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Adaptive Control : Stability, Convergence and Robustness

Adaptive Control : Stability, Convergence and Robustness

PAPERBACK

14 Sep, 2011

By Shankar Sastry (author), Marc Bodson (author)

With a focus on linear, continuous time, single-input, single-output systems, this volume surveys the major results and techniques of analysis in the field...

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Last updated on 12 Jan, 2026

ISBN-10:

0486482022

ISBN-13:

9780486482026

Publisher

Dover Publications

Dimensions

8.90 X 5.90 X 0.90 inches

Language

English

Description

With a focus on linear, continuous time, single-input, single-output systems, this volume surveys the major results and techniques of analysis in the field of adaptive control. The authors offer a clear, conceptual presentation of adaptive methods, enabling a critical evaluation of these techniques and suggesting avenues of further development.
A brief historical overview of adaptive control is followed by a review of mathematical preliminaries and the development of several adaptive identification algorithms. Succeeding chapters examine averaging techniques, the robustness of adaptive schemes, and advanced topics -- including the use of prior information and multivariable adaptive control -- followed by a concise introduction to the control of a class of nonlinear systems. The treatment is largely self-contained, assuming only some graduate-level background in basic control systems and in linear systems theory.

Product Details

ISBN-10

:0486482022

ISBN-13

:9780486482026

Publisher

:Dover Publications

Publication date

: 14 Sep, 2011

Category

: Technology & Engineering

Sub-Category

: Robotics

Format

:PAPERBACK

Language

:English

Reading Level

: All

Dimension

: 8.90 X 5.90 X 0.90 inches

Weight

:500 g

About the Author

S. Shankar Sastry is the Dean of Engineering at the University of California, Berkeley. He is also the University's Professor of Electrical Engineering, Computer Science, and Bioengineering.
Marc Bodson is Professor of Electrical Engineering and Computer Science at the University of Utah. He has also taught at Carnegie Mellon University.

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