve in time. For more than three decades, Marcelo Viana has been making several outstanding contributions to this area of mathematics. This volume contains a selection of his research papers, covering a wide range of topics: rigorous theory of strange attractors, physical measures, bifurcation theory, homoclinic phenomena, fractal dimensions, partial hyperbolicity, thermodynamic formalism, non-uniform hyperbolicity, interval exchange maps Teichmüller flows, and the modern theory of Lyapunov exponents. Marcelo Viana, a world leader in this field, has been the object of several academic distinctions, such as the inaugural Ramanujan prize of the International Centre for Theoretical Physics, and the Louis D. Scientific Grand Prix of the Institut de France. He is also recognized for his broad contribution to the mathematical community, in his country and region as well as in the international arena.Table of ContentsModuli of continuity for the Lyapunov exponents of random GL(2)-cocycles: El Hadji Yaya Tall and Marcelo Viana.- Continuity of Lyapunov exponents in the C 0 topology: Marcelo Viana and Jiagang Yang.- Continuity of Lyapunov exponents for random two-dimensional matrices: Carlos Bocker-Neto and Marcelo Viana.- Absolute continuity, Lyapunov exponents and rigidity I: geodesic flows: Artur Avila, Marcelo Viana and Amie Wilkinson.- Holonomy invariance: rough regularity and applications to Lyapunov exponents: Artur Avila, Jimmy Santamaria and Marcelo Viana.- Extremal Lyapunov exponents: an invariance principle and applications: Artur Avila and Marcelo Viana.- Almost all cocycles over any hyperbolic system have nonvanishing Lyapunov exponents: Marcelo Viana.- Simplicity of Lyapunov spectra: proof of the Zorich–Kontsevich conjecture: Artur Avila and Marcelo Viana.- The Lyapunov exponents of generic volume-preserving and symplectic maps: Jairo Bochi and Marcelo Viana.- xv Contents Généricité d’exposants de Lyapunov non-nuls pour des produits déterministes de matrices [Genericity of non-zero Lyapunov exponents for deterministic products of matrices]: Christian Bonatti, Xavier Gómez-Mont and Marcelo Viana.- Solution of the basin problem for Hénon-like attractors: Michael Benedicks and Marcelo Viana.- SRB measures for partially hyperbolic systems whose central direction is mostly contracting: Christian Bonatti and Marcelo Viana.- SRB measures for partially hyperbolic systems whose central direction is mostly expanding: José F. Alves, Christian Bonatti and Marcelo Viana.- Multidimensional nonhyperbolic attractors: Marcelo Viana.- Strange attractors in saddle-node cycles: prevalence and globality: L.J. Diaz, J. Rocha and M. Viana.- High dimension diffeomorphisms displaying infinitely many periodic attractors: J. Palis and M. Viana.- Abundance of strange attractors: Leonardo Mora and Marcelo Viana.- List of Publications of Marcelo Viana.- List of Ph.D. Students of Marcelo Viana at IMPA.- Credits.

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Book SynopsisThis book touches upon various aspects of a very interesting, and growing in popularity category of models of dynamical systems. These are the so-called fractional-order systems. Such models are not only relevant for many fields of science and technology, but may also find numerous applications in other disciplines applying the mathematical modelling tools. Thus, the book is intended for a very wide audience of professionals who want to expand their knowledge of systems modelling and its applications.The book includes the selections of papers presented at the International Conference on Fractional Calculus and its Applications organized by the Warsaw University of Technology and was held online on 6–8 September 2021.The International Conference on Fractional Calculus and its Applications (ICFDA) has an almost twenty years history. It started in Bordeaux (France) in 2004, followed by Porto (Portugal) 2006, Istanbul (Turkey) 2008, Badajoz (Spain) 2010, Nanjing (China) 2012, Catania (Italy) 2014, Novi Sad (Serbia) 2016, Amman (Jordan) 2018. Next ICFDA was planned in 2020 in Warsaw (Poland), but COVID-19 pandemic shifted it to 6–8 September 2021. Hence, the organizers were forced to change the form of the conference to the online one.In the volume twenty eight high-quality research papers presented during the ICFDA 2021 eleven Regular Sessions with an additional online Discussion Session are presented. The presented papers are scientifically inspiring, leading to new fruitful ideas. They cover a very broad range of many disciplines. Nowadays, and especially in such a subject as fractional calculus, it is very difficult to assign papers to specific scientific areas. So, many of the papers included have an interdisciplinary character.

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Book SynopsisThe book consists of papers on selected topics of dependability analysis in computer systems and networks which were discussed during the 17th DepCoS-RELCOMEX conference held in Wrocław, Poland, from June 27th to July 1st, 2022. Their collection will be an interesting source material for scientists, researchers, practitioners and students who are dealing with design, analysis and engineering of computer systems and networks and must ensure their dependable operation. Being probably the most complex technical systems ever engineered by man (and also, the most dynamically evolving ones), organization of contemporary computer systems and networks cannot be interpreted only as a structure built on the base of unreliable technical resources. Their evaluation must take into account a unique blend of interacting people, networks (together with mobile properties, cloud organization, Internet of Everything, etc.) and a large number of users dispersed geographically and constantly producing an unconceivable number of applications. Research methods being continuously developed for dependability analyses apply newest results of artificial and computational intelligence. Selection of papers in this book illustrates broad range of topics, often multi-disciplinary, which is considered in present-day dependability explorations; it also reveals an increasing role of the latest methods based on machine/deep learning and neural networks in these studies.Table of ContentsMeasures of Outlierness in High-Dimensional Data under Correlation of Features - with Application for Open-Set Classification, Szymon Datko, Henryk Maciejewski, Tomasz Walkowiak.- Multiprocessor tasks scheduling - Fuzzy Logic Approach, Dariusz Dorota.- Nonparametric tracking for time-varying nonlinearities using the kernel method, Purva Joshi, Grzegorz Mzyk.- Embedded systems' startup code optimization, Patryk Pankiewicz.- Influence of accelerometer placement on biometric gaitidentification, Aleksander Sawicki.- An Impact of Data Augmentation Techniques on the Robustness of CNNs, Kamil Szyc.- Dual Learning Model for Multiclass Brain Tumor classification, Rohit Thanki, Sanna Kaddoura.

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Book SynopsisHigh dimensional reference architectures presented here allows confronting and prevailing over the growing complexity of polytopic projects implementations.Such projects should be envisaged giving that conventional systems operations, equipments, methodologies or organizations will reach their limits for self-evolvability in high complexity conditions. Self-evolvable high complexity systems are based on high dimensional polytopic reference architectures.Polytope is the general term of the sequence: point, line, polygon, polyhedron and so on.The polytopic projects are targeting the artificiality, not only for materials where it is well known and applied, but also for biological, cognitive, intelligent and mathematical systems. The book highlights the polytopic projects basic similarity despite the noticeable difference as domains of application. The roads to follow and the algebra of changing roads are emphasized.The book is divided in 9 chapters. Chapter 1 introduces the Polytopic Roadmap to 4D and beyond. The role for the dialogue of processes in duality of the non-Aristotelian Logic of Contradiction and of Included Middle is emphasized for different domains. Chapter 2 refers to chemical systems. Supramolecular chemistry, metal organic frameworks, MOF, and reaction networks, are the examples considered in the frame of polytopic chemistry. Chapter 3 refers to biological systems. Biological dynamical hierarchies and quasi-species are the considered case studies. Technological and scientific projects targeting artificiality for cells and viruses are considered. Chapter 4 refers to cognitive systems. Developmental stages, formal and relational concepts analysis, and neural coding are considered here. The roles of the 4D systems of systems of systems and of conceptual 4D-cube are emphasized. Artificiality for cognitive systems is the object of study.Chapter 5 refers to mathematical systems. Modeling levels and the 4D digital twins are discussed. Hopf monoids as tools for the study of combinations and separations, dual graded graphs and V-models are informally presented. Chapter 6 refers to application of formal concept analysis, FCA, for high dimensional separations, nesting and drug delivery. Chapter 7 refers to polytopic engineering systems as multiscale transfer, distributors-collectors, cyclic operations, middle vessel columns, mixing, assembly and designs. Equipments have been characterized using Polytopic Roadmaps and classified by Periodic Tables. Chapter 8 introduces polytopic industry, economy, society and sustainability. Chapter 9 outlines new domains of interest as arts and architecture, transdisciplinarity, complex systems and unity of sciences and engineering.Polytopic Roadmaps are proposed as Method for experts from various fields to synthesize their thinking and capabilities into new projects implementation to face and surpass high complexity. A repetitive finding of this book is that self-evolvability observed in physical systems is based on the same directed sequence of reference architectures as the self-evolvability of concepts in our mind. Continuing to develop the field of self-evolvable systems and presenting the polytopic roadmaps for 4D and beyond advances in ever growing complexity domains, the book will be useful to engineers, researchers, entrepreneurs and students in different branches of production, complex systems sciences and engineering, ecology and applied mathematics.Table of ContentsRoadmap to 4D and beyond.- Cognitive Systems.- Conceptual Systems.- Prospective.- Index.

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Book SynopsisMathematical Modeling for Epidemiology and Ecology provides readers with the mathematical tools needed to understand and use mathematical models and read advanced mathematical biology books. It presents mathematics in biological contexts, focusing on the central mathematical ideas and the biological implications, with detailed explanations. The author assumes no mathematics background beyond elementary differential calculus. An introductory chapter on basic principles of mathematical modeling is followed by chapters on empirical modeling and mechanistic modeling. These chapters contain a thorough treatment of key ideas and techniques that are often neglected in mathematics books, such as the Akaike Information Criterion. The second half of the book focuses on analysis of dynamical systems, emphasizing tools to simplify analysis, such as the Routh-Hurwitz conditions and asymptotic analysis. Courses can be focused on either half of the book or thematically chosen material from both halves, such as a course on mathematical epidemiology.The biological content is self-contained and includes many topics in epidemiology and ecology. Some of this material appears in case studies that focus on a single detailed example, and some is based on recent research by the author on vaccination modeling and scenarios from the COVID-19 pandemic.The problem sets feature linked problems where one biological setting appears in multi-step problems that are sorted into the appropriate section, allowing readers to gradually develop complete investigations of topics such as HIV immunology and harvesting of natural resources. Some problems use programs written by the author for Matlab or Octave; these combine with more traditional mathematical exercises to give students a full set of tools for model analysis. Each chapter contains additional case studies in the form of projects with detailed directions. New appendices contain mathematical details on optimization, numerical solution of differential equations, scaling, linearization, and sophisticated use of elementary algebra to simplify problems.Trade Review“This is a well-written book, highly suitable for applied math undergraduate students.” (Stephanie Abo, Chi-Chung Cheung, Ryth Dasgupta, Pritha Dutta, Shervin Hakimi, Amandeep Kaur, Anita T. Layton, Mehrshad Sadria, Melissa Stadt, Vasu Swaroop and Kaixin Zheng)Table of ContentsPart I Mathematical Modeling.- 1 Modeling in Biology.- 2 Empirical Modeling.- 3 Mechanistic Modeling. Part II Dynamical Systems.- 4 Dynamics of Single Populations.- 5 Discrete Linear Systems.- 6 Nonlinear Dynamical Systems.- Appendix A. Using Matlab and Octave.- Appendix B. Derivatives and Differentiation.- Appendix C. Nonlinear Optimization.- Appendix D. A Runge-Kutta Method for Numerical Solution of Differential Equations.- Appendix E. Scales and Dimensionless Parameters.- Appendix F. Approximating a Nonlinear System at an Equilibrium Point.- Appendix G. Best Practices in the Use of Algebra.- Hints and Answers to Selected Problems.- Index.

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Book SynopsisCommissioned by the Society for Modeling and Simulation International (SCS), this needed, useful new ‘Body of Knowledge’ (BoK) collects and organizes the common understanding of a wide collection of professionals and professional associations.Modeling and simulation (M&S) is a ubiquitous discipline that lays the computational foundation for real and virtual experimentation, clearly stating boundaries—and interactions—of systems, data, and representations. The field is well known, too, for its training support via simulations and simulators. Indeed, with computers increasingly influencing the activities of today’s world, M&S is the third pillar of scientific understanding, taking its place along with theory building and empirical observation.This valuable new handbook provides intellectual support for all disciplines in analysis, design and optimization. It contributes increasingly to the growing number of computational disciplines, addressing the broad variety of contributing as well as supported disciplines and application domains. Further, each of its sections provide numerous references for further information. Highly comprehensive, the BoK represents many viewpoints and facets, captured under such topics as: Mathematical and Systems Theory Foundations Simulation Formalisms and Paradigms Synergies with Systems Engineering and Artificial Intelligence Multidisciplinary Challenges Ethics and Philosophy Historical Perspectives Examining theoretical as well as practical challenges, this unique volume addresses the many facets of M&S for scholars, students, and practitioners. As such, it affords readers from all science, engineering, and arts disciplines a comprehensive and concise representation of concepts, terms, and activities needed to explain the M&S discipline.Tuncer Ören is Professor Emeritus at the University of Ottawa. Bernard Zeigler is Professor Emeritus at the University of Arizona. Andreas Tolk is Chief Scientist at The MITRE Corporation. All three editors are long-time members and Fellows of the Society for Modeling and Simulation International. Under the leadership of three SCS Fellows, Dr. Ören, University of Ottawa, Dr. Zeigler, The University of Arizona, and Dr. Tolk, The MITRE Corporation, more than 50 international scholars from 15 countries provided insights and experience to compile this initial M&S Body of Knowledge.Table of Contents1. Preliminary.- 2. M&S BOK Core Areas and the Big Picture.- 3. Simulation as Experimentation.- 4. Simulation as Experience to Enhance Three Types of Skills.- 5. Simulation Games (Simulation as Experience for Entertainment).- 6. Infrastructure.- 7. Reliability and Quality Assurance of M&S.- 8. Ethics.- 9. Enterprise (Economics of M&S).- 10. Maturity.- 11. Supporting Domains: Computers and Computation.- 12. Supporting Science Areas.- 13. Supporting Engineering Areas.-14. Supporting Social Science and Management Areas.- 15. Philosophy and Modelling and Simulation.- 16. History.- 17. Core Research Areas.- 18. Trends, Desirable Features, and Challenges.

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Book SynopsisInput-to-State Stability presents the dominating stability paradigm in nonlinear control theory that revolutionized our view on stabilization of nonlinear systems, design of robust nonlinear observers, and stability of nonlinear interconnected control systems. The applications of input-to-state stability (ISS) are manifold and include mechatronics, aerospace engineering, and systems biology. Although the book concentrates on the ISS theory of finite-dimensional systems, it emphasizes the importance of a more general view of infinite-dimensional ISS theory. This permits the analysis of more general system classes and provides new perspectives on and a better understanding of the classical ISS theory for ordinary differential equations (ODEs). Features of the book include: • a comprehensive overview of the theoretical basis of ISS; • a description of the central applications of ISS in nonlinear control theory; • a detailed discussion of the role of small-gain methods in the stability of nonlinear networks; and • an in-depth comparison of ISS for finite- and infinite-dimensional systems. The book also provides a short overview of the ISS theory for other systems classes (partial differential equations, hybrid, impulsive, and time-delay systems) and surveys the available results for the important stability properties that are related to ISS. The reader should have a basic knowledge of analysis, Lebesgue integration theory, linear algebra, and the theory of ODEs but requires no prior knowledge of dynamical systems or stability theory. The author introduces all the necessary ideas within the book. Input-to-State Stability will interest researchers and graduate students studying nonlinear control from either a mathematical or engineering background. It is intended for active readers and contains numerous exercises of varying difficulty, which are integral to the text, complementing and widening the material developed in the monograph.Table of Contents

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Book SynopsisThis book covers power systems cybersecurity. In order to enhance overall stability and security in wide-area cyber-physical power systems and defend against cyberattacks, new resilient operation, control, and protection methods are required. The cyberattack-resilient control methods improve overall cybersecurity and stability in normal and abnormal operating conditions. By contrast, cyberattack-resilient protection schemes are important to keep the secure operation of a system under the most severe contingencies and cyberattacks. The main subjects covered in the book are: 1) proposing new tolerant and cyberattack-resilient control and protection methods against cyberattacks for future power systems, 2) suggesting new methods for cyberattack detection and cybersecurity assessment, and 3) focusing on practical issues in modern power systems. Table of ContentsChapter 1. A comprehensive review on cyber-attack detection and control of microgrid systems.- Chapter 2. Cyber Vulnerabilities of Modern Power Systems.- Chapter 3. Cyber-Physical Security in Smart Power Systems from a Resilience Perspective: Concepts and Possible Solutions.- Chapter 4. Cybersecurity Challenges in Microgrids: Inverter-Based Resources and Electric Vehicles.- Chapter 5. Improving Cybersecurity Situational Awareness in Smart Grid Environments.- Chapter 6. Hybrid Physics-Based and Data-driven Mitigation Strategy for Automatic Generation Control Under Cyber Attack.- Chapter 7. Data Driven Cybr Resilient Control of Wide Area Power Systems.- Chapter 8. Cyberattack-Resilient Control in Multi-Area Power Generation.- Chapter 9. Cyber-Security of Protection System in Power Grids - Part 1: Vulnerabilities and Counter-Measures.- Chapter 10. Cyber-Security of Protection System in Power Grids - Part 2: Case Studies on Securing Line Current Differential Relays.- Chapter 11. Semi-supervised deep learning-driven anomaly detection schemes for cyber-attack detection in smart grids.- Chapter 12. Vertical approach Anomaly Detection using Local Outlier Factor.- Chapter 13. A modular infrastructure for the validation of cyberattack detection systems.- Chapter 14. A novel self-learning cybersecurity system for smart grids.- Chapter 15. Cyber-resilience enhancement framework in smart grids.- Chapter 16. SOAR4DER: Security Orchestration, Automation, and Response for Distributed Energy Resources.- Chapter 17. A Study on Cyber-Physical System Architecture for Smart Grids and Its Cyber Vulnerability.- Chapter 18. A Study on Cybersecurity Standards for Power Systems.

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Book SynopsisThis book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XI International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2022). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics, and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks and technological networks.Table of ContentsPart I: Information Spreading in Social Media.- Cognitive Cascades within Media Ecosystems: Simulating Fragmentation, Selective Exposure and Media Tactics to Investigate Polarization.- Properties of Reddit News Topical Interactions.- Will You Take the Knee? Italian Twitter Echo Chambers’ Genesis during EURO 2020.- A simple model of knowledge scaffolding.- Using knowledge graphs to detect partisanship in online political discourse.- The wisdom_of_crowds: an efficient, philosophically-validated, social epistemological network profiling toolkit.- Opening up echo chambers via optimal content recommendation.- Change my Mind: Data Driven Estimate of Open-Mindedness from Political Discussions.- The effects of message sorting in the diffusion of information in online social media.- Gradual Network Sparsification and Georeferencing for Location-Aware Event Detection in Microblogging Services.- Manipulation during the French presidential campaign : Coordinated inauthentic behaviors and astroturfing analysis on text and images.- Part II: Modeling Human Behavior.- Lexical networks constructed to correspond students’ short written responses: A quantum semantic approach.- Attributed Stream-Hypernetwork analysis: Homophilic Behaviors in Pairwise and Group Political Discussions on Reddit.- Individual Fairness for Social Media Influencers.- Multidimensional online American politics: Mining emergent social cleavages in social graphs.- Classical and quantum random walks to identify leaders in criminal networks.- Random walk for generalization in goal-directed human navigation on Wikipedia.- Sometimes Less is More: When Aggregating Networks Masks Effects.- An Adaptive Network Model Simulating the Effects of Different Culture Types and Leader Qualities on Mistake Handling and Organisational Learning.- Part III: Biological Networks.- Modeling of Hardy-Weinberg Equilibrium using dynamic random networks in an ABM framework.- IntegrOmics: A computational Framework to analyze RNA-Seq and Methylation data through heterogeneous multi-layer networks.- A Network-based Approach for Inferring Thresholds in Co-expression Networks.- Building Differential Co-expression Networks with Variable Selection and Regularization.- Inferring probabilistic Boolean networks from steady-state gene data samples.- Quantifying High-Order Interactions in Complex Physiological Networks: a frequency-specific approach.- A Novel Reverse Engineering Approach for Gene Regulatory Networks.- Using the Duplication-Divergence Network Model to Predict Protein-Protein Interactions.- Part IV: Machine Learning and Networks.- SignedS2V: structural embedding method for signed networks.- HM-LDM: A Hybrid-Membership Latent Distance Model.- The Structure of Interdisciplinary Science: Uncovering and Explaining Roles in Citation Graphs.- Inferring Parsimonious Coupling Statistics in Nonlinear Dynamics with Variational Gaussian Processes.- Detection of Sparsity in Multidimensional Data Using Network Degree Distribution and Improved Supervised Learning with Correction of Data Weighting.- Network Structure vs Chemical Information in Drug-Drug Interaction Prediction.- Geometric Deep Learning graph pruning to speed-up the run-time of Maximum Clique Enumerarion algorithms.- Graph Mining and Machine Learning for Shader Codes Analysis to Accelerate GPU Tuning.- Part V: Networks in Finance and Economics.- Pattern Analysis of Money Flows in the Bitcoin Blockchain.- On the Empirical Association between Trade Network Complexity and Global Gross Domestic Product.- Measuring the Stability of Technical Cooperation Network Based on the Nested Structure Theory.- Dynamic transition graph for estimating the predictability of financial and economical processes.- A network analysis of world trade structural changes (1996-2019).- Green Sector Space: The evolution and capabilities spillover of economic green sectors in the United States.- Statistical inference of lead-lag between asynchronous time series from p-values of transfer entropy at various timescales.- Part VI: Networks and Mobility.- Extracting Metro Passenger Flow Predictors from Network’s Complex Characteristics.- Estimating Peak-Hour Urban Traffic Congestion.- Adaptive Routing Potential in Road Networks.- Part VII: Diffusion and Epidemics.- Detecting Global Community Structure in a COVID-19 Activity Correlation Network.- Overcoming vaccine hesitancy by multiplex social network targeting.- Analyzing Community-aware Centrality Measures Using The Independent Cascade Model.- Paths for emergence of superspreaders in dengue fever spreading network.- Part VIII: Multilayer Networks.- Structural Cores and Problems of Vulnerability of Partially Overlapped Multilayer Networks.- Multilayer Block Models for Exploratory Analysis of Computer Event Logs.- On the Effectiveness of Using Link Weights and Link Direction for Community Detection in Multilayer Networks.

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Book SynopsisThis textbook provides a mathematical introduction to linear systems, with a focus on the continuous-time models that arise in engineering applications such as electrical circuits and signal processing. The book introduces linear systems via block diagrams and the theory of the Laplace transform, using basic complex analysis.The book mainly covers linear systems with finite-dimensional state spaces. Graphical methods such as Nyquist plots and Bode plots are presented alongside computational tools such as MATLAB. Multiple-input multiple-output (MIMO) systems, which arise in modern telecommunication devices, are discussed in detail. The book also introduces orthogonal polynomials with important examples in signal processing and wireless communication, such as Telatar’s model for multiple antenna transmission. One of the later chapters introduces infinite-dimensional Hilbert space as a state space, with the canonical model of a linear system. The final chapter covers modern applications to signal processing, Whittaker’s sampling theorem for band-limited functions, and Shannon’s wavelet.Based on courses given for many years to upper undergraduate mathematics students, the book provides a systematic, mathematical account of linear systems theory, and as such will also be useful for students and researchers in engineering. The prerequisites are basic linear algebra and complex analysis.Table of Contents- 1. Linear Systems and Their Description. - 2. Solving Linear Systems by Matrix Theory. - 3. Eigenvalues and Block Decompositions of Matrices. - 4. Laplace Transforms. - 5. Transfer Functions, Frequency Response, Realization and Stability. - 6. Algebraic Characterizations of Stability. - 7. Stability and Transfer Functions via Linear Algebra. - 8. Discrete Time Systems. - 9. Random Linear Systems and Green’s Functions. - 10. Hilbert Spaces. - 11. Wireless Transmission and Wavelets. - 12. Solutions to Selected Exercises.

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Book SynopsisThis book presents a novel design framework for the development of Digital Twin (DT) models for process- and motion-control applications. It is based on system-data acquisition using cutting-edge computing technologies, modelling of physical-system behavior through detailed simultaneous simulation of different aspects of the system, and optimal dynamic behavior-matching of the process. The design framework is enhanced with real-time data analytics to improve the performance of the DT’s behavior-matching with the real system or physical twin.The methods of creating a DT detailed in Digital-Twin-Enabled Smart Control Engineering make possible the study of a system for real-time controller tuning and fault detection. They also facilitate life-cycle analysis for multiple critical and dangerous conditions that cannot be explored in the corresponding real system or physical twin. The authors show how a DT can be exploited to enable self-optimizing capabilities in feedback control systems.The DT framework and the control-performance assessment, fault diagnosis and prognosis, remaining-useful-life analysis, and self-optimizing control abilities it allows are validated with both process- and motion-control systems and their DTs. Supporting MATLAB-based material for a case study and an expanded introduction to the basic elements of DTs can be accessed on an associated website. This book helps university researchers from many areas of engineering to develop new tools for control design and reliability and life-cycle assessment and helps practicing engineers working with robotic, manufacturing and processing, and mechatronic systems to maintain and develop the mechanical tools they use.Table of ContentsDigital Twin Background.- A Digital Twin Development Framework.- Digital Twin Enabling Capabilities.- Smart Control Engineering Enabled by Digital Twin.- Summary and Future Research Opportunities.

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Book SynopsisWhile GPS is the de-facto solution for outdoor positioning with a clear sky view, there is no prevailing technology for GPS-deprived areas, including dense city centers, urban canyons, buildings and other covered structures, and subterranean facilities such as underground mines, where GPS signals are severely attenuated or totally blocked. As an alternative to GPS for the outdoors, indoor localization using machine learning is an emerging embedded and Internet of Things (IoT) application domain that is poised to reinvent the way we navigate in various indoor environments. This book discusses advances in the applications of machine learning that enable the localization and navigation of humans, robots, and vehicles in GPS-deficient environments. The book explores key challenges in the domain, such as mobile device resource limitations, device heterogeneity, environmental uncertainties, wireless signal variations, and security vulnerabilities. Countering these challenges can improve thea

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Book SynopsisThis book constitutes the refereed proceedings of the 26th European Conference on Genetic Programming, EuroGP 2023, held as part of EvoStar 2023, in Brno, Czech Republic, during April 12–14, 2023, and co-located with the EvoStar events, EvoCOP, EvoMUSART, and EvoApplications. The 14 revised full papers and 8 short papers presented in this book were carefully reviewed and selected from 38 submissions. The wide range of topics in this volume reflects the current state of research in the field. The collection of papers cover topics including developing new variants of GP algorithms for both optimization and machine learning problems as well as exploring GP to address complex real-world problems.

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Book SynopsisThis book extends the theory and applications of random evolutions to semi-Markov random media in discrete time, essentially focusing on semi-Markov chains as switching or driving processes. After giving the definitions of discrete-time semi-Markov chains and random evolutions, it presents the asymptotic theory in a functional setting, including weak convergence results in the series scheme, and their extensions in some additional directions, including reduced random media, controlled processes, and optimal stopping. Finally, applications of discrete-time semi-Markov random evolutions in epidemiology and financial mathematics are discussed. This book will be of interest to researchers and graduate students in applied mathematics and statistics, and other disciplines, including engineering, epidemiology, finance and economics, who are concerned with stochastic models of systems.Table of Contents- 1. Discrete-Time Stochastic Calculus in Banach Space. - 2. Discrete-Time Semi-Markov Chains. - 3. Discrete-Time Semi-Markov Random Evolutions. - 4. Weak Convergence of DTSMRE in Series Scheme. - 5. DTSMRE in Reduced Random Media. - 6. Controlled Discrete-Time Semi-Markov Random Evolutions. - 7. Epidemic Models in Random Media. - 8. Optimal Stopping of Geometric Markov Renewal Chains and Pricing.

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Book SynopsisThis text provides a detailed and self-contained introduction to the core topics of optimal control for finite-dimensional deterministic dynamical systems. Skillfully designed to guide the student through the development of the subject, the book provides a rich collection of examples, exercises, illustrations, and applications, to support comprehension of the material. Solutions to odd-numbered exercises are included, while a complete set of solutions is available to instructors who adopt the text for their class. The book is adaptable to coursework for final year undergraduates in (applied) mathematics or beginning graduate students in engineering. Required mathematical background includes calculus, linear algebra, a basic knowledge of differential equations, as well as a rudimentary acquaintance with control systems. The book has developed out of lecture notes that were tested, adapted, and expanded over many years of teaching. Chapters 1-4 constitute the material for a basic course on optimal control, covering successively the calculus of variations, minimum principle, dynamic programming, and linear quadratic control. The additional Chapter 5 provides brief views to a number of selected topics related to optimal control, which are meant to peak the reader’s interest. Some mathematical background is summarized in Appendix A for easy review. Appendix B recalls some of the basics of differential equations and also provides a detailed treatment of Lyapunov stability theory including LaSalle’s invariance principle, as occasionally used in Chapters 3 and 4.Table of Contents1. Calculus of Variations.- 2. Minimum Principle.- 3. Dynamic Programming.- 4. Linear Quadratic Control.- 5. Glimpses of Related Topics.- A. Background Material.- B. Differential Equations and Lyapunov Functions.- Solutions to Odd Numbered Exercises.- Bibliography.- Index.

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Book SynopsisThis book considers a class of ergodic finite controllable Markov's chains. The main idea behind the method, described in this book, is to develop the original discrete optimization problems (or game models) in the space of randomized formulations, where the variables stand in for the distributions (mixed strategies or preferences) of the original discrete (pure) strategies in the use. The following suppositions are made: a finite state space, a limited action space, continuity of the probabilities and rewards associated with the actions, and a necessity for accessibility. These hypotheses lead to the existence of an optimal policy. The best course of action is always stationary. It is either simple (i.e., nonrandomized stationary) or composed of two nonrandomized policies, which is equivalent to randomly selecting one of two simple policies throughout each epoch by tossing a biased coin. As a bonus, the optimization procedure just has to repeatedly solve the time-average dynamic programming equation, making it theoretically feasible to choose the optimum course of action under the global restriction. In the ergodic cases the state distributions, generated by the corresponding transition equations, exponentially quickly converge to their stationary (final) values. This makes it possible to employ all widely used optimization methods (such as Gradient-like procedures, Extra-proximal method, Lagrange's multipliers, Tikhonov's regularization), including the related numerical techniques. In the book we tackle different problems and theoretical Markov models like controllable and ergodic Markov chains, multi-objective Pareto front solutions, partially observable Markov chains, continuous-time Markov chains, Nash equilibrium and Stackelberg equilibrium, Lyapunov-like function in Markov chains, Best-reply strategy, Bayesian incentive-compatible mechanisms, Bayesian Partially Observable Markov Games, bargaining solutions for Nash and Kalai-Smorodinsky formulations, multi-traffic signal-control synchronization problem, Rubinstein's non-cooperative bargaining solutions, the transfer pricing problem as bargaining.Table of ContentsControllable Markov Chains.- Multiobjective Control.- Partially Observable Markov Chains.- Continuous-Time Markov Chains.- Nash and Stackelberg Equilibrium.- Best-Reply Strategies in Repeated Games.- Mechanism design.- Joint Observer and Mechanism Design.- Bargaining Games or How to Negotiate.- Multi-Traffic Signal-Control Synchronization.- Non-cooperative bargaining with unsophisticated agents.- Transfer Pricing as Bargaining.- Index.

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Book SynopsisThisvolume aims to present the latest advancements in experimental, analytical, and numerical methodologies aimed at exploring the nonlinear dynamics of diverse systems across varying length and time scales. It delves into the following topics:Methodologies for nonlinear dynamic analysis (harmonic balance, asymptotic techniques, enhanced time integration)Data-driven dynamics, machine learning techniquesExploration of bifurcations and nonsmooth systemsNonlinear phenomena in mechanical systems and structuresExperimental dynamics, system identification, and monitoring techniquesFluid-structure interactionDynamics of multibody systemsTurning processes, rotating systems, and systems with time delays

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Book SynopsisPart I Public Health: Agent-based Modelling and Public Health: An Introduction to the Proceedings of the 2023 Social Simulation Conference.- Estimating Population Burden of Stroke with an Agent-Based Model.- Crowd Health Encoding, for Crowd Simulations Using the Smoothed Particle Hydrodynamics Computational Method.- Reculer Pour Mieux Sauter: Resurrecting an ABM of Household Budgeting and Applying It to Deteriorating Economic Conditions.- Growing populations from the `bottom-up': an ABM approach to the generation of synthetic populations.- Whole-system pandemic modelling including pathogen evolution.- ABM for simulating the access to elective surgery services: the issue of patient mobility in Italy.- Simple Heuristics as Mental Model for Staple Food Choice: An ABM Exercise.- Part II Policy Modelling: Policy comparisons and causality in an agent-based model.- Simulations as a Dialogue Tool: Strengthening Community Engagement and Local Democratic Processes.- Gamification and Simulatio

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Book SynopsisRelativistic Superjet, Tetraneutrons and Higgs Boson in the Quark-Gluon Model.- Split Dislocations in a Fractal Coupled Structure.- A New Price of the Arithmetic Asian Option:A Simple Formula.- Study on Analog and Discrete Chaos Oscillators Synchronization.- Investigating Environmental Temperature Effect on Gene Transcription Phenomena:Chaos Approach.- Rotor-stator contact in a hydropower machine with squeeze-film damper.- One-directional grid scroll hidden attractor on the plane.- Fundamental Frequency Impact on Vilnius Chaos Oscillator Dynamics.- Evaluation of critical dimension composite operators for the stochastic model A.- Analysis and Control of Chaos in Simple 3D Autonomous System with Exponential Nonlinearity.- Principal component analysis on granularity and instability of economic systems in emerging countries.- Codification of images based on deterministic Brownian motion.- Synthesis of multifractals by Brownian dynamics of a point in a field of N central forces.- A Higher-Order Septic Nonlinear Model for Transverse waves in a Generalized Elastic Medium.- Renormalization group study of two-species reaction-diffusion system: Influence of random velocity fluctuations.- Helical Magnetohydrodynamic Turbulence Progress in Two-Loop Approximation.- Dynamics of an electronic relay systems with bandpass ?ltered feedback.- Thermodynamics of Dissipative Solitons.- Possible Chaotic Behavior in Models Inspired by Field Theories.- Generalized Normal Forms in Dynamical Systems Near Equilibrium.- Chemical Analogs of Voronoi Diagrams.- 3-D Discrete Vortex and Convection for the Lorenz System.- 3-D Discrete Eddy and Convection for the Turing Model.- Complex dynamics generated by simultaneous route and departure time choice in transportation networks.- Distributions of the re?ection amplitude for networks with unitary and symplectic symmetries in the case of large absorption.- Modulational Instability, Vector Solitons and Extreme Amplitude Envelopes in Asymmetric Coupled Nonlinear Schrodinger Equations.- A New Method for Improving Pseudorandomness of Pseudorandom Sequences with Applications.- Entropy-Based Approaches of Edge Significance Quantification in Complex Networks: Detection of Link Vulnerabilities Using Static, Dynamic and Group-Focused Methods.- On the Efficiency and Accuracy of the FORM Algorithm Applied to Nonlinear Models for Geotechnical Design.- Metamodelling with the Multi-Dimensional Hermite Polynomial Chaos Expansion.- Exploring the Chaotic Dynamics of Cocirculating Disease Strains:Toward Agent-Based Modeling.- Dynamics of a Hydropower Rotor supported by an Elastic Generator-Bearing Bracket.- Chaos in hydrodynamic system with delay.- Defining ontologies within the FDB model.- Investigation the effect of moment on processes near the surface of a crystalline body based on a micromodel.- Anomalous scaling under the influence of helicity and finite-time correlations in the Kazantsev-Kraichnan model of fully developed kinematic magnetohydrodynamic turbulence.- SIR and SIS Epidemic Dynamics in Random Contact Networks.- Effects of nonlinear magnetic forces on the dynamics of hydropower generators with floating rotor rim.- Core expansion and spiral breakup in oscillatory recovering media.- Optimization of the Management of the Quality of Living Environment using the Chaotic Approach.- Dynamics of a Cournot Game with Differentiated Goods and Asymmetric Information.- Attractor Coexistence, Butterfly Effects, and Chaos (ABC):A Review of Lorenz and Generalized Lorenz Models.- Invariant Boltzmann Statistical Mechanics and the Physical Foundations of Quantum Mechanics, Quantum Gravity, and Quantum Cosmology.- Weak Chaos in the Plasma of a Fusion Device.- Chaos in the f0 SFS Josephson junction.- A Fisher Information Perspective of Relativistic Quantum Mechanics.- Temporal Divergence of C. elegans Locomotion.- Predicting high frequency prices: new evidence from the E-mini S&P 500 futures market.

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Book Synopsis- 1. Introduction.- 2. θ-Continued Fraction Expansions.- 3. N-Continued Fractions.- 4. Generalized Rényi Continued Fractions.- 5. Comparing the Efficiency of Different Continued Fraction Algorithms.

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Book SynopsisA Note on Additive Model Building for Spatial Functional Regression.- Quadratic Programming Problems with Preprocessing and a Diagonally Dominant M-matrix.- Beta Prime Kernel Availability Density Estimation of a Repairable Series System.- Imperfect maintenance of series systems.- Performance Evaluation of a Web services.- Modeling and analysis of Covid’19 patients hospitalization dynamic reliability by a semi-Markovian model.- Combinatorial optimization of banana clean reliance.- Adaptive Refined Descriptive Sampling Algorithm for Dependent.- variables using Iman and Conover method in Monte Carlo simulation.- Linear Control Design for Synchronization of Fractional Predator-Prey.- Systems with Group Defense and Harvesting.- Fractional dynamics of a Cholera model with Atangana-Baleanu operator.- Fractional-order dynamics of a Typhoid epidemic model.- A model of plasmid-bearing, plasmid-free competition in a chemostat.- On a slow-fast SEIRS Model structured in age.- Global asymptotic stability for a predator-prey model.- The operating diagram of an SIS model in the chemostat.- On a competition model of two toxin-producing species in the chemostat.

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Book SynopsisIntroduction.- Part I Traffic Data: Trajectroy and Floating-Car Data.- Cross-Sectional Data.- Representations of Cross-Sectional Data.- Spatiotemporal Reconstruction of the Traffic State.- Part II Traffic Flow Modeling: General Aspects.- Continuity Equation.- The Lighthill-Whitham-Richards Model.- Macroscopic Models with Dynamic Velocity.- Elementary Car-Following Models.- Car-Following Models based on Driving Strategies.- Modeling Human Aspects of Driving Behavior.- Cellular Automata.- Lane-Changing and other Discrete-Choice Situations.- Stability Analysis.- Calibration and Validation.- The Phase Diagram of Congested Traffic States.- Part III Applications of Traffic Flow Theory: Traffic Flow Breakdown and Traffic-State Recognition.- Travel Time Estimation.- Fuel Consumption and Emissions.- Model-Based Traffic-Flow Optimization.- Solutions to the Problems.- Index.

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Book SynopsisA review of a work by L. Raymond: Sturmian Hamiltonians with a large coupling constant - periodic approximations and gap labels.- Compactness of linearized Boltzmann operators for polyatomic gases.- Discrete Boltzmann Equation for Anyons.- Action potential dynamics on heterogenous neural networks: from kinetic to macroscopic equations.- A space-dependent Boltzmann-BGK model for gas mixtures and its hydrodynamic limits.- A delayed model for tumor-immune system interactions.- Geometric optimization problem for vascular stents.- Journey Through the World of Dynamical Systems on Networks.- A Payne-Whitham model of urban traffic networks in the presence of traffic lights and its application to traffic optimisation.- A Novel Use of Pseudospectra in Mathematical Biology: Understanding HPA Axis Sensitivity.- The virial theorem and the method of multipliers in spectral theory.- Well-posedness and long-term behaviour of buffered flows in infinite networks.- Numerical Study of the Higher-Order Maxwell-Stefan Model of Diffusion.- Fourth-order operators with unbounded coefficients in $L^1$ spaces.- Graph structure of the nodal set and bounds on the number of critical points of eigenfunctions on Riemannian manifolds.- Investigating dynamics and asymptotic trend to equilibrium in a reactive BGK model.- Polynomial Stability of a Coupled Wave-Heat Network.

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Book SynopsisPart I: Graphs and Networks with Matrix-Weights.- Matrix-Weighted Graphs.- Matrix-Weighted Laplacian.- Physical Interpretation and Motivational Examples.- Part II: Algorithms.- Connectivity.- Spanning Trees.- Quantitative Measures.- Part III: Control.- Matrix-Weighted Consensus.- Discrete-Time and Randomized Algorithms.- Accelerated Algorithms.-  Robustness .- Tracking.- Time-Delays.- Part IV: Applications.- Synchronization.- Scaling Matrices.- Networked InputOutput Analysis.- Bearing-Only Formation Control.

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Book SynopsisThis textbook presents a proven, mature Model-Based Systems Engineering (MBSE) methodology that has delivered success in a wide range of system and enterprise programs. The authors introduce MBSE as the state of the practice in the vital Systems Engineering discipline that manages complexity and integrates technologies and design approaches to achieve effective, affordable, and balanced system solutions to the needs of a customer organization and its personnel. The book begins with a summary of the background and nature of MBSE. It summarizes the theory behind Object-Oriented Design applied to complex system architectures. It then walks through the phases of the MBSE methodology, using system examples to illustrate key points. Subsequent chapters broaden the application of MBSE in Service-Oriented Architectures (SOA), real-time systems, cybersecurity, networked enterprises, system simulations, and prototyping. The vital subject of system and architecture governance completes the discussion. The book features exercises at the end of each chapter intended to help readers/students focus on key points, as well as extensive appendices that furnish additional detail in particular areas. The self-contained text is ideal for students in a range of courses in systems architecture and MBSE as well as for practitioners seeking a highly practical presentation of MBSE principles and techniques. Table of ContentsIntroduction - Framing the Problem.- Applying Object Orientation to System Architecture.- MBSAP Methodology Overview.- Analyzing Requirements in an Operational Viewpoint.- Designing in a Logical/Functional Viewpoint.- Implementing in a Physical Viewpoint.- Implementing Service-Oriented Architectures for Enterprise Integration.- Extending Architecture to Real-Time Domains.- Developing the Network Dimension.- Protecting Information with Cybersecurity.- Using Prototypes Verification, and Validation to Evaluate and Enhance System Architecture.- Using Reference Architectures and Frameworks.- Architecting the Enterprise.- Applying Advanced Concepts.- Implementing Governance to Measure and Maintain Architecture Quality.- Appendix A - Quick Reference to Object-Oriented Design (OOD) and the Unified Modeling Language (UML).- Appendix B - Quick Reference to the System Modeling Language (SysML), Profile of the Unified Modeling Language (UML).- Appendix C.- System Architecture Example: E-X Airborne Multisensor Platform.- Appendix D - Summary of the Modeling and Analysis of Real-Time and Embedded (MARTE) Systems Profile of UML.- Appendix E - Listing of Information Technology (IT) Core Standards and Sources.- Appendix F - Defense in Depth (DiD) Defintions.- Appendix G - Common Cyber Attack Methods.- Appendix H - IEEE Computer Society Center for Secure Design (SD) List of Top 10 Security Flaws.- Appendix I - Software Testing Methods and Tools.- Appendix J - Open System Interconnect (OSI) Layers and Protocols.- Appendix K - Service-Oriented Architecture (SOA) Policy Requirements for Department of Defense (DoD) Programs.

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Book SynopsisDieses Buch ist eine besonders geeignete Einführung zum Thema Chaos und Simulation dynamischer Systeme für Studenten der Ingenieur- und der Naturwissenschaften. Die Untersuchung von einfachen Modellen aus der Populationsdynamik dient als Vehikel, einen schnellen und zielgerichteten Einstieg zu erzielen. Das nötige mathematische und simulationstechnische Werkzeug wird nach Bedarf eingeführt und gut verständlich erklärt. Unterstützt wird die Darstellung durch Programme auf beiliegender Diskette, die die Zusammenhänge verdeutlichen und zum Experimentieren anregen.Table of ContentsPopulationsdynamik - Räuber-Beute-Systeme - Simulation nichtlinearer Differentialgleichungen - Prozeßorientierte Simulation - Stabilität - Bifurkation - seltsame Attraktoren - Chaos - dissipative Systeme - fraktale Ddimension - Lorenzmodelle - Dynamik der Krankheitsepidemien

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Book SynopsisSliding mode control is a simple and yet robust control technique, where the system states are made to confine to a selected subset. With the increasing use of computers and discrete-time samplers in controller implementation in the recent past, discrete-time systems and computer based control have become important topics. This monograph presents an output feedback sliding mode control philosophy which can be applied to almost all controllable and observable systems, while at the same time being simple enough as not to tax the computer too much. It is shown that the solution can be found in the synergy of the multirate output sampling concept and the concept of discrete-time sliding mode control.Table of ContentsIntroduction.- Switching Function bases Multirate Output Feedback Sliding Mode Control.- Multirate Output Feedback based Discrete-time Sliding Mode in LTI systems with Uncertainty.- Multirate Output Feedback based Discrete-time Quasi-Sliding Mode Control of Time-Delay Systems.- Multirate Output Feedback Sliding Mode for Special Classes of Systems.- Discrete-time Terminal Sliding Mode: Concept.- Applications of Multirate Output Feedback Discrete-time Sliding Mode Control.

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Book SynopsisDieses Tutorial hilft nicht nur Ingenieuren und Naturwissenschaftlern beim schnellen Einstieg und der Vertiefung in die Programmierung mit C++. Kommentierte Aufgaben, lebensnahe Beispiele und eine kompakte sowie systematische Struktur zeichnen dieses Buch aus.Table of ContentsGrundlagen.- Erste Schritte und strukturiertes Programmieren.- Prozedurales Programmieren.- Funktionen.- Algorithmen.- Modulares Programmieren.- Objektorientiertes Programmieren.- Klassen - Grundlagen.- Klassen - Vererbung und Polymorphie.- Generisches Programmieren: Templates.- Ausnahmebehandlungen.

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Book SynopsisAngriffe aus den eigenen Reihen durch sogenannte Innentäter sind für Unternehmen nur schwer zu erkennen. Unter Innentätern versteht man Personen, die in Unternehmen oder Organisationen vorsätzlich dolose Handlungen vornehmen. Ihnen fällt es aufgrund ihres Wissens über Interna leichter, etablierte Schutzmaßnahmen zu überwinden. Unternehmensinhaber trifft im Rahmen des mehrdeutigen Begriffs unternehmerischer Compliance auch eine Pflicht, in ihrem Betrieb für regelgetreues Verhalten der Beschäftigten zu sorgen. Es besteht insofern ein Spannungsverhältnis zwischen dem Recht auf informationelle Selbstbestimmung des Beschäftigten, welches durch das Datenschutzrecht geschützt wird, und der Pflicht des Arbeitgebers, in seinem Unternehmen für rechtskonformes Verhalten zu sorgen. Gegenstand des Buchs ist daher die Frage, welche Konsequenzen die Datenschutz-Grundverordnung sowie die Gesetzgebung auf nationalstaatlicher Ebene für den Beschäftigtendatenschutz im Allgemeinen sowie für die Umsetzung der neuen Anforderungen bei unternehmensinternen Compliance-Maßnahmen hat.Table of ContentsEinführung.- Bedeutung von compliance im unternehmen.- Screenings auf basis der anomalieerkennung.- Rechtlicher rahmen für maßnahmen der mitarbeiterüberwachung im rahmen unternehmerischer compliance auf ebene der grundrechte sowie der emrk.- Regelung des beschäftigtendatenschutzes nach der dsgvo.- Allgemeine anforderungen der dsgvo und des bdsg an anomaliebasierte screenings von mitarbeitern.- Beweisverwertung vor den arbeitsgerichten.- Mitbestimmung des betriebsrats.- Fazit

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Book SynopsisThis text presents the mathematical concepts of Grassmann variables and the method of supersymmetry to a broad audience of physicists interested in applying these tools to disordered and critical systems, as well as related topics in statistical physics. Based on many courses and seminars held by the author, one of the pioneers in this field, the reader is given a systematic and tutorial introduction to the subject matter. The algebra and analysis of Grassmann variables is presented in part I. The mathematics of these variables is applied to a random matrix model, path integrals for fermions, dimer models and the Ising model in two dimensions. Supermathematics - the use of commuting and anticommuting variables on an equal footing - is the subject of part II. The properties of supervectors and supermatrices, which contain both commuting and Grassmann components, are treated in great detail, including the derivation of integral theorems. In part III, supersymmetric physical models are considered. While supersymmetry was first introduced in elementary particle physics as exact symmetry between bosons and fermions, the formal introduction of anticommuting spacetime components, can be extended to problems of statistical physics, and, since it connects states with equal energies, has also found its way into quantum mechanics. Several models are considered in the applications, after which the representation of the random matrix model by the nonlinear sigma-model, the determination of the density of states and the level correlation are derived. Eventually, the mobility edge behavior is discussed and a short account of the ten symmetry classes of disorder, two-dimensional disordered models, and superbosonization is given.Trade Review“This volume of Lecture Notes in Physics presents in three parts the topics of Grassmann algebra and its applications and the subject of supermathematics, where commuting and anticommuting variables are treated on equal footing, and its applications. … it may be of interest to those already in the field who want to expand their knowledge in both the underlying mathematics and its applications in physics.” (Moorad Alexanian, Mathematical Reviews, January, 2017)“Each chapter contains a set of illustrating problems supplied with answers in the book's end. Thus, this monograph can be used for practical teaching as well.” (Eugene Postnikov, zbMATH 1345.81003, 2016)Table of ContentsPart I Grassmann Variables and Applications.- Part II Supermathematics.- Part III Supersymmetry in Statistical Physics.- Summary and Additional Remarks.- References.- Solutions.- Index.

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Book SynopsisThis book explores a different pragmatic approach to algorithmic complexity rooted or motivated by the theoretical foundations of algorithmic probability and explores the relaxation of necessary and sufficient conditions in the pursuit of numerical applicability, with some of these approaches entailing greater risks than others in exchange for greater relevance and applicability. Some established and also novel techniques in the field of applications of algorithmic (Kolmogorov) complexity currently coexist for the first time, ranging from the dominant ones based upon popular statistical lossless compression algorithms (such as LZW) to newer approaches that advance, complement, and also pose their own limitations. Evidence suggesting that these different methods complement each other for different regimes is presented, and despite their many challenges, some of these methods are better grounded in or motivated by the principles of algorithmic information. The authors propose that the field can make greater contributions to science, causation, scientific discovery, networks, and cognition, to mention a few among many fields, instead of remaining either as a technical curiosity of mathematical interest only or as a statistical tool when collapsed into an application of popular lossless compression algorithms. This book goes, thus, beyond popular statistical lossless compression and introduces a different methodological approach to dealing with algorithmic complexity. For example, graph theory and network science are classic subjects in mathematics widely investigated in the twentieth century, transforming research in many fields of science from economy to medicine. However, it has become increasingly clear that the challenge of analyzing these networks cannot be addressed by tools relying solely on statistical methods. Therefore, model-driven approaches are needed. Recent advances in network science suggest that algorithmic information theory could play an increasingly important role in breaking those limits imposed by traditional statistical analysis (entropy or statistical compression) in modeling evolving complex networks or interacting networks. Further progress on this front calls for new techniques for an improved mechanistic understanding of complex systems, thereby calling out for increased interaction between systems science, network theory, and algorithmic information theory, to which this book contributes. Trade Review“The book starts practically from scratch: It defines Turing machines, Kolmogorov complexity, etc. So this book can be recommended not only to researchers in this area, but also to students and to researchers from other areas interested in complexity issues.” (Vladik Ya. Kreinovich, zbMATH 1497.68008, 2022)Table of Contents​Preliminaries.- Enumerating and simulating Turing machines.- The Coding Theorem Method.- Theoretical aspects of finite approximations to Levin’s semi-measure.

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Book SynopsisDas Lehrbuch richtet sich vor allem an Studierende technischer Studiengänge an Hochschulen, Fachhochschulen und Berufsakademien. Die komplexen Konzepte und Zusammenhänge der Signal- und Systemtheorie werden in anschaulichen, nachvollziehbaren Schritten dargestellt. Den Kern bilden dabei die Grundlagen zur mathematischen Beschreibung im Zeit- und Frequenzbereich linearer, zeitinvarianter Systeme. Durch den Verzicht auf unnötige mathematische Beweisführungen und Herleitungen werden die Inhalte kurz und prägnant erläutert. Übungsaufgaben mit Lösungen erleichtern Selbststudium und Prüfungsvorbereitung.Table of ContentsEinführung in Signale und Systeme – Zeitkontinuierliche Signale – Laplace-Transformation – Fourier-Transformation – Frequenzgang

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Book SynopsisThis thesis deals with specific features of the theory of holomorphic dynamics in dimension 2 and then sets out to study analogous questions in higher dimensions, e.g. dealing with normal forms for rigid germs, and examples of Kato 3-folds.The local dynamics of holomorphic maps around critical points is still not completely understood, in dimension 2 or higher, due to the richness of the geometry of the critical set for all iterates.In dimension 2, the study of the dynamics induced on a suitable functional space (the valuative tree) allows a classification of such maps up to birational conjugacy, reducing the problem to the special class of rigid germs, where the geometry of the critical set is simple. In some cases, from such dynamical data one can construct special compact complex surfaces, called Kato surfaces, related to some conjectures in complex geometry.Table of ContentsIntroduction.-1.Background.- 2.Dynamics in 2D.- 3.Rigid germs in higher dimension.- 4 Construction of non-Kahler 3-folds.- References.- Index.

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Book SynopsisBattery Management Systems - Design by Modelling describes the design of Battery Management Systems (BMS) with the aid of simulation methods. The basic tasks of BMS are to ensure optimum use of the energy stored in the battery (pack) that powers a portable device and to prevent damage inflicted on the battery (pack). This becomes increasingly important due to the larger power consumption associated with added features to portable devices on the one hand and the demand for longer run times on the other hand. In addition to explaining the general principles of BMS tasks such as charging algorithms and State-of-Charge (SoC) indication methods, the book also covers real-life examples of BMS functionality of practical portable devices such as shavers and cellular phones. Simulations offer the advantage over measurements that less time is needed to gain knowledge of a battery's behaviour in interaction with other parts in a portable device under a wide variety of conditions. This knowledge can be used to improve the design of a BMS, even before a prototype of the portable device has been built. The battery is the central part of a BMS and good simulation models that can be used to improve the BMS design were previously unavailable. Therefore, a large part of the book is devoted to the construction of simulation models for rechargeable batteries. With the aid of several illustrations it is shown that design improvements can indeed be realized with the presented battery models. Examples include an improved charging algorithm that was elaborated in simulations and verified in practice and a new SoC indication system that was developed showing promising results. The contents of Battery Management Systems - Design by Modelling is based on years of research performed at the Philips Research Laboratories. The combination of basic and detailed descriptions of battery behaviour both in chemical and electrical terms makes this book truly multidisciplinary. It can therefore be read both by people with an (electro)chemical and an electrical engineering background. Table of ContentsList of abbreviations. List of symbols. Series preface. Preface. 1. Introduction. 2. Battery Management Systems. 3. Basic information on batteries. 4. Battery modelling. 5. Battery charging algorithms. 6. Battery State-of-Charge indication. 7. Optimum supply strategies for Power Amplifiers in cellular phones. 8. General conclusions. About the authors. Index.

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Book SynopsisThe aim of this monograph is to present a general method of proving continuity of Lyapunov exponents of linear cocycles. The method uses an inductive procedure based on a general, geometric version of the Avalanche Principle. The main assumption required by this method is the availability of appropriate large deviation type estimates for quantities related to the iterates of the base and fiber dynamics associated with the linear cocycle. We establish such estimates for various models of random and quasi-periodic cocycles. Our method has its origins in a paper of M. Goldstein and W. Schlag. Our present work expands upon their approach in both depth and breadth. We conclude this monograph with a list of related open problems, some of which may be treated using a similar approach.Trade Review“The effort of the authors to make this text self-contained and to make the exposition very clear and delightful was successful, making this monograph an excellent contribution for both graduate student and anyone interested in the continuity of Lyapunov Exponents.” (Paulo Varandas, Mathematical Reviews, June, 2018)Table of ContentsIntroduction.- Estimates on Grassmann Manifolds.- Abstract Continuity of Lyapunov Exponents.- The Oseledets Filtration and Decomposition.- Large Deviations for Random Cocycles.- Large Deviations for Quasi-Periodic Cocycles.- Further Related Problems.

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Book SynopsisSensor networks are an essential component of the Internet of Things (IoT), and Multimedia Sensor Networks (MSNs) are the most important emerging area in sensor networks. However, multimedia sensing is characterized by diversified modes, large volumes of data, considerable heterogeneity, and complex computing, as a result of which the theory and methods for traditional sensor networks can’t be applied to MSNs. Based on the authors’ years of systematic research on related theory and methods, this book provides a comprehensive review of MSNs. The coverage ranges from networked sensing and fusion-based transmission, to route discovery and in-network computing. The book presents the most important scientific discoveries and fundamental theories on MSNs, while also exploring practical approaches and typical applications. Given its scope, it is especially suitable for students, researchers and practitioners interested in understanding scientific problems involved in characterizing multimedia sensing features, revealing the transmission mechanisms of MSNs, and constructing efficient in-network multimedia computing paradigms. In this book, readers will learn essential methods for achieving the optimal deployment of, efficient and reliable transmission, and timely information processing in MSNs.Table of Contents

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Book SynopsisThis book collects select papers presented at the International Workshop and Conference on Topology & Applications, held in Kochi, India, from 9–11 December 2018. The book discusses topics on topological dynamical systems and topological data analysis. Topics are ranging from general topology, algebraic topology, differential topology, fuzzy topology, topological dynamical systems, topological groups, linear dynamics, dynamics of operator network topology, iterated function systems and applications of topology. All contributing authors are eminent academicians, scientists, researchers and scholars in their respective fields, hailing from around the world. The book is a valuable resource for researchers, scientists and engineers from both academia and industry.Table of ContentsH. Bruin, An Overview of Unimodal Inverse Limit Spaces.- B. Barany, M. Rams, K. Simon, Dimension Theory of Some Non Markovian Rapellers Part I: A General Introduction.- B. Barany, M. Rams, K. Simon, Dimension Theory of Some Non Markovian Repellers: Part II: Dynamically Defined Function Graphs.- K. Lesniak, Iterated Function Systems – A Topological Approach Attractors.- H. Kato, Zero Dimensional Covers of Dynamical Systems.- H. Kato, Chaotic Continua in Chaotic Dynamical Systems.- R. L. Devaney, S. M. Marotta, Mandelpinski Necklaces in the Parameter Planes of Rational Maps.- Kit C Chan, Some Examples of Hypercyclic Operators and Universal Sequences of Operators.- Kit C Chan, Some Basic Properties of Hypercyclic Operators.- Kit C Chan, The Testing Ground of Weighted Shift Operators for Hypercyclicity.- D. Drozdov, M. Samuel, A. Tetenov, On -deformations of Polygonal Dendrites.- A. Tetenov, K. Kamalutdinov, V. Aseev, General Position Theorems and its Applications.- A. Raj P, V. Kumar P B, The nth iterate of a map with dense orbit.- Aswathy R K, S. Mathew, Finite Products of Irregular Iterated Function Systems and Their Separation Properties.- A. Akbar, Mubeena T, Periodic Points of N-dimensional Toral Automorphisms.- S. Jose, V. Kumar P B, Julia Sets in Topological Spaces.- K U Sreeja, V. Kumar P B, Ramkumar P B, Julia, Sets of Some Graphs Using Independence Polynomials.- P. Frosini, An Introduction to the Notion of Natural Pseudo Distance in Topological Data Analysis.- A. Cerri, P. Frosini, A Brief Introduction to Multidimensional Persistent Betti Numbers.- N. Quercioli, Some New Methods to Build Group Equivariant Non Expansive Operators in TDA.- Y. Dabaghian, Topological Stability of the Hippocampal Spatial Map and Synaptic Transience.- A. Jacob, Ramkumar P B, Intuitionistic Fuzzy Graph Morphological Topology.- A. G. Pillai, Ramkumar P B, Some Properties of the Bitopological Space Associated with the 3-Uniform Semigraph of Cycle graph.- D. Chandran R, Ramkumar P B, Hypergraph Topology.

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Book SynopsisThis book features original papers from the 3rd International Conference on Smart IoT Systems: Innovations and Computing (SSIC 2021), presenting scientific work related to smart solution concepts. It discusses scientific works related to smart solutions concept in the context of computational collective intelligence consisted of interaction between smart devices for smart environments and interactions. Thanks to the high-quality content and the broad range of the topics covered, the book appeals to researchers pursuing advanced studies.Table of ContentsArchitecture Level Fault Tolerance Modeling for SOA based Systems.- Intelligent Infrastructure and Transportation: A case of Passenger Transportation system in Jaipur city of Rajasthan.- Translation of American Sign Language to text: Using YOLOv3 with Background Subtraction and Edge Detection.- Economic Analysis of Energy Efficient Transportation in India with Special Reference to the Passenger Movement.- Digital Watermarking Techniques and their Analysis.- Smart City Solution: Enhancing Capacity Utilization of Mass Rapid Transit System (MRTS) for Economic Viability with Special Reference to Jaipur Metro Rail Network

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Book SynopsisThis book highlights the practical aspects of computer modelling and simulation of complex dynamical systems for students. Mechanical systems are considered in the book as representative examples of dynamical systems. Wolfram SystemModeler, in combination with Learning Management System Sakai, is used as an instrument for studying features of various physical and technical phenomena and processes. Each of the presented virtual labs may be considered a stand-alone mini project to enable students to go through all the steps of mathematical modelling and computer simulation—from the problem statement to mathematical and physical analysis of the obtained result. The book is useful for teachers to organize the educational process, allowing gradual monitoring of the learning process and assessment of students’ competencies. It also allows tutors to design individual educational trajectories for students to achieve educational properties. The subject of the book is an extension of activity started by the international team of authors within the InMotion project of the European programme ERASMUS+.Trade Review“The authors went to great effort to produce beautiful figures, with color no less, to aid the reader. The tables are laid out logically, and the discussion for each model is, for the most part straightforward. I wish I could recommend the book … .” (David S. Mazel, MAA Reviews, August 22, 2022)Table of Contents1. Virtual Labs (76 pages) 2 Guidelines for performing virtual labs in Wolfram SystemModeler (63 pages)

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Book SynopsisThis book comprises select proceedings of the 4th International Conference on Innovative Computing (IC 2021) focusing on cutting-edge research carried out in the areas of information technology, science, and engineering. Some of the themes covered in this book are cloud communications and networking, high performance computing, architecture for secure and interactive IoT, satellite communication, wearable network and system, infrastructure management, etc. The essays are written by leading international experts, making it a valuable resource for researchers and practicing engineers alike.Table of ContentsDetection of Region-of-Interest Based on Noise Filtering in High-Speed ImagesDetection of Error Images Based on Matching Edges with Strong ComponentsVisual Tracking Detection and Movement Identification by Using Eye-tracker for Esports PlayerConstruction and Research of E-sportsSpeech Emotion Recognition ModelDetect safety net on the construction site based on YOLO-v4Epidemic Data Visualization Analysis of the Covid-19 Development in ChinaUsing Natural Language Processing Technology to Predict Patient Reintubation with Traditional Chinese Nursing RecordsEmotion Recognition in Conversation Using Capsule Networks and Gated Recurrent UnitsEffects of an Augmented Reality-based Educational Game on Student’s Learning Performance and Motivation in Nature CourseICCN

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Book SynopsisThis book presents the papers included in the proceedings of the 2nd International Conference of Advanced Computing and Informatics (ICACIn’21) that was held in Casablanca, Morocco, on May 24–25, 2021. The main theme of the book is “Advances on Smart and Soft Computing.” A total of 71 papers were submitted to the conference, but only 44 papers were accepted and published in this book. The book presents several hot research topics which include artificial intelligence and data science, big data analytics, Internet of Things (IoT), information security, cloud computing, networking and computational informatics.Table of ContentsAdaptive Learning Content based on Learning Styles in Learning Management System.- A model-based approach for COVID-19 propagation.- Numerical modeling of the mechanical behavior of recycled flexible PVC loaded with different percentages of chicken feathers.- Covid-19 detection from Pneumonia image classification using Deep Learning.- Towards the Prediction of the Elasticity of Bio Loaded Poly propylene Using Artificial Neural Networks.- Post covid-19: Deep image processing AI to analyze social distancing in a human community

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Book SynopsisThis book presents high-quality research papers presented at the Second International Conference on Smart Computing and Cyber Security: Strategic Foresight, Security Challenges and Innovation (SMARTCYBER 2021) held during June 16–17, 2021, in the Department of Smart Computing, Kyungdong University, Global Campus, South Korea. The book includes selected works from academics and industrial experts in the field of computer science, information technology, and electronics and telecommunication. The content addresses challenges of cyber security.Table of Contents​A Novel Keyless LCD Based Method to Control the Latch.- A Novel Keyless LCD Based Method to Control the Latch.- Highly Uncertain and Dynamic Environment for Performing Varied Classes of Drone Classification.

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