Nonlinear and Adaptive Control Design

by Miroslav Krstic, Ioannis Kanellakopoulos, Petar V. Kokotovic

Overview

Using 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. Describes basic tools for nonadaptive backstepping design with state and output feedbacks.

Product Details

ISBN-13:	9780471127321
Publisher:	Wiley
Publication date:	06/14/1995
Series:	Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control , #7
Pages:	592
Product dimensions:	6.36(w) x 9.74(h) x 1.78(d)

About the Author

MIROSLAV KRSTÍC received his PhD from the University of California, Santa Barbara, in 1994 where he is currently a researcher in the Department of Electrical and Computer Engineering.

IOANNIS KANELLAKOPOULOS received his PhD in electrical engineering from the University of Illinois in 1992 and is presently an assistant professor in the Department of Electrical Engineering at the University of California, Los Angeles.

PETAR KOKOTOVI has been Co-Director of the Center for Control Engineering and Computation at the University of California, Santa Barbara, since 1991. Previously, he was with the University of Illinois, where he held the Grainger Chair. His recognition as a leading authority in control theory includes the triennial Quazza Medal by IFAC in 1990 and the 1995 IEEE Control Systems Award.

Table of Contents

STATE 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.

Editorial Reviews

Written for an audience with a standard undergraduate background in control theory and a basic knowledge of stability concepts. Focuses on designs for systems with uncertainties and introduces the recursive backstepping methodology for controlling uncertain systems with severe nonlinearities. Provides detailed proofs and examples on subjects including nonlinear stabilization, adaptive backstepping, adaptive Lyapunov design, estimation-based design, and control of linear systems. For use as a stand-alone or supplemental text. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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