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2010, ISBN: 9781849965842

[ED: Softcover], [PU: Springer, Berlin], Modern aerospace, automotive, nautical, industrial, microsystem-assembly and robotic systems are becoming more and more complex. High-performance vehicles no longer have built-in error safety margins, but are inherently unstable by design to allow for more flexible maneuvering options. With the push towards better performance in terms of greater accuracy and faster speed of response, control demands are increasing. The combination of highly nonlinear dynamics, relaxed static stability, and tight performance specifications places increasing demands on the design of feedback systems for control. Current control system design techniques have difficulty in meeting these demands. In this book the authors present algorithms for H2 and H-infinity design for nonlinear systems which, unlike earlier theories, provide solution techniques for the core Hamilton Jacobi equations that yield control systems which can be implemented in real systems neural networks are used to solve the nonlinear control design equations. Industrial and aerospace systems usually have constraints on the amplitudes of the control actuator inputs so techniques are set out for dealing with these. All results are proven mathematically to give confidence and performance guarantees and the design algorithms can be used to obtain practically useful controllers. Nearly optimal applications to constrained-state and mimimum-time problems are also discussed and since control systems are usually implemented using computer microprocessors, a chapter is devoted to discrete-time design to yield digital controllers. Nonlinear H2/H-infinity Constrained Feedback Control will be of major importance to control systems designers working in industrial, automotive, robotic, military and chemical process systems. Design and simulation case studies are given and the design of nonlinear control systems of the same caliber as those obtained in recent years using linear optimal and bounded-norm designs based on the Riccati equation is explained together with feedback control systems of guaranteed high performance that can be implemented directly as a nonlinear network structure. With its opening chapter introducing such necessary control system foundations as Lyapunov theory, passivity and game theory, the book will also be of great interest to academics and their graduate students in control systems as a complete foundation for H2 and H-infinity design. This book provides techniques to produce robust, stable and useable solutions to problems of H-infinity and H2 control in high-performance, non-linear systems for the first time. The book is of importance to control designers working in a variety of industrial systems. Case studies are given and the design of nonlinear control systems of the same caliber as those obtained in recent years using linear optimal and bounded-norm designs is explained. 2010. xx, 204 S. 2 Tabellen. 235 mm Versandfertig in 3-5 Tagen, DE, [SC: 0.00], Neuware, gewerbliches Angebot, offene Rechnung (Vorkasse vorbehalten)

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Nonlinear H2/H-Infinity Constrained Feedback Control: A Practical Design Approach Using Neural Networks

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ISBN: 9781849965842

ID: 978184996584

Modern aerospace, automotive, nautical, industrial, microsystem-assembly and robotic systems are becoming more and more complex. High-performance vehicles no longer have built-in error safety margins, but are inherently unstable by design to allow for more flexible maneuvering options. With the push towards better performance in terms of greater accuracy and faster speed of response, control demands are increasing. The combination of highly nonlinear dynamics, relaxed static stability, and tight performance specifications places increasing demands on the design of feedback systems for control. Current control system design techniques have difficulty in meeting these demands.In this book the authors present algorithms for H2 and H-infinity design for nonlinear systems which, unlike earlier theories, provide solution techniques for the core Hamilton-Jacobi equations that yield control systems which can be implemented in real systems; neural networks are used to solve the nonlinear control design equations. Industrial and aerospace systems usually have constraints on the amplitudes of the control actuator inputs so techniques are set out for dealing with these. All results are proven mathematically to give confidence and performance guarantees and the design algorithms can be used to obtain practically useful controllers. Nearly optimal applications to constrained-state and mimimum-time problems are also discussed and since control systems are usually implemented using computer microprocessors, a chapter is devoted to discrete-time design to yield digital controllers.Nonlinear H2/H-infinity Constrained Feedback Control will be of major importance to control systems designers working in industrial, automotive, robotic, military and chemical process systems. Design and simulation case studies are given and the design of nonlinear control systems of the same caliber as those obtained in recent years using linear optimal and bounded-norm designs based on the Riccati equation is explained together with feedback control systems of guaranteed high performance that can be implemented directly as a nonlinear network structure. With its opening chapter introducing such necessary control system foundations as Lyapunov theory, passivity and game theory, the book will also be of great interest to academics and their graduate students in control systems as a complete foundation for H2 and H-infinity design. Murad Abu-Khalaf, Jie Huang, Frank L. Lewis, Books, Science and Nature, Nonlinear H2/H-Infinity Constrained Feedback Control: A Practical Design Approach Using Neural Networks Books>Science and Nature, Springer London

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Nonlinear H2/H-Infinity Constrained Feedback Control als Buch von Murad Abu-Khalaf, Jie Huang, Frank L. Lewis

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2006, ISBN: 9781849965842

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Nonlinear H2/H-Infinity Constrained Feedback Control:A Practical Design Approach Using Neural Networks Advances in Industrial Control. Softcover reprint of hardcover 1st ed. 2006 Murad Abu-Khalaf, Jie Huang, Frank L. Lewis Nonlinear H2/H-Infinity Constrained Feedback Control:A Practical Design Approach Using Neural Networks Advances in Industrial Control. Softcover reprint of hardcover 1st ed. 2006 Murad Abu-Khalaf, Jie Huang, Frank L. Lewis Bücher > Wissenschaft > Technik, Springer London

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Nonlinear H2/H-Infinity Constrained Feedback Control als Buch von Murad Abu-Khalaf, Jie Huang, Frank L. Lewis

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2006, ISBN: 9781849965842

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Nonlinear H2/H-Infinity Constrained Feedback Control ab 140.49 EURO A Practical Design Approach Using Neural Networks Advances in Industrial Control. Softcover reprint of hardcover 1st ed. 2006 Nonlinear H2/H-Infinity Constrained Feedback Control ab 140.49 EURO A Practical Design Approach Using Neural Networks Advances in Industrial Control. Softcover reprint of hardcover 1st ed. 2006 Bücher > Wissenschaft > Technik

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ISBN: 9781849965842

ID: 9781849965842

Engineering; Control; Electrical Engineering; Automotive Engineering; Industrial and Production Engineering; Artificial Intelligence (incl. Robotics); Industrial Chemistry/Chemical Engineering Constrained Control, Control, Control Applications, Control Engineering, Feedback Control, H-Infinity Control, Neural Networks, Nonlinear Control, actuator, algorithms, microprocessor, robot, safety Books, Springer Nature

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** Details of the book - Nonlinear H2/H-Infinity Constrained Feedback Control**

EAN (ISBN-13): 9781849965842

ISBN (ISBN-10): 1849965846

Hardcover

Paperback

Publishing year: 2010

Publisher: Springer-Verlag GmbH

224 Pages

Weight: 0,345 kg

Language: eng/Englisch

Book in our database since 02.05.2011 19:12:51

Book found last time on 03.12.2017 12:46:27

ISBN/EAN: 1849965846

ISBN - alternate spelling:

1-84996-584-6, 978-1-84996-584-2

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