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Learning-Based Adaptive Control: An Extremum Seeking Approach - Theory and Applications

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by Mouhacine Benosman
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Learning-Based Adaptive Control: An Extremum Seeking Approach - Theory and Applications by Mouhacine Benosman

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.

  • Includes a good number of Mechatronics Examples of the techniques.
  • Compares and blends Model-free and Model-based learning algorithms.
  • Covers fundamental concepts, state-of-the-art research, necessary tools for modeling, and control.

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Ebook Details
Pages: 282
Size: 23.1 MB
Publisher: Butterworth-Heinemann
Date published:   2016
ISBN: 2370007589364 (DRM-EPUB)
9780128031513 (DRM-PDF)

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Nonfiction > Technology > Engineering > Mechanical

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