Nonlinear H2/H [infinity] constrained feedback control : a practical design approach using neural networks
 Responsibility
 Murad AbuKhalaf, Jie Huang and Frank L. Lewis.
 Imprint
 London : SpringerVerlag, c2006.
 Physical description
 xx, 203 p. : ill. ; 25 cm.
 Series
 Advances in industrial control.
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TJ217 .A28 2006  Available 
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Description
Creators/Contributors
 Author/Creator
 AbuKhalaf, Murad.
 Contributor
 Huang, Jie, 1955
 Lewis, Frank L.
Contents/Summary
 Bibliography
 Includes bibliographical references and index.
 Contents

 Preliminaries and Introduction. Policy Iterations and H2 Constrained State Feedback Control. Nearly H2 Optimal Neural Network for Constrained Input Systems. Policy Iterations and Hinfinity Constrained State Feedback Control. Nearly Hinfinity Optimal Neural Network for Constrained Input Systems. Taylor Series Approach to Solving HJI Equation. An Algorithm to Solve Discrete HJI Equation Arising from Discrete Nonlinear Hinfinity Control Problem. Hinfinity Static Output Feedback.
 (source: Nielsen Book Data)
 Publisher's summary

Modern aerospace, automotive, nautical, industrial, microsystemassembly and robotic systems are becoming more and more complex. Highperformance vehicles no longer have builtin 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 Hinfinity design for nonlinear systems which, unlike earlier theories, provide solution techniques for the core HamiltonJacobi 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 constrainedstate and mimimumtime problems are also discussed and since control systems are usually implemented using computer microprocessors, a chapter is devoted to discretetime design to yield digital controllers. Nonlinear H2/Hinfinity Constrained Feedback Control will be of major importance to control systems designersworking 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 boundednorm 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 Hinfinity design.
(source: Nielsen Book Data)
 Publisher's summary

The authors present algorithms for H2 and Hinfinity design for nonlinear systems which provide solution techniques which can be implemented in real systems; neural networks are used to solve the nonlinear control design equations. Constraints on the control actuator inputs are dealt with. Results are proven to give confidence and performance guarantees. The algorithms can be used to obtain practical controllers. Nearly optimal applications to constrainedstate and mimimumtime problems are discussed as is discretetime design for digital controllers. "Nonlinear H2/Hinfinity Constrained Feedback Control" 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 boundednorm designs is explained. The book will also be of interest to academics and graduate students in control systems as a complete foundation for H2 and Hinfinity design.
(source: Nielsen Book Data)
Subjects
 Subjects
 Control theory.
 Automatic control.
Bibliographic information
 Publication date
 2006
 Series
 Advances in industrial control, 14309491
 ISBN
 1846283493 (hd. bd.)
 9781846283499
 1846283507 (eisbn)
 9781846283505 (eisbn)