Robust Nonlinear Control Design: State-Space and Lyapunov Techniques (Systems & Control: Foundations and Applications) - Hardcover

Freeman, F.A.; Kokotovic, P.V.

 
9780817639303: Robust Nonlinear Control Design: State-Space and Lyapunov Techniques (Systems & Control: Foundations and Applications)

Inhaltsangabe

Presenting advances in the theory and design of robust nonlinear control systems, this volume identifies two potential sources of excessive control effort in Lyapunov design techniques and shows how such effort can be greatly reduced. Within the framework of Lyapunov design techniques the authors develop a variety of control design methods suitable for systems described by low-order nonlinear ordinary differential equations. There is an emphasis on global controller designs, that is designs for the entire region of model validity.

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Críticas

"The text is practically self-contained. The authors offer all necessary definitions and give a comprehensive introduction. Only the most basic knowledge of nonlinear analysis and design tools is required, including Lyapunov stability theory and optimal control. The authors also provide a review of set-valued maps for those readers who are not familiar with set-valued analysis. The book is intended for graduate students and researchers in control theory, serving as both a summary of recent results and a source of new research problems. In the opinion of this reviewer the authors do succeed in attaining these objectives."   ―Mathematical Reviews

Reseña del editor

This softcover book summarizes Lyapunov design techniques for nonlinear systems and raises important issues concerning large-signal robustness and performance. The authors have been the first to address some of these issues, and they report their findings in this text. The researcher who wishes to enter the field of robust nonlinear control could use this book as a source of new research topics. For those already active in the field, the book may serve as a reference to a recent body of significant work. Finally, the design engineer faced with a nonlinear control problem will benefit from the techniques presented here.

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