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Learning-Based Adaptive Control

An Extremum Seeking Approach – Theory and Applications

Specificaties
Paperback, blz. | Engels
Elsevier Science | e druk, 2016
ISBN13: 9780128031360
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Elsevier Science e druk, 2016 9780128031360
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Samenvatting

Adaptive control has been one of the main problems studied in control theory. The subject is well understood, yet it has a very active research frontier. This book focuses on a specific subclass of adaptive control, namely, learning-based adaptive control. As systems evolve during time or are exposed to unstructured environments, it is expected that some of their characteristics may change. This book offers a new perspective about how to deal with these variations. By merging together Model-Free and Model-Based learning algorithms, the author demonstrates, using a number of mechatronic examples, how the learning process can be shortened and optimal control performance can be reached and maintained.

Specificaties

ISBN13:9780128031360
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

<p>1. Some Mathematical Tools<br>2. Adaptive Control: An Overview<br>3. Extremum Seeking-Based Iterative Feedback Gains Tuning Theory<br>4. Extremum Seeking-Based Indirect Adaptive Control<br>5. Extremum Seeking-Based Real-Time Parametric Identification for Nonlinear Systems<br>6. Extremum Seeking-Based Iterative Learning Model Predictive Control (ESILC-MPC)</p>

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        Learning-Based Adaptive Control