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Learning-Based Adaptive Control

An Extremum Seeking Approach – Theory and Applications

  • 1st Edition - July 11, 2016
  • Author: Mouhacine Benosman
  • Language: English
  • Paperback ISBN:
    9 7 8 - 0 - 1 2 - 8 0 3 1 3 6 - 0
  • eBook ISBN:
    9 7 8 - 0 - 1 2 - 8 0 3 1 5 1 - 3

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 sp… Read more

Learning-Based Adaptive Control

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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.