Learning-Based Adaptive Control
  • Release Date : 02 August 2016
  • Publisher : Butterworth-Heinemann
  • Genre : Technology & Engineering
  • Pages : 282 pages
  • ISBN 13 : 9780128031513
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Download or read book entitled Learning-Based Adaptive Control by author: Mouhacine Benosman which was release on 02 August 2016 and published by Butterworth-Heinemann with total page 282 pages . This book available in PDF, EPUB and Kindle Format. 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.