Adaptive Control: Stability, Convergence and Robustness (Dover Books on Electrical Engineering)

Marc Notes:
Includes bibliographical references and index.

Table of Contents:
PrefaceIntroduction1. Preliminaries2. Identification3. Adaptive Control4. Parameter Convergence Using Averaging Techniques5. Robustness6. Advanced Topics in Identification and Adaptive Control7. Adaptive Control of a class of Nonnlinear Systems8. ConclusionAppendixReferencesIndexErrata

Biographical Note:
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.

Publisher Marketing:
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.