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Hybrid computers. --- Calculateurs hybrides --- Hybrid computers --- Computer Science --- Engineering & Applied Sciences --- Computer science. --- Special purpose computers. --- Architecture, Computer. --- Software engineering. --- Computers. --- Artificial intelligence. --- Complexity, Computational. --- Computer Science. --- Theory of Computation. --- Computer System Implementation. --- Artificial Intelligence (incl. Robotics). --- Software Engineering. --- Special Purpose and Application-Based Systems. --- Complexity. --- Informatics --- Science --- Complexity, Computational --- Electronic data processing --- Machine theory --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Computer software engineering --- Engineering --- Architecture, Computer --- Special purpose computers --- Computers --- Information theory. --- Computer network architectures. --- Engineering. --- Artificial Intelligence. --- Construction --- Industrial arts --- Technology --- Architectures, Computer network --- Network architectures, Computer --- Computer architecture --- Communication theory --- Communication --- Computational complexity.
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Hybrid systems. --- Dynamic systems, Hybrid --- Hybrid dynamic systems --- System theory
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Classical mechanics. Field theory --- Applied physical engineering --- Engineering sciences. Technology --- Mass communications --- Information systems --- procesautomatisering --- ICT (informatie- en communicatietechnieken) --- embedded systems --- informatiesystemen --- systeemtheorie --- systeembeheer --- communicatietechnologie --- dynamica --- regeltechniek
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A graduate-level textbook, Hybrid Dynamical Systems provides an accessible and comprehensive introduction to the theory of hybrid systems. It emphasizes results that are central to a good understanding of the importance and role of such systems. The authors have developed the materials in this book while teaching courses on hybrid systems, cyber-physical systems, and formal methods. This textbook helps students to become familiar with both the major approaches coloring the study of hybrid dynamical systems. The computer science and control systems points of view - emphasizing discrete dynamics and real time, and continuous dynamics with switching, respectively - are each covered in detail. The book shows how the behavior of a system with tightly coupled cyber- (discrete) and physical (continuous) elements can best be understood by a model simultaneously encompassing all the dynamics and their interconnections. The theory presented is of fundamental importance in a wide range of emerging fields from next-generation transportation systems to smart manufacturing. Features of the text include: extensive use of examples to illustrate the main concepts and to provide insights additional to those acquired from the main text; chapter summaries enabling students to assess their progress; end-of-chapter exercises, which test learning as a course proceeds; an instructor's guide showing how different parts of the book can be exploited for different course requirements; and a solutions manual, freely available for download by instructors adopting the book for their teaching. Access to MATLAB and Stateflow is not required but would be beneficial, especially for exercises in which simulations are a key tool.
Electrical engineering --- Engineering sciences. Technology --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- mechatronica --- industriële robots --- automatisering --- informatica --- systeemtheorie --- robots --- automatische regeltechniek
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Increasing complexity in engineering projects raises difficult challenges in industry and requires effective tools for correct-by-construction design or design verification. This book addresses the design of such tools for correct-by-construction synthesis of supervisors for systems and specifications represented in the discrete-event framework. The approach employed uses Petri nets as discrete-event models and structural methods for the synthesis of supervisors, and may lead to significant computational benefits. Highlighting recent progress in the design of supervisors by structural methods, the book represents a novel contribution to the field. One of the main features of the presentation is the demonstration that structural methods can address a variety of supervisor specifications under diverse supervision settings. Additional features of the text: * Applications of the methods presented are emphasized by considering various concurrency assumptions as well as types of system uncontrollability and unobservability. * Treatment of the supervision problem for decentralized settings and hybrid dynamical systems. * A focus on both theory and practice: formal proofs are provided in a sound mathematical setting to guarantee performance and correctness; at the same time, the authors have worked out the relevant details to ensure the methods are ready to implement in software. * Many of the presented methods have been realized in software as functions of a MATLAB toolbox, which have been used to solve many of the examples of the book. The work is self-contained and includes necessary background on Petri nets and supervision. Requiring only basic knowledge of undergraduate-level discrete mathematics, the text is accessible to a broad audience. Researchers and developers from various engineering fields may find effective means to reduce the complexity of design problems in the discrete-event setting. Graduate students may use the work as a self-study reference, and portions of the text may be used in advanced courses on discrete-event systems. .
Supervisory control systems. --- Parallel processing (Electronic computers) --- Petri nets. --- Graph theory --- Nets (Mathematics) --- High performance computing --- Multiprocessors --- Parallel programming (Computer science) --- Supercomputers --- Control systems, Supervisory --- SCADA systems --- Supervisory control and data acquisition systems --- Process control --- Remote control --- Industrial engineering. --- Engineering mathematics. --- Systems theory. --- Mathematics. --- Computer simulation. --- Control and Systems Theory. --- Industrial and Production Engineering. --- Mathematical and Computational Engineering. --- Systems Theory, Control. --- Applications of Mathematics. --- Simulation and Modeling. --- System theory. --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Math --- Science --- Engineering --- Engineering analysis --- Mathematical analysis --- Management engineering --- Simplification in industry --- Value analysis (Cost control) --- Systems, Theory of --- Systems science --- Mathematics --- Philosophy --- Control engineering. --- Production engineering. --- Applied mathematics. --- Manufacturing engineering --- Process engineering --- Industrial engineering --- Mechanical engineering --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Automation --- Programmable controllers
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Based on a streamlined presentation of the authors' successful work Linear Systems, this textbook provides an introduction to systems theory with an emphasis on control. The material presented is broad enough to give the reader a clear picture of the dynamical behavior of linear systems as well as their advantages and limitations. Fundamental results and topics essential to linear systems theory are emphasized. The emphasis is on time-invariant systems, both continuous- and discrete-time. Key features and topics: * Notes, references, exercises, and a summary and highlights section at the end of each chapter. * Comprehensive index and answers to selected exercises at the end of the book. * Necessary mathematical background material included in an appendix. * Helpful guidelines for the reader in the preface. * Three core chapters guiding the reader to an excellent understanding of the dynamical behavior of systems. * Detailed coverage of internal and external system descriptions, including state variable, impulse response and transfer function, polynomial matrix, and fractional representations. * Explanation of stability, controllability, observability, and realizations with an emphasis on fundamental results. * Detailed discussion of state-feedback, state-estimation, and eigenvalue assignment. * Emphasis on time-invariant systems, both continuous- and discrete-time. For full coverage of time-variant systems, the reader is encouraged to refer to the companion book Linear Systems, which contains more detailed descriptions and additional material, including all the proofs of the results presented here. * Solutions manual available to instructors upon adoption of the text. A Linear Systems Primer is geared towards first-year graduate and senior undergraduate students in a typical one-semester introductory course on systems and control. It may also serve as an excellent reference or self-study guide for electrical, mechanical, chemical, and aerospace engineers, applied mathematicians, and researchers working in control, communications, and signal processing. Also by the authors: Linear Systems, ISBN 978-0-8176-4434-5.
Linear systems. --- Control theory. --- Dynamics --- Machine theory --- Systems, Linear --- Differential equations, Linear --- System theory --- System theory. --- Vibration. --- Engineering mathematics. --- Control and Systems Theory. --- Control, Robotics, Mechatronics. --- Systems Theory, Control. --- Signal, Image and Speech Processing. --- Vibration, Dynamical Systems, Control. --- Mathematical and Computational Engineering. --- Engineering --- Engineering analysis --- Mathematical analysis --- Cycles --- Mechanics --- Sound --- Systems, Theory of --- Systems science --- Science --- Mathematics --- Philosophy --- Systems theory. --- Control engineering. --- Robotics. --- Mechatronics. --- Signal processing. --- Image processing. --- Speech processing systems. --- Dynamical systems. --- Dynamics. --- Applied mathematics. --- Dynamical systems --- Kinetics --- Mechanics, Analytic --- Force and energy --- Physics --- Statics --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers
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"There are three words that characterize this work: thoroughness, completeness and clarity. The authors are congratulated for taking the time to write an excellent linear systems textbook! …The authors have used their mastery of the subject to produce a textbook that very effectively presents the theory of linear systems as it has evolved over the last thirty years. The result is a comprehensive, complete and clear exposition that serves as an excellent foundation for more advanced topics in system theory and control." —IEEE Transactions on Automatic Control "In assessing the present book as a potential textbook for our first graduate linear systems course, I find...[that] Antsaklis and Michel have contributed an expertly written and high quality textbook to the field and are to be congratulated…. Because of its mathematical sophistication and completeness the present book is highly recommended for use, both as a textbook as well as a reference." —Automatica Linear systems theory plays a broad and fundamental role in electrical, mechanical, chemical and aerospace engineering, communications, and signal processing. A thorough introduction to systems theory with emphasis on control is presented in this self-contained textbook. The book examines the fundamental properties that govern the behavior of systems by developing their mathematical descriptions. Linear time-invariant, time-varying, continuous-time, and discrete-time systems are covered. Rigorous development of classic and contemporary topics in linear systems, as well as extensive coverage of stability and polynomial matrix/fractional representation, provide the necessary foundation for further study of systems and control. Linear Systems is written as a textbook for a challenging one-semester graduate course; a solutions manual is available to instructors upon adoption of the text. The book’s flexible coverage and self-contained presentation also make it an excellent reference guide or self-study manual. ******* For a treatment of linear systems that focuses primarily on the time-invariant case using streamlined presentation of the material with less formal and more intuitive proofs, see the authors’ companion book entitled A Linear Systems Primer.
Linear control systems --- Control theory --- Signal processing --- Mathematical control systems --- Ordinary differential equations --- Linear control systems. --- Control theory. --- Signal processing. --- Processing, Signal --- Engineering. --- System theory. --- Computer mathematics. --- Vibration. --- Dynamical systems. --- Dynamics. --- Control engineering. --- Robotics. --- Mechatronics. --- Electronic circuits. --- Control. --- Circuits and Systems. --- Vibration, Dynamical Systems, Control. --- Control, Robotics, Mechatronics. --- Systems Theory, Control. --- Computational Science and Engineering. --- Information measurement --- Signal theory (Telecommunication) --- Dynamics --- Machine theory --- Automatic control --- Systems engineering. --- Systems theory. --- Computer science. --- Control and Systems Theory. --- Engineering systems --- System engineering --- Engineering --- Industrial engineering --- System analysis --- Informatics --- Science --- Cycles --- Mechanics --- Sound --- Systems, Theory of --- Systems science --- Design and construction --- Philosophy --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Physics --- Statics --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Electronics --- Control engineering --- Control equipment --- Engineering instruments --- Automation --- Programmable controllers --- Computer mathematics --- Electronic data processing --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems
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Based on a streamlined presentation of the authors' successful work Linear Systems, this textbook provides an introduction to systems theory with an emphasis on control. The material presented is broad enough to give the reader a clear picture of the dynamical behavior of linear systems as well as their advantages and limitations. Fundamental results and topics essential to linear systems theory are emphasized. The emphasis is on time-invariant systems, both continuous- and discrete-time. Key features and topics: * Notes, references, exercises, and a summary and highlights section at the end of each chapter. * Comprehensive index and answers to selected exercises at the end of the book. * Necessary mathematical background material included in an appendix. * Helpful guidelines for the reader in the preface. * Three core chapters guiding the reader to an excellent understanding of the dynamical behavior of systems. * Detailed coverage of internal and external system descriptions, including state variable, impulse response and transfer function, polynomial matrix, and fractional representations. * Explanation of stability, controllability, observability, and realizations with an emphasis on fundamental results. * Detailed discussion of state-feedback, state-estimation, and eigenvalue assignment. * Emphasis on time-invariant systems, both continuous- and discrete-time. For full coverage of time-variant systems, the reader is encouraged to refer to the companion book Linear Systems, which contains more detailed descriptions and additional material, including all the proofs of the results presented here. * Solutions manual available to instructors upon adoption of the text. A Linear Systems Primer is geared towards first-year graduate and senior undergraduate students in a typical one-semester introductory course on systems and control. It may also serve as an excellent reference or self-study guide for electrical, mechanical, chemical, and aerospace engineers, applied mathematicians, and researchers working in control, communications, and signal processing. Also by the authors: Linear Systems, ISBN 978-0-8176-4434-5.
Linear systems --- Control theory --- Systèmes linéaires --- Théorie de la commande --- EPUB-LIV-FT SPRINGER-B LIVINGEN --- 512.64 --- 519.71 --- Systems, Linear --- Differential equations, Linear --- System theory --- 519.71 Control systems theory: mathematical aspects --- Control systems theory: mathematical aspects --- 512.64 Linear and multilinear algebra. Matrix theory --- Linear and multilinear algebra. Matrix theory
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