Adaptive control : Stability, convergence and robustness
By: Sastry, Shankar
.
Contributor(s): Bodson, Marc.
Publisher: New York Dover Publications 2011Edition: 1st.Description: xv, 381p. | Binding - Paperback | 22.5*15.2 cm.ISBN: 9780486482026.Subject(s): Mechanical EngineeringDDC classification: 629.836 Online resources: Google Book Preview Summary: 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.
| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|
Text Books
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School of Engineering & Technology Reference Section | Reference | 629.836 SAS/BOD (Browse shelf) | Available | E14660 |
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| 629.83 JOH Process Control Instrumentation Technology | 629.8312 KUM Modeling and Control of Vehicular and Robotic Systems | 629.8323 VAL Basic Synchros & Servomechanism | 629.836 SAS/BOD Adaptive control | 629.89 CHI Computer Control of Processes | 629.89 KAR/KAR Getting started with sensors | 629.892 CRA Introduction to robotics |
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.
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