Automatic control engineering Books

Book SynopsisEd Carryer is the Director of the Smart Product Design Laboratory (SPDL) in the Design Division of Mechanical Engineering at Stanford University. He is currently a Consulting Professor in the Design Division of Mechanical Engineering. He received his Ph.D. degree in Mechanical Engineering from Stanford University in 1992. Prior to that, he received an M.S. in Bio-Medical Engineering from the University of Wisconsin, Madison in 1978. His B.S.E. was awarded from the Illinois Institute of Technology in 1975, where he was a member (1/3) of the first graduating class of the Education and Experience in Engineering (E 3)program. Dr. Carryer's industrial experience varies wildly, from designing water treatment facilities for coal and nuclear power plants for Sargent & Lundy to designing the electronic controller for an Arctic Heated Glove under contract to NASA. He spent eight years in the Detroit area working in and about the auto industry. During that time he workTrade Review“Very comprehensive…Well written with good HW problems.” — Larry Banta, West Virginia University “What I love about this book is that it puts much of what we teach in one text allowing the students to study in more depth the details their projects require." — Daniel J. Block, University of Illinois “I expect this to become the gold standard for Mechatronics classes for years to come.” — David Fisher, Rose-Hulman “I was very impressed with the organization of the material and the level of knowledge the authors bring to each topic. I was also impressed with the concise and clear way topics are introduced and explained.” — David Fisher, Rose-Hulman “I think that’s great! My students get an introduction to Mechatronics then have a textbook to take with them after the course that they can continue to use and learn from.” — David Fisher, Rose-Hulman “The authors really know their stuff and offer good guidelines, rules of thumb, and advice on dealing with real electronics, actuators, and sensors. I also really enjoyed the project discussion and trying to put into words what needs to happen in a good design process!” — David Fisher, Rose-Hulman “The best features of the proposed text are its breadth and its detailed coverage of practical electronics.” — William R. Murray, California Polytechnic State University “The textbook is overflowing with information. There is traditional analysis, an extensive survey of current hardware (sensors, actuators, computer hardware), practical advice (do’s & don’t’s). There is a lot to assimilate with many useful chapters that contain pedagogical examples and a wealth of practical information.” — Mark Nagurka, Marquette University “The textbook is applied and not just a theoretical product. It reflects years of hardware experience from the authors.” — Mark Nagurka, Marquette University “This one volume includes many subjects that are part of the enterprise of mechatronics. The book has exceptionally strong coverage of microcontrollers.” — Mark Nagurka, Marquette University Table of ContentsPart 1: Introduction Preface Chapter 1 Introduction 1.1 Philosophy 1.3 Who Should Study Mechatronics? 1.3 How to Use this Book 1.4 Summary Part 2: Software Chapter 2 What’s a Micro? 2.1 Introduction 2.2 What IS a “Micro”? 2.3 Microprocessors, Microcontrollers, Digital Signal Processors (DSP’s) and More 2.4 Microcontroller Architecture 2.5 The Central Processing Unit (CPU) 2.5.1 Representing Numbers in the Digital Domain 2.5.2 The Arithmetic Logic Unit (ALU) 2.6 The Data Bus and the Address Bus 2.7 Memory 2.8 Subsystems and Peripherals 2.9 Von Neumann Architecture 2.10 The Harvard Architecture 2.11 Real World Examples 2.11.1 The Freescale MC9S12C32 Microcontroller 2.11.2 The Microchip PIC12F609 Microcontroller 2.12 Where to Find More Information 2.13 Homework Problems Chapter 3 Microcontroller Math and Number Manipulation 3.1 Introduction 3.2 Number Bases and Counting 3.3 Representing Negative Numbers 3.4 Data Types 3.5 Sizes of Common Data Types 3.6 Arithmetic on Fixed Size Variables 3.7 Modulo Arithmetic 3.8 Math Shortcuts 3.8 Boolean Algebra 3.9 Manipulating Individual Bits 3.10 Testing Individual Bits 3.11 Homework Problems Chapter 4: Programming Languages 4.1 Introduction 4.2 Machine Language 4.3 Assembly Language 4.4 High-Level Languages 4.5 Interpreters 4.6 Compilers 4.7 Hybrid Compiler/Interpreters 4.8 Integrated Development Environments (IDEs) 4.9 Choosing a Programming Language 4.10 Homework Problems Chapter 5: Program Structures for Embedded Systems 5.1 Background 5.2 Event Driven Programming 5.3 Event Checkers 5.4 Services 5.5 Building an Event Driven Program 5.6 An Example 5.7 Summary of Event Driven Programming 5.8 State Machines 5.9 A State Machine in Software 5.10 The Cockroach Example as a State Machine 5.11 Summary Homework Problems Chapter 6 Software Design 6.1 Introduction 6.2 Building as a Metaphor for Creating Software 6.3 Introducing Some Software Design Techniques 6.3.1 Decomposition 6.3.2 Abstraction and Information Hiding 6.3.3 Pseudo-Code 6.4 Software Design Process 6.4.1 Generating Requirements 6.4.2 Defining the Program Architecture 6.4.3 The Performance Specification 6.4.4 The Interface Specification 6.4.5 Detail Design 6.4.6 Implementation 6.4.6.1 Intra-Module Organization 6.4.6.2 Writing the Code 6.4.7 Unit Testing 6.4.8 Integration 6.5 The Sample Problem 6.5.1 Requirements for the Morse Code Receiver 6.5.2 The Morse Code Receiver System Architecture 6.5.3 The Morse Code Receiver Software Architecture 6.5.4 The Morse Code Receiver Performance Specifications 6.5.5 The Morse Code Receiver Interface Specification 6.5.5.1 The Button Module Interface Specification 6.5.5.2 The Morse Elements Module Interface Specification 6.5.5.3 The Morse Decode Module Interface Specification 6.5.5.4 The LCD Display Module Interface Specification 6.5.6 The Morse Code Receiver Detail Design 6.5.6.1 Button Module Detail Design 6.5.6.2 Morse Elements Detail Design 6.5.6.3 Morse Decode Detail Design 6.5.6.4 Display Detail Design 6.5.6.5 Main Detail Design 6.5.7 The Morse Code Receiver Implementation 6.5.8 The Morse Code Receiver Unit Testing. 6-28 6.5.9 The Morse Code Receiver Integration 6.6 Homework Problems Chapter 7 Communications 7.1: Introduction 7.2: Without a Medium, there is no Message 7.3: Bit-Parallel and Bit-Serial Communications 7.3.1: Bit-Serial Communications 7.3.1.1: Synchronous Serial Communications 7.3.1.2: Asynchronous Serial Communications 7.3.2: Bit Parallel Communications 7.4: Signaling Levels 7.4.1: TTL/CMOS Levels 7.4.2: RS-232 7.4.3: RS-485 7.5: Communicating Over Limited Bandwidth Channels 7.5.1: Telephones and Modems 7.5.1.1: Modulation Techniques 7.5.1.2: Amplitude Modulation (AM) 7.5.1.3: Frequency Modulation (FM) 7.5.1.4: Phase Modulation (PM) 7.5.1.5: Quadrature Amplitude Modulation (QAM) 7.6: Communicating with Light 7.7: Communicating over a Radio 7.7.1: RF Remote Controls 7.7.2: RF Data Links 7.7.3: RF Networks 7.8: Homework Problems Chapter 8 : Microcontroller Peripherals 8.1 : Accessing the Control Registers 8.2 : The Parallel Input/Output Subsystem 8.2.1 : The Data Direction Register 8.2.2 : The Input/Output Register(s) 8.2.3 : Shared Function Pins 8.3 : Timer Subsystems 8.3.1 : Timer Basics 8.3.2 : Timer Overflow 8.3.3 : Output Compare 8.3.4 : Input Capture 8.3.5 : Combining Input Capture and Output Compare to Control an Engine 8.4 : Pulse Width Modulation (PWM) 8.5 : PWM Using the Output Compare System 8.6 : The Analog-to-Digital (A/D) Converter Subsystem 8.6.1 : The Process for Converting an Analog Input to a Digital Value 8.6.2 : The A/D Converter Clock 8.6.3 : Multiplexer Switching Transients and DC Effects 8.6.4 : Automating the A/D Conversion Process 8.7 : Homework Problems Part 3: Electronics Chapter 9 Basic Circuit Analysis and Passive Components 9.1 Voltage, Current and Power 9.2 Circuits and Ground 9.3 Laying Down the Laws 9.4 Resistance 9.4.1 Resistors in Series and Parallel 9.4.2 The Voltage Divider 9.5 Thevenin Equivalents 9.6 Capacitors 9.6.1 Capacitors in Series and Parallel 9.6.2 Capacitors and Time-Varying Signals 9.7 Inductors 9.7.1 Inductors and Time-Varying Signals 9.8 The Time and Frequency Domains 9.9 Circuit Analysis with Multiple Component Types 9.9.1 Basic RC Circuit Configurations 9.9.2 Low-Pass RC Filter Behavior in the Time Domain 9.9.3 High-Pass RC Filter Behavior in the Time Domain 9.9.4 RL Circuit Behavior in the Time Domain 9.9.5 Low-Pass RC Filter Behavior in the Frequency Domain 9.9.6 High-Pass RC Filter Behavior in the Frequency Domain 9.9.7 High-Pass RC Filter with a DC Bias 9.10 Simulation Tools 9.10.1 Limitations of Simulation Tools 9.11 Real Voltage Sources 9.12 Real Measurements 9.12.1 Measuring Voltage 9.12.2 Measuring Current 9.13 Real Resistors 9.13.1 A Model for a Real Resistor 9.13.2 Resistor Construction Basics 9.13.3 Carbon Film Resistors 9.13.4 Metal Film Resistors 9.13.5 Power Dissipation in Resistors 9.13.6 Potentiometers 9.13.7 Multi-Resistor Packages 9.13.8 Choosing Resistors 9.14 Real Capacitors 9.14.1 A Model for a Real Capacitor 9.14.2 Capacitor Construction Basics 9.14.3 Polar vs. Non-Polar Capacitors 9.14.4 Ceramic Disk Capacitors 9.14.5 Monolithic Ceramic Capacitors 9.14.6 Aluminum Electrolytic Capacitors 9.14.7 Tantalum Capacitors 9.14.8 Film Capacitors 9.14.9 Electric Double Layer Capacitors / Super capacitors 9.14.10 Capacitor Labeling 9.14.10.1 Ceramic Capacitor (Disc and MLC) Labeling 9.14.10.2 Aluminum Electrolytic Capacitor Labeling 9.14.10.3 Tantalum Capacitor Labeling 9.14.10.4 Film Capacitor Labeling 9.14.11 Choosing a Capacitor 9.15 Homework Problems Chapter 10 Semiconductors 10.1 Doping, Holes and Electrons 10.2 Diodes 10.2.1 The VI Characteristic for Diodes 10.2.2 The Magnitude of Vf 10.2.3 Reverse Recovery 10.2.4 Schottky Diodes 10.2.5 Zener Diodes 10.2.6 Light Emitting Diodes 10.2.7 Photo-Diodes 10.3 Bipolar Junction Transistors 10.3.1 The Darlington Pair 10.3.2 The Photo-Transistor 10.4 MOSFETs 10.5 hoosing Between BJTs and MOSFETs 10.5.1 When Will a BJT be the Best (or Only) Choice? 10.5.2 When Will a MOSFET be the Best (or Only) Choice? 10.5.3 How Do You Choose When Either a MOSFET or a BJT Could Work? 10.6 Multi-Transistor Circuits 10.7 Reading Transistor Data Sheets 10.7.1 Reading a BJT Data Sheet 10.7.2 Reading a MOSFET Data Sheet 10.7.3 A Sample Application 10.7.4 A Potpourri of Transistor Circuits 10.8 Homework Problems Chapter 11 : Operational Amplifiers 11.1 : Operational Amplifier Behavior 11.2 : Negative Feedback 11.3 : The Ideal Op-Amp 11.4 : Analyzing Op-Amp Circuits 11.4.1 : The Golden Rules 11.4.2 : The Non-Inverting Op-Amp Configuration 11.4.3 : The Inverting Op-Amp Configuration 11.4.3.1 : The Virtual Ground 11.4.3.2 : There is Nothing Magic About Ground 11.4.4 : The Unity Gain Buffer 11.4.5 : The Difference Amplifier Configuration 11.4.6 : The Summer Configuration 11.4.7 : The Trans-Resistive Configuration 11.4.8 : Computation with Op-Amps 11.5 : The Comparator 11.5.1 : Comparator Circuits 11.6 : Homework Problems Chapter 12 : Real Operational Amplifiers and Comparators 12.1 : Real Op-Amp Characteristics — How the Ideal Assumptions Fail 12.1.1 : Non-Infinite Gain 12.1.2 : Variation in Open Loop Gain with Frequency 12.1.3 : Input Current is Not Zero 12.1.3.1 : Input Bias Current and Input Offset Current 12.1.3.2 : Input Impedance 12.1.4 : The Output Voltage Source is Not Ideal 12.1.5 : Other Non-Idealities 12.1.5.1 : Input Offset Voltage 12.1.5.2 : Power Supplies 12.1.5.3 : Input Common Mode Voltage Range 12.1.5.5 : Input Common Mode Rejection Ratio 12.1.5.6 : Temperature Effects 12.2 : Reading an Op-Amp Data Sheet 12.2.1 : Maxima, Minima and Typical Values 12.2.2 : The Front Page 12.2.3 : The Absolute Maximum Ratings Section 12.2.4 : The Electrical Characteristics Section 12.2.5 : The Packaging Section 12.2.6 : The Typical Applications Section 12.3 : Reading a Comparator Data Sheet 12.3.1 : Comparator Packaging 12.4 : Comparing Op-Amps 12.5 : Homework Problems Chapter 13 Sensors 13.1 Introduction 13.2 Sensor Output & Microcontroller Inputs 13.3 Sensor Design 13.3.1 Measuring Temperature with a Thermistor 13.3.2 Measuring Acceleration 13.3.3 Definitions of Sensor Performance Characteristics 13.4 Fundamental Sensors and Interface Circuits 13.4.1 Switches as Sensors 13.4.2 Interfacing to Switches 13.4.3 Resistive Sensors 13.4.4 Interfacing to Resistive Sensors 13.4.4.1 Using a Resistive Sensor in a Voltage Divider 13.4.4.2 Measuring Resistance Using a Current Source 13.4.4.3 The Constant Current Circuit 13.4.4.4 The Wheatstone Bridge 13.4.5 Capacitive Sensors 13.4.6 Interfacing to Capacitive Sensors 13.4.6.1 Measuring Capacitance with a Step Input 13.4.6.2 Measuring Capacitance with an Oscillator 13.4.6.3 Measuring Capacitance with a Wheatstone Bridge 13.5 A Survey of Sensors 13.5.1 Light Sensors 13.5.1.1 Photodiodes 13.5.1.2 Phototransistors 13.5.1.3 Emitter-Detector Pair Modules 13.5.1.4 Photocells 13.5.2 Strain Sensors 13.5.2.1 Metal Foil Strain Gages 13.5.2.2 Piezoresistive Strain Gages 13.5.2.3 Load Cells 13.5.3 Temperature Sensors 13.5.3.1 Thermocouples 13.5.3.2 Thermistors 13.5.4 Magnetic Field Sensors 13.5.4.1 Hall Effect Sensors 13.5.4.3 Reed Switches 13.5.5 Proximity Sensors 13.5.5.1 Capacitive Proximity Sensors 13.5.5.2 Inductive Proximity Sensors 13.5.5.3 Ultrasonic Proximity Sensors 13.5.6 Position Sensors 13.5.6.1 Potentiometers 13.5.6.2 Optical Encoders 13.5.6.3 Inductive Pickups / Gear Tooth Sensors 13.5.6.4 Reflective Infrared Sensors 13.5.6.5 Capacitive Displacement Sensors 13.5.6.6 Ultrasonic Displacement Sensors 13.5.6.7 Flex Sensors 13.5.7 Acceleration Sensors

Read more less

Book SynopsisMultiagent systems (MAS) are one of the most exciting and the fastest growing domains in the intelligent resource management and agent-oriented technology, which deals with modeling of autonomous decisions making entities. Recent developments have produced very encouraging results in the novel approach of handling multiplayer interactive systems. In particular, the multiagent system approach is adapted to model, control, manage or test the operations and management of several system applications including multi-vehicles, microgrids, multi-robots, where agents represent individual entities in the network. Each participant is modeled as an autonomous participant with independent strategies and responses to outcomes. They are able to operate autonomously and interact pro-actively with their environment. In recent works, the problem of information consensus is addressed, where a team of vehicles communicate with each other to agree on key pieces of information that enable them to work tTable of ContentsPreface. Introduction. Theoretical Background. Distributed Intelligence in Power Systems. Consensus for Heterogeneous Systems with Delays. Secure Control of Distributed Multiagent Systems. Advanced Consensus Algorithms. Cooperative Control of Networked Power Systems. Dynamic Graphical Games. References. Index.

Read more less

Book SynopsisDuring the last 60 years the discipline of human factors (HF) has evolved alongside progress in engineering, technology, and business. Contemporary HF is clearly shifting towards addressing the human-centered design paradigm for much larger and complex societal systems, the effectiveness of which is affected by recent advances in engineering, science, and education. Human Factors of a Global Society: A System of Systems Perspective explores the future challenges and potential contributions of the human factors discipline in the Conceptual Age of human creativity and social responsibility.Written by a team of experts and pioneers, this book examines the human aspects related to contemporary societal developments in science, engineering, and higher education in the context of unprecedented progress in those areas. It also discusses new paradigms for higher education, including education delivery, and administration from a systems of systems perspective. It then examines Table of ContentsHuman Factors and Technology. Psychology. Management. Higher Education. Education in Modern Society.

Read more less

Book SynopsisA book in the Systems Evaluation, Prediction, and Decision-Making Series, Systems Evaluation: Methods, Models, and Applications covers the evolutionary course of systems evaluation methods, clearly and concisely. Outlining a wide range of methods and models, it begins by examining the method of qualitative assessment. Next, it describes the process and methods for building an index system of evaluation and considers the compared evaluation and the logical framework approach, analytic hierarchy process (AHP), and the data envelopment analysis (DEA) relative efficiency evaluation method.Unique in its emphasis on the practical applications of systems evaluation methods and models, the book introduces several new evaluation models of grey system, including general grey incidence model, grey incidence models based on similarity and closeness, grey cluster evaluation based on triangular whitenization functions, and multi-attribute grey target decision modeTable of ContentsIntroduction 1 Common System Evaluation Methods and Models 2 Grey System Evaluation Models 3 Postevaluation of Road–Bridge Construction: Case Study of Lianxu Highway in China 4 Efficiency Evaluations of Scientific and Technological Activities 5 Evaluation of Energy Saving in China 6 International Cooperation Project Selection

Read more less

Book SynopsisPrepare Your Students for Statistical Work in the Real WorldStatistics for Engineering and the Sciences, Sixth Edition is designed for a two-semester introductory course on statistics for students majoring in engineering or any of the physical sciences. This popular text continues to teach students the basic concepts of data description and statistical inference as well as the statistical methods necessary for real-world applications. Students will understand how to collect and analyze data and think critically about the results.New to the Sixth Edition Many new and updated exercises based on contemporary engineering and scientific-related studies and real data More statistical software printouts and corresponding instructions for use that reflect the latest versions of the SAS, SPSS, and MINITAB software Introduction of the case studies at the beginning of each chapter Streamlined materiTrade Review"A salient feature of this book is the clarity with which many statistical concepts have been presented. A very nice blend of theory and applications. It contains a wealth of illustrative examples and problem sets. All the important concepts have been highlighted; real-life data has been extensively used throughout the book. Students will find it very appealing and useful on their way to learning the basic statistical concepts and tools."—Dharam V. Chopra, Wichita State University "I like the problems because they are all based on engineering applications of probability and statistics. I especially like the problems at the end of chapters because students have to think more to solve them. I favor problems that require calculations because engineers are problem solvers." —Charles H. Reilly, University of Central Florida "I think this text is one of the best I have seen when it comes down to real data sets. The authors successfully included small and large real data sets from various real-world problems in engineering, mathematical sciences, and natural sciences."—Edward J. Danial, Morgan State University Table of ContentsIntroduction. Descriptive Statistics. Probability. Discrete Random Variables. Continuous Random Variables. Bivariate Probability Distributions and Sampling Distributions. Estimation Using Confidence Intervals. Tests of Hypotheses. Categorical Data Analysis. Simple Linear Regression. Multiple Regression Analysis. Model Building. Principles of Experimental Design. The Analysis of Variance for Designed Experiments. Nonparametric Statistics. Statistical Process and Quality Control. Product and System Reliability.

Read more less

Book SynopsisTracking is the goal of control of any object, plant, process, or vehicle. From vehicles and missiles to power plants, tracking is essential to guarantee high-quality behavior. Nonlinear Systems Tracking establishes the tracking theory, trackability theory, and tracking control synthesis for time-varying nonlinear plants and their control systems as parts of control theory. Treating general dynamical and control systems, including subclasses of input-output and state-space nonlinear systems, the book: Describes the crucial tracking control concepts that comprise effective tracking control algorithms Defines the main tracking and trackability properties involved, identifying properties both perfect and imperfect Details the corresponding conditions needed for the controlled plant to exhibit each property Discusses various algorithms for tracking control synthesis, attacking the tracking control synthesis problems themselvTrade Review"Numerous publications and books present various aspects of tracking, but I do not know of another book only devoted to tracking and its various aspects. ... I used to teach tracking in my courses of process control and stability analysis of complex nonlinear systems, and this book could be very interesting to improve my courses. ... This book gives a complete presentation of the various aspects of tracking of nonlinear and/or time varying systems, including the determination of the maximum error for ill-defined and/or perturbed systems."—Pierre Borne, École Centrale de Lille, France Table of ContentsPreface. Systems and Control Basis. Trackability. Perfect Tracking. Imperfect Tracking: Stable Tracking. Criteria for Stable Tracking. Finite Reachability Time Tracking. Required Tracking Quality and Control Synthesis. Conclusion. Appendices. Used Literature. Indexes.

Read more less

Book SynopsisThis book presents a unified algebraic approach to stabilization problems of linear boundary control systems with no assumption on finite-dimensional approximations to the original systems, such as the existence of the associated Riesz basis. A new proof of the stabilization result for linear systems of finite dimension is also presented, leading to an explicit design of the feedback scheme. The problem of output stabilization is discussed, and some interesting results are developed when the observability or the controllability conditions are not satisfied.Table of ContentsPreliminary results - Stabilization of linear systems of finite dimension. Preliminary results: Basic theory of elliptic operators. Stabilization of linear systems of infinite dimension: Static feedback. Stabilization of linear systems of infinite dimension: Dynamic feedback. Stabilization of linear systems with Riesz Bases: Dynamic feedback. Output stabilization: lack of the observability and/or the controllability conditions. Stabilization of a class of linear control systems generating C0- semigroups. A Computational Algorhism for an Infinite-Dimensional Sylvester’s Equation.

Read more less

Book SynopsisThis textbook provides readers with a good working knowledge of adaptive control theory through applications. It is intended for students beginning masters or doctoral courses, and control practitioners wishing to get up to speed in the subject expeditiously. Readers are taught a wide variety of adaptive control techniques starting with simple methods and extending step-by-step to more complex ones. Stability proofs are provided for all adaptive control techniques without obfuscating reader understanding with excessive mathematics. The book begins with standard model-reference adaptive control (MRAC) for first-order, second-order, and multi-input, multi-output systems. Treatment of least-squares parameter estimation and its extension to MRAC follow, helping readers to gain a different perspective on MRAC. Function approximation with orthogonal polynomials and neural networks, and MRAC using neural networks are also covered. Robustness issues connected with MRAC are discussed, helping the student to appreciate potential pitfalls of the technique. This appreciation is encouraged by drawing parallels between various aspects of robustness and linear time-invariant systems wherever relevant. Following on from the robustness problems is material covering robust adaptive control including standard methods and detailed exposition of recent advances, in particular, the author’s work on optimal control modification. Interesting properties of the new method are illustrated in the design of adaptive systems to meet stability margins. This method has been successfully flight-tested on research aircraft, one of various flight-control applications detailed towards the end of the book along with a hybrid adaptive flight control architecture that combines direct MRAC with least-squares indirect adaptive control. In addition to the applications, understanding is encouraged by the use of end-of-chapter exercises and associated MATLAB® files. Readers will need no more than the standard mathematics for basic control theory such as differential equations and matrix algebra; the book covers the foundations of MRAC and the necessary mathematical preliminaries.Trade Review“This book presents the fundamental theories of least-squares function approximation and least-squares adaptive control of systems with unstructured uncertainty. … The book is intended for students beginning masters or doctoral courses, and control practitioners wishing to get up to speed in the subject expeditiously.” (Vjacheslav Vasiliev, zbMATH 1405.93001, 2019)Table of ContentsIntroduction.- Nonlinear Systems.- Mathematical Preliminaries.- Lyspunov Stability Theory.- Model-Reference Adaptive Control.- Least-Squares Parameter Identification.- Function Approximation and Adaptive Control with Unstructured Uncertainty.- Robustness Issues with Adaptive Control.- Robust Adaptive Control.- Adaptive Control Applications.

Read more less

Book SynopsisThis book is designed to serve as a textbook for courses offered to undergraduate students enrolled in Electrical Engineering and related disciplines. The book provides a comprehensive coverage of linear system theory. In this book, the concepts around each topic are well discussed with a full-length presentation of numerical examples. Each example is unique in its way, and it is graded sequentially. This book highlights simple methods for solving problems. Even though, the subject requires a very strong mathematical foundation, wherever possible, rigorous mathematics is simplified for a quick understanding of the basic concepts. The book also includes select numerical problems to test the capability of the students. Time and frequency domain approaches for the analysis and design of linear automatic control systems have been explained using state-space and transfer function models of physical systems. All the chapters include a short theoretical summary of the topic followed by exercises on solving complex problems using MATLAB commands. In addition, each chapter offers a large number of end-of-chapter homework problems. This second edition includes a new chapter on state-space modeling and analysis. Detailed conceptual coverage and pedagogical tools make this an ideal textbook for students and researchers enrolled in electrical engineering and related programs.Trade Review“This apparently impressive book (908 pages) is in fact a textbook for undergraduates in automatic control, strongly relying on the courses taught in the Engineering Colleges of India … . This fact can ensure an impressive number of readers … . The book has no Reference list but the field tackled by it is covered by many references, much more recent than the classical aforementioned ones.” (Vladimir Răsvan, zbMATH 1496.93002, 2022)Table of ContentsChapter 1. Control Systems Modelling and their Representation.- Chapter 2. Time Response Analysis.- Chapter 3. Frequency Response Analysis.- Chapter 4. Stability Analysis of Linear Control System.- Chapter 5. Root Locus Method for Analysis.- Chapter 6. Design of Compensators.- Chapter 7. State Space Modelling and Analysis.

Read more less

Book Synopsis 1- The basic concepts of decision-making in operations and project management.- 2- The modern measuring performance in digitalized operations management.- 3- Advanced decision-making in emerged technology and operations management.- 4- Digitalized decision-making in forecasting and demand planning.- 5- Process analysis and recourses utilization under uncertainty.- 6- The application of multi-criteria decision-making tools in supply chain management and logistics.- 7- Mathematical modeling and optimization methods in operations scheduling and sequencing.- 8- Uncertainty handling in supply chains inventories management.

Read more less

Book SynopsisVerification of decreasing bearing capacity while imparting vibration to ground in DEM simulation for underground moving robots.- Intelligent PID Controller for Vibration Suppression of Horizontal Flexible Plate Based on Social Spider Optimization.- Efficient Stream Based Active Learning Initialization for Legged Robots based on a PCAK Means Image Selection Approach.- Concept of Pneumatic Soft Robot Suction Driven Locomotion.

Read more less

Book SynopsisTeil I: Der Frequenzansatz zur mathematischen Beschreibung linearer periodischer Objekte.- Diskrete Operationstransformationen von Funktionen mit kontinuierlichem Argument und Operatorbeschreibung von LTI-Systemen.- Zustandsraumanalyse von endlich-dimensionalen linearen kontinuierlichen periodischen (FDLCP) Objekten.- Frequenzmethode in der Theorie von FDLCP-Objekten.- Floquet-Lyapunov-Zerlegung und ihre Anwendung.- Teil II: PTM-Ansatz für SD-Systeme mit FDLCP-Objekten.- Open-Loop SD-System mit FDLCP-Objekt.- Open-Loop SD-System mit FDLCP-Objekt und Verzögerung.- Geschlossenes SD-System mit FDLCP-Objekt und Verzögerung.- Teil III: Determinante Polynomgleichungen, SD-Modalsteuerung und Stabilisierung von FDLCP-Objekten.- Polynomische Matrizen.- Rationale Matrizen.- Determinante Polynomgleichungen, kausale Modalsteuerung und Stabilisierung diskreter Systeme.- 11 Synchrone SD-Stabilisierung von FDLCP-Objekten.- Asynchrone SD-Stabilisierung von FDLCP-Objekten.- Teil IV Aufbau des Qualitätsfunktionals für die H2-Optimierungsaufgabe des Systems St.- Allgemeine PTM-Eigenschaften eines synchronen Open-Loop-SD-Systems mit Verzögerung.- 14 PTM des Closed-Loop-SD-Systems mit Verzögerung als Funktion des Arguments s.- Berechnung der Matrizen v0(s), ?0(s), ?0(s).- Systemfunktion.- Darstellung des PTM eines Closed-Loop-synchronen SD-Systems durch die Systemfunktion.- H2-Norm des Closed-Loop-SD-Systems.- Konstruktion des Qualitätsfunktionals.- Teil V H2-Optimierung des Closed-Loop-SD-Systems.- Skalare und Matrix-Quasi-Polynome.- Minimierung einer quadratischen Funktion auf dem Einheitskreis.- Konstruktion der Matrix ?(s,t).- Konstruktion der Matrix C ~T (s,t).- Transformation der Qualitätsfunktion.- H2-Optimierung des Systems St.

Read more less

Table of ContentsA. Längenprüftechnik.- B. Pneumatische Längenmeßgeräte.- C. Optische Meßgeräte.- D. Interferenzkomparatoren.- E. Elektrische Längenmeßgeräte.- F. Das Messen von Winkeln.- G. Prüfen der Oberfläche.- H. Prüfen und Messen der Form.- I. Prüfen des Gewindes.- K. Messen an Zahnrädern.- L. Das Messen dünner Schichten.- M. Dickenmessung mit dem Durchstrahlungsmeßverfahren.- Sachwortverzeichnis.

Read more less

Book SynopsisViele Bereich der Chemie bedienen sich neuerdings komplexer, aufwendiger Analyseautomaten, die aus Wirtschaftlichkeitsgrunden haufig in zentralen Dienstleistungsabteilungen angesiedelt sind. Dieser Tendenz zur Zentralisierung kann im wesentlichen durch zwei Massnahmen entgegengewirkt werden: durch eine dezentrale Automatisierung unter Verwendung einer Standardgeratetechnik, durch Bedienungsmoglichkeiten von Automatisierungsfunktionen ohne laborfremdes Fachwissen (Programmierung, Rechnertechnik). In dem vorliegenden Buch werden die Einflussfaktoren fur die Gestaltung eines Laborgeratesystems analysiert. Aus dieser Analyse werden die Eigenschaften und Funktionen des Laborgeratesystems abgeleitet und fortschreitend detailliert. Dabei zeigt es sich, dass sich sowohl die geratetechnischen Funktionen als auch die Bedienfunktionen auf elementare Einzelfunktionen zuruckfuhren lassen. Abschliessend wird eine Realisierungsmoglichkeit dieses Geratesystems vorgestellt, bei der der Modularisierungsgedanke auch innerhalb der Gerate weitergefuhrt wurde. Anhand dieses Beispiels werden in Verbindung mit einem Demonstrationsversuch die Anwendungsbreite und die Funktionalitat des Geratesystems beschrieben.Table of Contents1 Einleitung.- 1.1 Auswahl eines Anwendungsbereiches.- 1.2 Zielsetzung.- 1.3 Vorgehensweise.- 2 Stand der Technik.- 2.1 Theoretische Betrachtungen.- 2.1.1 Energetische Betrachtungen.- 2.1.2 Fehlerbetrachtung.- 2.2 Analyse der Arbeitsinhalte.- 2.3 Stand der Gerätetechnik.- 2.3.1 Standardgeräte und gerätetechnische Versuchskomponenten.- 2.3.2 Analytische Geräte.- 2.3.3 Handhabungseinrichtungen.- 2.3.4 Labordatenerfassung.- 2.3.5 Schnittstellen.- 2.3.6 Anordnung der Geräte.- 3 Anforderungen an das Gesamtsystem.- 3.1 Systemeigenschaften.- 3.2 Funktionsaufteilung.- 3.2.1 Aufteilung in Funktionsgruppen.- 3.2.2 Architektur der Funktionsaufteilung.- 3.3 Definition der Gerätefunktionen.- 3.3.1 Meßgeräte.- 3.3.2 Steuergeräte.- 3.3.3 Regler.- 3.3.4 Ausgabeeinheiten.- 3.3.5 Einheiten mit Sonderfunktionen.- 3.4 Funktionsverkettung und -verknüpfung.- 3.4.1 Abgrenzung von Gerätegruppen.- 3.4.2 Verknüpfung der Geräte.- 3.5 Variabilität.- 3.5.1 Geräteeinstellung.- 3.5.2 Konfigurierung.- 3.5.3 Systemgrenzen.- 3.6 Bedienfunktionen.- 3.6.1 Handhabung der Geräte.- 3.6.2 Gerätebedienung.- 3.6.3 Verknüpfungsaufbau.- 3.6.4 Fernparametrierung.- 3.7 Sicherheit und Zuverlässigkeit.- 4 Konzeption des Laborgerätesystems.- 4.1 Organisationsstruktur.- 4.1.1 Funktionszuordnung.- 4.2 Architektur des Gerätesystems.- 4.2.1 Systemaufbau.- 4.2.2 Kommunikationseinrichtung.- 4.3 Systemfunktionen.- 4.3.1 Kommunikation und Datensicherung.- 4.3.1.1 Physical Layer.- 4.3.1.2 Linkage Layer.- 4.3.1.3 Network Layer.- 4.3.1.4 Transport Layer.- 4.3.1.5 Session Layer.- 4.3.1.6 Datensicherung.- 4.3.2 Konfiguration.- 4.3.3 Fehlerbehebung.- 4.4 Bedienung.- 4.4.1 Gerätekommunikation.- 4.4.2 Gerätefunktionen.- 4.5 Gehäuse.- 5 Entwicklung und Aufbau des Laborgerätesystems.- 5.1 Festlegung beispielhafter Gerätefunktionen.- 5.2 Festlegung beispielhafter Systemfunktionen.- 5.3 Baugruppendefinitionen.- 5.3.1 Geräteinterne Standardbaugruppen.- 5.3.2 Gerätefunktionsapezifische Baugruppen.- 5.3.3 Systembaugruppen.- 5.4 Softwarekonzept.- 5.4.1 Betriebssystem.- 5.4.2 Kommunikation.- 5.4.3 Bedienerführung.- 5.4.4 Systemfunktionen.- 5.4.4.1 Änderung einer Konfiguration.- 5.4.4.2 Fehlerbehebung.- 5.5 Gerätebeschreibungen.- 5.5.1 Busmanager (BM).- 5.5.2 Versuchsmanager (VM).- 5.5.3 Multimeter (MTM).- 5.5.4 Programmierbare Kleinspannungsausgabe (KSA).- 5.5.5 Regler (RGL).- 5.6 Mechanik und Gehäuse.- 6 Erprobung und Anwendung.- 6.1 Anwendungsbeispiel Zwei-Säulen-Mitteldruck-chromatographie.- 6.2 Ablauf des Versuches.- 6.3 Erweiterungsmöglichkeiten.- 6.4 Anpassung an die Bedürfnisse im Ausbildungsbereich.- 7 Bewertung der durchgeführten Arbeiten.- 7.1 Bewertung des Gerätesystems.- 7.1.1 Auswirkungen auf die Arbeitsweise.- 7.1.2 Voraussetzungen in der Laborplanung.- 7.1.3 Qualifikationsanforderungen.- 8 Zusammenfassung.- 9 Ausblick.- Lebenslauf.

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 SynopsisDas Buch gibt einen Überblick zu verschiedenen Verarbeitungsmethoden zur Klassifizierung von Messgrößen und den dazu benötigten Techniken. Mit verschiedenen Beispielen wird allgemein verständlich die Arbeitsweise der vorgestellten Module erläutert. Dabei werden methodenbedingte Spielräume hervorgehoben und der Bezug zu Anwendungen hergestellt, um dem Leser zu ermöglichen, die für eine Anwendung optimale Lösung zu finden. Die Bereitstellung neuer Rahmenbedingungen ermöglicht es, multivariate Messgrößen hochpräzise und ohne Eingabe von Parametern durchzuführen. Die Berechnungen werden mit den Programmpaketen MatLab und Excel durchgeführt. Dabei wird besonderer Wert auf die Nachvollziehbarkeit der zentralen Rechenoperationen gelegt.Table of ContentsKonnektionistische Systeme.- Methoden des maschinellen Lernens.- Messtechnik und maschinelles Lernen.- Wavelet- und andere Transformationen zur Koeffizientendarstellung.- Entfernung unerwünschter Signalkomponenten.- Datenvorverarbeitung.- Modellbildung.- Metrik zur Darstellung der multidimensionalen Daten.

Read more less

Book SynopsisDer Schwerpunkt des ersten Teils dieses dritten Bandes liegt auf der Auslegung mechatronischer Komponenten, insbesondere auf den zur Erzeugung hochdynamischer Antriebsbewegungen verwendeten Vorschubantrieben von Werkzeugmaschinen. Vorgestellt werden Konstruktionshilfen bei der Auswahl und Auslegung wichtiger Maschinenkomponenten, die Regelungstechnik von Vorschubantrieben sowie die zur Positionserfassung benötigten Messsysteme. Ein weiterer Schwerpunkt widmet sich Prozess- und Diagnoseeinrichtungen von Fertigungsmaschinen und -anlagen. Der zweite Teil beschreibt Steuerungskonzepte einschließlich ihrer Programmiertechniken für verschiedene Anwendungsbereiche moderner Produktionssysteme. Bestandteil dieser Betrachtungen sind speicherprogrammierbare Steuerungen (SPS), Numerische Steuerungen (NC) und Robotersteuerungen (RC). Im Kontext automatisierter Fertigungssysteme werden darüber hinaus die verschiedenen Ebenen der Automatisierungspyramide und die Bedeutung von Leitsystemen (MES) beschrieben. Abschließend geht der Band auf das Engineering von Maschinen und Anlagen ein. Das Kompendium „Werkzeugmaschinen Fertigungssysteme" wurde vollständig überarbeitet. Die bisher fünfbändige Reihe wird in der neuen 9. Auflage zu drei Bänden mit durchgängigen Farbabbildungen zusammengefasst.Table of ContentsEinleitung.- Vorschubachsen in Werkzeugmaschinen.- Dynamisches Verhalten von Vorschubachsen.- Vorschubantriebe zur Bahnerzeugung.- Auslegung von Vorschubantrieben.- Prozessüberwachung.- Automatisierung von Maschinen und Anlagen.- Mechanische Steuerungen.- Grundlagen der Informationsverarbeitung.- Elektrische Steuerungen.- Numerische Steuerungen.- Führungsgrößenerzeugung und Interpolation.- Robotersteuerungen.- Fertigungsleittechnik.- Engineering.- Index.

Read more less

Book SynopsisDieses Lehr- und Übungsbuch bietet allen technisch orientierten und interessierten Lesern eine breit angelegte Einführung in wichtige Teilgebiete der Automatisierungstechnik. Anhand eines konkreten flexiblen Montagesystems (FMS) werden Aspekte des Messens, Steuerns, Regelns und ihr Einsatz als Elemente in der Automatisierungstechnik anschaulich behandelt. Durch zahlreiche durchgerechnete Lehrbeispiele und Fragen zur Selbstkontrolle ist das Buch sehr gut zum Selbststudium geeignet. In der 8. Auflage wurden ein Kapitel über Fuzzy-Control sowie ein englisch-deutsches Glossar aufgenommen. Das Kapitel Steuerungstechnik wurde um speicherprogrammierbare Steuerungen ergänzt.Trade Review"Bewährtes, didaktisch gut aufbereitetes Lehrbuch für Techniker und Facharbeiter über Teilgebiete der Automatisierungstechnik." ekz-Informationsdienst, ID 13/06 - BA 5/06Table of Contents1 Einführung in die Automatisierungstechnik.- 1.1 Technisch/wirtschaftliche Grundlagen.- 1.2 Grundkonzepte moderner Automatisierungstechnik.- 1.3 Grundlagen der Leittechnik.- 1.4 Von der Aufgabe zur Lösung, konzipieren eines FMS.- 1.5 Die Lernanlage.- 2 Messtechnik.- 2.1 Einleitung.- 2.2 Messen physikalischer Größen.- 2.2.1 Grundlagen der Messtechnik.- 2.3 Temperaturmessung.- 2.3.1 Grundlagen.- 2.3.2 Temperaturmessung mittels Widerstandsthermometer.- 2.3.3 Einbaugrundsätze für Widerstandsthermometer.- 2.3.4 Temperaturmessung mittels Thermoelemente.- 2.3.5 Auswahlkriterien für Widerstandsthermometer und Thermoelemente.- 2.4 Kraftmessung.- 2.4.1 Grundlagen der Dehnungsmessstreifen.- 2.4.2 Aufbau und Anbringung von Dehnungsmessstreifen.- 2.4.3 Schaltung von Dehnungsmessstreifen.- 2.4.4 Kraftaufnehmer.- 2.5 Näherungsschalter.- 2.5.1 Grundlagen.- 2.5.2 Induktive Näherungsschalter.- 2.5.3 Kapazitive Näherungsschalter.- 2.5.4 Einbaugrundsätze.- 2.5.5 Näherungsschalter in der Lernanlage.- 2.6 Optische Sensoren.- 2.6.1 Grundlagen.- 2.6.2 Lichtschrankentypen.- 2.6.3 Geräteauswahl und Montage.- 2.7 Ultraschallsensoren.- 2.7.1 Grundlagen.- 2.7.2 Unterscheidungsmerkmale und Funktionsarten von Ultraschallsensoren.- 2.7.3 Montage und Betrieb.- 2.8 Drehgeber.- 2.8.1 Grundlagen.- 2.8.2 Inkrementale Drehgeber.- 2.8.3 Hohlwellendrehgeber.- 2.8.4 Montage und Betrieb.- 2.8.5 Absolute Drehgeber.- 2.8.6 Einsatz von Drehgebern.- 3 Steuerungstechnik.- 3.1 Einführung in die Steuerungstechnik.- 3.1.1 Grundbegriffe der Steuerungstechnik.- 3.1.2 Unterscheidungsmerkmale für Steuerungen.- 3.1.3 Grafische Darstellung von Steuerungsabläufen.- 3.2 Signalverarbeitung in Steuerungen.- 3.2.1 Signalarten.- 3.2.2 Logische Grundverknüpfung binärer Signale.- 3.2.3 Grundlagen der Schaltalgebra.- 3.2.4 Das Karnaugh-Veitch-Diagramm.- 3.2.5 Die Speicherfunktion.- 3.2.6 Zeitelemente und Zähler in Steuerungen.- 3.3 Verbindungsprogrammierte Steuerungen.- 3.3.1 Verknüpfungssteuerungen für Linearbewegungen.- 3.3.2 Ablaufsteuerung für Linearbewegungen.- 3.4 Speicherprogrammierbare Steuerungen.- 3.4.1 Das Automatisierungssystem.- 3.4.2 Grundlagen der Programmierung nach IEC 61131-3.- 3.4.3 Verknüpfungssteuerung für einen Drehstromantrieb.- 3.4.4 Ablaufsteuerungen.- 3.4.5 Verarbeitung analoger Signale.- 3.4.6 Sicherheitsanforderungen an Steuerungen.- 4 Regelungstechnik.- 4.1 Grundlagen.- 4.1.1 Grundbegriffe.- 4.1.2 Grafische Darstellung von Regelkreisen mithilfe des Wirkungsplans.- 4.1.3 Beschreibung des Verhaltens von Regelkreisgliedern.- 4.2 Regelstrecken.- 4.2.1 Einteilung der Strecken.- 4.2.2 Regelstrecken mit Ausgleich (P-Strecken).- 4.2.3 Regelstrecken ohne Ausgleich (I-Strecken).- 4.2.4 Regelstrecken mit Verzögerung (P-Tn- Strecken).- 4.2.5 Regelstrecken mit Totzeit (Tt-Strecken).- 4.3 Regler.- 4.3.1 Einteilung der Regler.- 4.3.2 Unstetige Regler am Beispiel des Zweipunktreglers.- 4.3.3 Stetige Regler.- 4.3.4 Quasistetige Regler.- 4.4 Zusammenwirken zwischen Regler und Strecke.- 4.4.1 Beurteilungskriterien.- 4.4.2 Regelung mit stetigen Reglern.- 4.4.3 Regelung mit Zweipunktreglern.- 4.4.4 Regelung mit einer SPS.- 4.5 Fuzzy-Regelung.- 4.5.1 Fuzzy-Mengen.- 4.5.2 Fuzzifizierung.- 4.5.3 Regelwerk und Inferenz.- 4.5.4 Defuzzifizierung.- 5 Automatisierungstechnik.- 5.1 Informations- und Kommunikationstechnik.- 5.1.1 Grundlagen der Informationstechnik.- 5.1.2 Bussysteme und Netzwerke in der AT.- 5.1.3 Komponenten zum Bedienen und Beobachten in der Leittechnik.- 5.2 Handhabungstechnik.- 5.2.1 Grundlagen.- 5.2.2 Pick-and-place-Geräte.- 5.2.3 Industrieroboter.- 5.2.4 Roboterprogrammierung.- 5.3 Werkstückträger-Transportsysteme.- Literatur.- Sachwortverzeichnis.

Read more less

Book SynopsisTopics covered include: design technologies and applications; FE simulation for concurrent design and manufacture; methodologies; knowledge engineering and management; CE within virtual enterprises; and CE - the future.

Read more less

Book SynopsisThis book contributes for the advances in the interoperability research area, including 154 papers, from a group of more than 1000 expressions of interest submitted, under the theme "Concurrent Engineering Research and Applications – The Vision for the Future Generation".Table of ContentsAnalysis on 10 years of ISPE/CEconf community Intelligent applications and business intelligence 1. Application of data mining and intelligent agent technologies to concurrent engineering 2. A generic agent message repository 3. Embedding data-driven decision strategies on software agents: The case of a multi-agent system for monitoring air-quality indexes 4. Open source supply chains 5. Fuzzy multiple-level sequential patterns discovery from customer transaction database 6. Taboo search as an intelligent agent for bid evaluation 7. A multi-agent system-based ETL approach for complex data 8. Temporal aspects of data warehousing 9. Towards semantic temporal support in data integration 10. Time aspects in SAP business information warehouse 11. Clustering of IT application systems for designing a data warehouse Agents and multi-agent systems 12. Communication and interaction protocols for multi-agent systems in a framework based on C# and the common language infrastructure 13. A multi-agent system for improving result ranking service of web search engines 14. Combined parallel and agent-based methods in distributed logistics networks 15. Distributed event dissemination for ubiquitous agents 16. An agent-based approach to knowledge management in distributed design 17. Dialogue in teamwork 18. Learning preferences to provide advice 19. Learning as a methodology for partner selection in agent-based negotiation 20. Agent based web content categorization 21. Multi-agent based internet search 22. Negotiation algorithms for collaborative design settings 23. ANTS: An API for creating negotiation applications 24. Model for situated multi-agent systems with regional synchronization 25. The DEMIAN system approach to intrusion detection 26. Task-oriented engineering of coordinated software systems 27. Data integration in engineering 28. An application of the mediator approach to services over the web 29. An automated information integration technique using an ontoly-based database approach 30. Mapping of product dictionaries and corresponding catalog data 31. From hyperclasses to IS components 32. Context-explication in conceptual ontologies: The PLIB approach 33. Concepts and benefits of the German ISO 13584 compliant online dictionary www.DINsml.net 34. Classification, taxonomy, ontology, what do we mean with it? 35. PLIB ontology for B2B electronic commerce 36. Modelling product ontology with CQL 37. On the consistency of cardinality constraints in UML modelling 38. Data integrity for concurrent engineering transactions 39. Collaborative product modelling in heterogeneous environments: An approach based on XML schema 40. Reducing parts diversity in product design: A data centered approach E-business standards 41. CEN/ISSS Workshop eCAT – A step towards multilingual electronic product catalogues 42. Roadmap for e-commerce standardization in Korea 43. Standards for the next-generation web: Architectural considerations from a standardization perspective 44. Adoption of B2B standards 45. Standards for software component markets 46. Towards a standardization process for component based architectures 47. – A web service for the conversion of XML standards 48. Standardising electronic marketplaces – What and how? 49. Modular application protocol for advances in interoperable manufacturing environments in SMEs 50. Practices and standards in electronic negotiations 51. Domain specific standardization for collaborative business applications 52. Development of customer-oriented IOS: Initiating e-collaboration projects 53. Cross enterprise collaboration in the banking industry using web services and BPEL 54. Interorganizational collaboration in the automotive industry: A supplier portal 55. Hub to higher performance? – An internet hub for the Vos Logistics supply chain Enhanced interoperable systems 56. The openXchange framework for ebXML based business process integration 57. Performance measuring of e-business solution in manufacturing firm 58. Agent assisted concurrent process engineering system for design support 59. Pushing small service suppliers towards the SEEM 60. Towards a knowledge-based engineering system to support computational simulation activities at Renault Company 61. Collaborative engineering with OEM customers in the new age of information and communication technologies 62. Towards business quality of service in virtual organizations through service level agreements and ebXML 63. Disconnections handling in mobile internet 64. Enabling cooperative design tasks – A collaboration platform by using web services 65. Parametrics: State of the art and future issues 66. A reference model to support introducing product lifecycle management 67. A vision for e-collaboration between suppliers and OEM customers 68. Manufacturing interoperability 69. Configuration design of product families based on features 70. Overview of partial model query language 71. Web services for semantic model integration in concurrent engineering 72. OMG CAD Services V1.0 standard: An approach to CAD–CAx integration 73. Web services as a part of an adaptive information system framework for concurrent engineering 74. Virtual manufacturing environment and CE Enterprise architecture and continuous business solutions 75. From business goals to system goals using a verbs/goals ontology 76. From enterprise modelling to enterprise visual scenes 77. Multi-perspective multi-purpose enterprise knowledge modelling 78. The foundations of AKM technology 79. Use case driven Active Knowledge Models (AKM) in extended enterprises 80. Structured and non structured strategies 81. Metis® LEARN! – Leveraging Enterprise Architecture Repository iNvestments 82. Continuous business engineering: Towards aligned evolution of business strategy and software architecture 83. Supporting alignment of IT-infrastructure and IT-strategy: The balanced scorecard based IT strategy card approach 84. Development of corporate ontolgies for key account management in the Mexican Petroleum Institute 85. Knowledge sharing for continuous business engineering based on web intelligence 86. Model-driven work management services 87. Model driven operational solution 88. An advanced infrastructure for collaborative engineering in electronic design automation 89. Knowledge management repositories and services 90. The External intelligent infrastructure 91. Interaction elements: Utilizing knowledge to provide high quality information in a decision support system

Read more less

Book SynopsisThis book highlights the cutting-edge research on energy management within smart grids with significant deployment of Plug-in Electric Vehicles (PEV). These vehicles not only can be a significant electrical power consumer during Grid to Vehicle (G2V) charging mode, they can also be smartly utilized as a controlled source of electrical power when they are used in Vehicle to Grid (V2G) operating mode. Electricity Price, Time of Use Tariffs, Quality of Service, Social Welfare as well as electrical parameters of the network are all different criteria considered by the researchers when developing energy management techniques for PEVs. Risk averse stochastic energy hub management, maximizing profits in ancillary service markets, power market bidding strategies for fleets of PEVs, energy management of PEVs in the presence of renewable energy in distribution lines or microgrids and loss minimization in distribution networks based on smart coordination approaches using real time energy prices are some of the attractive and novel topics explored in this book. It will be an excellent reference for graduate students, researchers and industry professionals who are interested in getting a snapshot view of today’s latest research on applying various smart energy management strategies for smart grids with high penetration of PEVs.Table of ContentsOverview of Plug-in Electric Vehicles Technologies.- Smart Coordination Approach for Power Management and Loss Minimization in Distribution Networks with PEV Penetration Based on Real Time Pricing.- Plug-in Electric Vehicles Management in Smart Distribution Systems.- An Optimal and Distributed Control Strategy for Charging Plug-in Electrical Vehicles in the Future Smart Grid.- Risk averse energy hub management considering Plug-in Electric Vehicles using Information gap decision theory.- Integration of Distribution Grid Constraints in an Event-driven Control Strategy for Plug-in Electric Vehicles in a Multi-aggregator Setting.- Distributed Load Management using Additive Increase Multiplicative Decrease based Techniques.- Towards a Business Case for Vehicle-to-Grid – Maximizing Profits in Ancillary Service Markets.- Integration of PEVs into Power Markets: A Bidding Strategy for a Fleet Aggregator.- Optimal Control of Plug-in Vehicles Fleets in microgrids.- Energy Management in Microgrids with Plug-in Electric Vehicles, Distributed Energy Resources and Smart Home Appliances.

Read more less

Book Synopsis

Read more less

Book SynopsisMultivariable Feedback Control: Analysis and Design, Second Edition presents a rigorous, yet easily readable, introduction to the analysis and design of robust multivariable control systems.Table of ContentsPreface xi 1 Introduction 1 1.1 The process of control system design 1 1.2 The control problem 2 1.3 Transfer functions 3 1.4 Scaling 5 1.5 Deriving linear models 7 1.6 Notation 10 2 Classical Feedback Control 15 2.1 Frequency response 15 2.2 Feedback control 20 2.3 Closed-loop stability 26 2.4 Evaluating closed-loop performance 28 2.5 Controller design 40 2.6 Loop shaping 42 2.7 IMC design procedure and PID control for stable plants 54 2.8 Shaping closed-loop transfer functions 59 2.9 Conclusion 65 3 Introduction To Multivariable Control 67 3.1 Introduction 67 3.2 Transfer functions for MIMO systems 68 3.3 Multivariable frequency response analysis 71 3.4 Relative gain array (RGA) 82 3.5 Control of multivariable plants 91 3.6 Introduction to multivariable RHP-zeros 95 3.7 Introduction to MIMO robustness 98 3.8 General control problem formulation 104 3.9 Additional exercises 115 3.10 Conclusion 117 4 Elements of Linear System Theory 119 4.1 System descriptions 119 4.2 State controllability and state observability 127 4.3 Stability 134 4.4 Poles 135 4.5 Zeros 138 4.6 Some important remarks on poles and zeros 141 4.7 Internal stability of feedback systems 144 4.8 Stabilizing controllers 148 4.9 Stability analysis in the frequency domain 150 4.10 System norms 156 4.11 Conclusion 162 5 Limitations On Performance In Siso Systems 163 5.1 Input-output controllability 163 5.2 Fundamental limitations on sensitivity 167 5.3 Fundamental limitations: bounds on peaks 172 5.4 Perfect control and plant inversion 180 5.5 Ideal ISE optimal control 181 5.6 Limitations imposed by time delays 182 5.7 Limitations imposed by RHP-zeros 183 5.8 Limitations imposed by phase lag 191 5.9 Limitations imposed by unstable (RHP) poles 192 5.10 Performance requirements imposed by disturbances and commands 198 5.11 Limitations imposed by input constraints 199 5.12 Limitations imposed by uncertainly 203 5.13 Summary: controllability analysis with feedback control 206 5.14 Summary: controllability analysis with feedforward control 209 5.15 Applications of controllability analysis 210 5.16 Conclusion 219 6 Limitations On Performance In Mimo Systems 221 6.1 Introduction 221 6.2 Fundamental limitations an sensitivity 222 6.3 Fundamental limitations: bounds on peaks 223 6.4 Functional controllability 232 6.5 Limitations imposed by time delays 233 6.6 Limitations imposed by RHP-zeros 235 6.7 Limitations imposed by unstable (RHP) poles 238 6.8 Performance requirements imposed by disturbances 238 6.9 Limitations imposed by input constraints 240 6.10 Limitations imposed by uncertainty 242 6.11 MIMO input-output controllability 253 6.12 Conclusion 258. 7 Uncertainty and Robustness For Siso Systems 259 7.1 Introduction to robustness 259 7.2 Representing uncertainty 260 7.3 Parametric uncertainty 262 7.4 Representing uncertainty in the frequency domain 265 7.5 SISO robust stability 274 7.6 SISO robust performance 281 7.7 Additional exorcises 287 7.8 Conclusion 288 8 Robust Stability and Performance Analysis For Mimo Systems 289 8.1 General control configuration with uncertainly 289 8.2 Representing uncertainty 290 8.3 Obtaining P, N and M 298 8.4 Definitions of robust stability and robust performance 299 8.5 Robust stability of the M Δ-structure 301 8.6 Robust stability for complex unstructured uncertainty 302 8.7 Robust stability with structured uncertainly: motivation 305 8.8 The structured singular value 306 8.9 Robust stability with structured uncertainly 313 8.10 Robust, performance 316 8.11 Application: robust performance with input uncertainty 320 8.12 μ-synthesis and DK-iteration 328 8.13 Further remarks on μ 336 8.14 Conclusion 338 9 Controller Design 341 9.1 Trade-offs in MIMO feedback design 341 9.2 LQG control 344 9.3 ℋ2 and ℋ∞ control 352 9.4 ℋ∞ loop-shaping design 364 9.5 Conclusion 381 10 Control Structure Design 383 10.1 Introduction 383 10.2 Optimal operation and control 385 10.3 Selection of primary controlled outputs 388 10.4 Regulatory control layer 403 10.5 Control configuration elements 419 10.6 Decentralized feedback control 428 10.7 Conclusion 453 11 Model Reduction 455 11.1 Introduction 455 11.2 Truncation and residualization 456 11.3 Balanced realizations 457 11.4 Balanced truncation and balanced residualization 458 11.5 Optimal Hankel norm approximation 459 11.6 Reduction of unstable models 462 11.7 Model reduction using Matlab 462 11.8 Two practical examples 463 11.9 Conclusion 471 12 Linear Matrix Inequalities 473 12.1 Introduction to LMI problems 473 12.2 Types of LMI problems 476 12.3 Tricks in LMT problems 479 12.4 Case study: anti-windup compensator synthesis 484 12.5 Conclusion 490 13 Case Studies 491 13.1 Introduction 491 13.2 Helicopter control 492 13.3 Aero-engine control 500 13.4 Distillation process 509 13.5 Conclusion 514 A Matrix Theory and Norms 515 A.1 Basics 515 A.2 Eigenvalues and eigenvectors 51 8 A.3 Singular value decomposition 520 A.4 Relative gain array 526 A.5 Norms 530 A.6 All-pass factorization of transfer function matrices 541 A.7 Factorization of the sensitivity function 542 A.8 Linear fractional transformations 543 B Project Work and Sample Exam 547 B.1 Project work 547 B.2 Sample exam 548 Bibliography 553 Index 563

Read more less

Book SynopsisThis book is a collection of projects based around various microcontrollers from the PIC family. The reader is carefully guided through the book, from very simple to more complex projects in order to gradually build their knowledge about PIC microcontrollers and digital electronics in general.Table of ContentsAbout the Authors vii Preface ix Acknowledgements xiii 1 PREPARING TO DO A PIC PROJECT 1 1.1 Introduction 1 1.2 Overview of PIC Microcontroller 2 1.3 Basics of PIC Assembly Language 9 1.4 Introduction to C Programming for PIC Microcontroller 16 1.5 MPLAB Integrated Development Environment (IDE) 28 1.6 Advanced Debugger Features – Stimulus 48 2 SIMPLE INTERFACES 55 2.1 Introduction 55 2.2 PIC12F629 Circuit Design 56 2.3 The PIC12F629 Strip Board Design 57 2.4 The PIC12F629 PCB Board Design 58 2.5 The PIC12F629 – Flashing LED Application 59 2.6 PIC16F627A Circuit Design 68 2.7 PIC16F629 Strip Board Design 69 2.8 PIC16F627A PCB Board Design 70 2.9 PIC16F627A – Display Segments 71 3 DISPLAY INTERFACES 83 3.1 Introduction 83 3.2 PIC16F627A Four-Digit, Seven-Segment LED Display Circuit Design 84 3.3 PIC16F627A Four-Digit, Seven-Segment LED Display Circuit Strip Board Design 84 3.4 PIC12F629 PCB Board Design 86 3.5 PIC16F627A Four-Digit, Seven-Segment LED Display Circuit Application 86 3.6 PIC16F627A LCD Display Circuit Design 93 3.7 PIC16F627A Four-Digit, Seven-Segment LED Display Circuit Strip Board and PCB Design 95 3.8 PIC16F627A LCD Display Circuit Application 96 4 RS232 INTERFACES 105 4.1 Introduction 105 4.2 RS232 Interface Circuit Design 106 4.3 PIC16F627A MCU – Transmit – C Program 109 4.4 PIC16F627A MCU – Transmit – Assembly Program 115 4.5 PIC16F627A MCU – Receive – C Program 119 4.6 PIC16F627A MCU – Receive – Assembly Program 121 4.7 PIC16F627A MCU – Transmit-Receive – C Program 124 4.8 PIC16F627A MCU – Transmit-Receive – Assembly Program 126 5 INTERFACING PICS WITH THE ANALOG WORLD 129 5.1 Introduction 129 5.2 Hardware Description 132 5.3 Level Indicator Program and Advanced Simulator Features 133 5.4 Level Indicator with Timing 147 5.5 Level Indicator with Better Timing – Timer Interrupts 149 5.6 Talkthrough Program with Adjustable Sampling Rate 156 6 OTHER PIC PROJECTS 159 6.1 Introduction 159 6.2 Stepper Motor Controller using PIC12F675 159 6.3 DC Motor Controller using a PIC12F675 164 6.4 An Ultrasonic Measuring System using the PIC16F627A 167 6.5 Function Generator 173 6.6 Digital Filtering 178 Appendix 189 Index 191

Read more less

Book SynopsisPresents key cutting edge research into the use of iterative learning control The book discusses the main methods of iterative learning control (ILC) and its interactions, as well as comparator performance that is so crucial to the end user.Table of ContentsPreface vii 1 Iterative Learning Control: Origins and General Overview 1 1.1 The Origins of ILC 2 1.2 A Synopsis of the Literature 5 1.3 Linear Models and Control Structures 6 1.3.1 Differential Linear Dynamics 7 1.4 ILC for Time-Varying Linear Systems 9 1.5 Discrete Linear Dynamics 11 1.6 ILC in a 2D Linear Systems/Repetitive Processes Setting 16 1.6.1 2D Discrete Linear Systems and ILC 16 1.6.2 ILC in a Repetitive Process Setting 17 1.7 ILC for Nonlinear Dynamics 18 1.8 Robust, Stochastic, and Adaptive ILC 19 1.9 Other ILC Problem Formulations 21 1.10 Concluding Remarks 22 2 Iterative Learning Control: Experimental Benchmarking 23 2.1 Robotic Systems 23 2.1.1 Gantry Robot 23 2.1.2 Anthromorphic Robot Arm 25 2.2 Electro-Mechanical Systems 26 2.2.1 Nonminimum Phase System 26 2.2.2 Multivariable Testbed 29 2.2.3 Rack Feeder System 30 2.3 Free Electron Laser Facility 32 2.4 ILC in Healthcare 37 2.5 Concluding Remarks 38 3 An Overview of Analysis and Design for Performance 39 3.1 ILC Stability and Convergence for Discrete Linear Dynamics 39 3.1.1 Transient Learning 41 3.1.2 Robustness 42 3.2 Repetitive Process/2D Linear Systems Analysis 43 3.2.1 Discrete Dynamics 43 3.2.2 Repetitive Process Stability Theory 46 3.2.3 Error Convergence Versus Along the Trial Performance 51 3.3 Concluding Remarks 55 4 Tuning and Frequency Domain Design of Simple Structure ILC Laws 57 4.1 Tuning Guidelines 57 4.2 Phase-Lead and Adjoint ILC Laws for Robotic-Assisted Stroke Rehabilitation 58 4.2.1 Phase-Lead ILC 61 4.2.2 Adjoint ILC 63 4.2.3 Experimental Results 63 4.3 ILC for Nonminimum Phase Systems Using a Reference Shift Algorithm 68 4.3.1 Filtering 74 4.3.2 Numerical Simulations 75 4.3.3 Experimental Results 75 4.4 Concluding Remarks 81 5 Optimal ILC 83 5.1 NOILC 83 5.1.1 Theory 83 5.1.2 NOILC Computation 86 5.2 Experimental NOILC Performance 89 5.2.1 Test Parameters 90 5.3 NOILC Applied to Free Electron Lasers 93 5.4 Parameter Optimal ILC 96 5.4.1 An Extension to Adaptive ILC 98 5.5 Predictive NOILC 99 5.5.1 Controlled System Analysis 104 5.5.2 Experimental Validation 106 5.6 Concluding Remarks 116 6 Robust ILC 117 6.1 Robust Inverse Model-Based ILC 117 6.2 Robust Gradient-Based ILC 123 6.2.1 Model Uncertainty –Case (i) 127 6.2.2 Model Uncertainty –Cases (ii) and (iii) 128 6.3 H∞ Robust ILC 132 6.3.1 Background and Early Results 132 6.3.2 H∞ Based Robust ILC Synthesis 137 6.3.3 A Design Example 142 6.3.4 Robust ILC Analysis Revisited 151 6.4 Concluding Remarks 153 7 Repetitive Process-Based ILC Design 155 7.1 Design with Experimental Validation 155 7.1.1 Discrete Nominal Model Design 155 7.1.2 Robust Design –Norm-Bounded Uncertainty 160 7.1.3 Robust Design – Polytopic Uncertainty and Simplified Implementation 165 7.1.4 Design for Differential Dynamics 170 7.2 Repetitive Process-Based ILC Design Using Relaxed Stability Theory 170 7.3 Finite Frequency Range Design and Experimental Validation 178 7.3.1 Stability Analysis 178 7.4 HOILC Design 194 7.5 Inferential ILC Design 196 7.6 Concluding Remarks 202 8 Constrained ILC Design 203 8.1 ILC with Saturating Inputs Design 203 8.1.1 Observer-Based State Control Law Design 203 8.1.2 ILC Design with Full State Feedback 209 8.1.3 Comparison with an Alternative Design 210 8.1.4 Experimental Results 215 8.2 Constrained ILC Design for LTV Systems 219 8.2.1 Problem Specification 219 8.2.2 Implementation of Constrained Algorithm 1 – a Receding Horizon Approach 223 8.2.3 Constrained ILC Algorithm 3 224 8.3 Experimental Validation on a High-Speed Rack Feeder System 226 8.3.1 Simulation Case Studies 226 8.3.2 Other Performance Issues 230 8.3.3 Experimental Results 236 8.3.4 Algorithm 1: QP-Based Constrained ILC 236 8.3.5 Algorithm 2: Receding Horizon Approach-Based Constrained ILC 237 8.4 Concluding Remarks 238 9 ILC for Distributed Parameter Systems 241 9.1 Gust Load Management for Wind Turbines 241 9.1.1 Oscillatory Flow 246 9.1.2 Flow with Vortical Disturbances 251 9.1.3 Blade Conditioning Measures 253 9.1.4 Actuator Dynamics and Trial-Varying ILC 254 9.1.5 Proper Orthogonal Decomposition-Based Reduced Order Model Design 257 9.2 Design Based on Finite-Dimensional Approximate Models with Experimental Validation 266 9.3 Finite Element and Sequential Experimental Design-based ILC 280 9.3.1 Finite Element Discretization 281 9.3.2 Application of ILC 283 9.3.3 Optimal Measurement Data Selection 284 9.4 Concluding Remarks 288 10 Nonlinear ILC 289 10.1 Feedback Linearized ILC for Center-Articulated Industrial Vehicles 289 10.2 Input–Output Linearization-based ILC Applied to Stroke Rehabilitation 293 10.2.1 System Configuration and Modeling 293 10.2.2 Input–Output Linearization 296 10.2.3 Experimental Results 299 10.3 Gap Metric ILC with Application to Stroke Rehabilitation 302 10.4 Nonlinear ILC – an Adaptive Lyapunov Approach 310 10.4.1 Motivation and Background Results 311 10.5 Extremum-Seeking ILC 320 10.6 Concluding Remarks 322 11 Newton Method Based ILC 323 11.1 Background 323 11.2 Algorithm Development 324 11.2.1 Computation of Newton-Based ILC 326 11.2.2 Convergence Analysis 327 11.3 Monotonic Trial-to-Trial Error Convergence 328 11.3.1 Monotonic Convergence with Parameter Optimization 329 11.3.2 Parameter Optimization for Monotonic and Fast Trial-to-Trial Error Convergence 330 11.4 Newton ILC for 3D Stroke Rehabilitation 331 11.4.1 Experimental Results 336 11.5 Constrained Newton ILC Design 337 11.6 Concluding Remarks 347 12 Stochastic ILC 349 12.1 Background and Early Results 349 12.2 Frequency Domain-Based Stochastic ILC Design 356 12.3 Experimental Comparison of ILC Laws 364 12.4 Repetitive Process-Based Analysis and Design 378 12.5 Concluding Remarks 387 13 Some Emerging Topics in Iterative Learning Control 389 13.1 ILC for Spatial Path Tracking 389 13.2 ILC in Agriculture and Food Production 394 13.2.1 The Broiler Production Process 395 13.2.2 ILC for FCR Minimization 400 13.2.3 Design Validation 404 13.3 ILC for Quantum Control 406 13.4 ILC in the Utility Industries 410 13.4.1 ILC Design 413 13.5 Concluding Remarks 415 Appendix A 417 A.1 The Entries in the Transfer-Function Matrix (2.2) 417 A.2 Entries in the Transfer-Function Matrix (2.4) 418 A.3 Matrices E1, E2, H1, and H2 for the Designs of (7.36) and (7.37) 419 References 421 Index 437

Read more less

Book SynopsisUsing a pedagogical style along with detailed proofs and illustrative examples, this book opens a view to the largely unexplored area of nonlinear systems with uncertainties. The focus is on adaptive nonlinear control results introduced with the new recursive design methodology--adaptive backstepping.Table of ContentsSTATE FEEDBACK. Design Tools for Stabilization. Adaptive Backstepping Design. Tuning Functions Design. Modular Design with Passive Identifiers. Modular Design with Swapping Identifiers. OUTPUT FEEDBACK. Output-Feedback Design Tools. Tuning Functions Designs. Modular Designs. Linear Systems. Appendices. Bibliography. Index.

Read more less

Book SynopsisThis text presents an approach developed by the author, to handle some of the most common types of component imperfections encountered in industrial automation, consumer electronics, and defence and transportation systems.Table of ContentsDead-Zone, Backlash, and Hysteresis. Inverse Models. Fixed Inverse Compensation. Adaptive Inverse Examples. Continuous-Time Adaptive Inverse Control. Discrete-Time Adaptive Inverse Control. Fixed Inverse Control for Output Nonlinearities. Adaptive Inverse Control for Output Nonlinearities. Adaptive Control of Partially Known Systems. Adaptive Control with Input and Output Nonlinearities. Appendices. Bibliography. Index.

Read more less

Book SynopsisThe complete control system engineering solution for continuous and batch manufacturing plants. This book presents a complete methodology of control system design for continuous and batch manufacturing in such diverse areas as pulp and paper, petrochemical, chemical, food, pharmaceutical, and biochemical production.Table of ContentsIntroduction to Plant-wide Process Control. Control Engineering on Capital Projects. A Practitioner's Model for Automation and Control. Process Modeling. Single Loop Regulatory Control. Enhancements to Single Loop Regulatory Control. Multivariable Regulatory Control. Discrete Control. Batch Control. Case Study - Pulp and Paper Mill. Appendices. Glossary.

Read more less

Book SynopsisThrough its presentation of the essentials, this text is briefer than some and has been carefully edited and designed to meet the specific needs of a one-semester course at the appropriate level for a Senior.Following extensive student testing for readability and understandability, examples have been intermixed with the theory throughout the book to introduce, motivate, and extend the main text. Although readability is emphasized, proofs are provided to promote logical thinking. Finally, the author''s conversational style holds the reader''s interest while exploring several important topics that traditionally have been reserved for graduate courses. The result is that students can apply theory that is sometimes a sterile subject in other courses, and can hit the ground running in advanced courses in feedback control design, dynamics of power systems, communications, and signal processing.Trade Review"...an excellent collection of examples...a good addition to the field of linear systems..." (Int Jnl of Robust & Nonlinear Control, May 2002)Table of ContentsSolution of State-Space Equations. Transform Methods. Writing State-Space Equations. Matrices Over a Field. Vector Spaces. Similarity Transformations. Stability. Minimality via Similarity Transformations. Poles and Zeros. References. Appendix. Index.

Read more less

Book SynopsisHow to manage the most important part of a city's internal infrastructure--its sewer systems The operation and maintenance of modern sewer systems have not kept pace with technological revolutions everywhere--until now.Table of ContentsEvolution of Infrastructure Management: Modern Automation for theSewer Systems. Basic Instrumentation and Fundamental Flow Measurement. System Layout: Choosing the Points of Interest. System Definition: Components of a Sewer Infrastructure. Hydrology and Climatic Effects on Infrastructures andSystems. Installation and Functions of the Monitoring System. Equipment and Service Selection. Use and Application of the Data. Enhancements to the Sewer Infrastructure Monitoring System. Funding and Justification of Sewer Infrastructure ManagementSystems. Bibliography. Index.

Read more less

Book SynopsisA comprehensive treatment of model-based fuzzy control systems This volume offers full coverage of the systematic framework for the stability and design of nonlinear fuzzy control systems.Trade Review“…interesting as a source of new ideas leading to applied solutions” (International Journal of Adaptive Control and Signal Processing, Vol.19, No.1, February 2005)Table of ContentsPreface. Acronyms. Introduction. Takagi-Sugeno Fuzzy Model and Parallel Distributed Compensation. LMI Control Performance Conditions and Designs. Fuzzy Observer Design. Robust Fuzzy Control. Optimal Fuzzy Control. Robust-Optimal Fuzzy Control. Trajectory Control of a Vehicle with Multiple Trailers. Fuzzy Modeling and Control of Chaotic Systems. Fuzzy Descriptor Systems and Control. Nonlinear Model Following Control. New Stability Conditions and Dynamic Feedback Designs. Multiobjective Control via Dynamic Parallel Distributed Compensation. T-S Fuzzy Model as Universal Approximator. Fuzzy Control of Nonlinear Time-Delay Systems. Index.

Read more less

Book SynopsisExamining a specialised part of neural networks, with applications in control, signal processing and time series analysis, this title provides an up-to-date treatment of a class of nonlinear dynamical systems using feed forward neural network structures.Trade Review"…an interesting book, useful for researchers in network theory…" (Dynamical Systems Magazine, July 2006)Table of ContentsPreface. Feedforward Neural Networks: An Introduction (S. Haykin). Uniform Approximation and Nonlinear Network Structures (I. Sandberg). Robust Neural Networks (J. Lo). Modeling, Segmentation, and Classification of Nonlinear Nonstationary Time Series (C. Fancourt & J. Principe). Application of Feedforward Networks to Speech (S. Katagiri). Index.

Read more less

Book SynopsisThis volume introduces the reader to the world of positive linear systems, an important and fascinating class of linear systems. The subject matter is divided into three parts, including definitions and basic properties of liner systems, theoretical results, and the study of some classes of positive linear systems relevant in applications.Trade Review"Explores a class of linear dynamical systems called positivelinear systems whose state variables take only non-negativevalues." (SciTech Book News,Vol. 24, No. 4, December 2000) "The exposition of the topics is consistent and clear. The book isaddressed to graduate students, scientists and engineers incontrol." (Mathematical Reviews, Issue 2001g) "This book gives an interesting overview of results regardingsingle-input single-output, time-invariant, finite-dimensionallinear poitive systems." (Mathematical Reviews, 2001g:93001) "There are lots of things to like about this book. In particular, Iliked the appendix on element so f linear systems theory.... Thenthere is the clear enthusiasm of the authors for thesubject...useful for self study or as a supplement in a moreadvanced course..." (SIAM Review, Vol. 43, No. 3) "Very well-written and well-organized suitable for students whohave had a first course in differential equations." (AmericanMathematical Monthly, January 2002) "...the authors really succeed in conveying their enthusiasm andthe flavor of the subject..." (Zentralblatt Math, Vol.988, No.13,2002)Table of ContentsDEFINITIONS. Definitions and Conditions of Positivity. Influence Graphs. Irreducibility, Excitability and Transparency. PROPERTIES. Stability. Spectral Characterization of Irreducible Systems. Positivity of Equilibria. Reachability and Observability. Realization. Minimum Phase. Interconnected Systems. APPLICATIONS. Input-Output Analysis. Age-Structured Population Models. Markov Chains. Compartmental Systems. Queueing Systems. Conclusions. Annotated Bibliography. Bibliography. Appendices. Index.

Read more less

Book SynopsisThis book describes the use of neural networks and fuzzy methods for identifying and controlling nonlinear dynamical systems. It combines advanced concepts from traditional control theory with the intuitive properties of intelligent systems to solve real-world control problems.Trade Review"…well-organized…very useful for a graduate level control or intelligent systems course…" (International Journal of Robust and Nonlinear Control, January 2005) “…the text is well organised with topics judiciously selected to build on each other…the discussion and motivations are rigorous…” (International Journal of Robust & Nonlinear Control, Vol.15, No.1, 10th January 2005) "...this is an excellent book. It is pedagogically sound and, hence, suitable as a text for graduate courses.... I recommend it also as a very valuable resource to practitioners..." (International Journal of General Systems, Vol. 32, 2003)Table of ContentsIntroduction. PART I: FOUNDATIONS. Mathematical Foundations. Neural Networks and Fuzzy Systems. Optimization for Training Approximators. Function Approximation. PART II: STATE-FEEDBACK CONTROL. Control of Nonlinear Systems. Direct Adaptive Control. Indirect Adaptive Control. Implementations and Comparative Studies. PART III:OUTPUT-FEEDBACK CONTROL. Output-Feedback Control. Adaptive Output Feedback Control. Applications. PART IV: EXTENSIONS. Discrete-Time Systems. Decentralized Systems. Perspectives on Intelligent Adaptive Systems. For Further Study. Bibliography. Index.

Read more less