Learning based Adaptive Control

  • Author : Mouhacine Benosman
  • Publsiher : Butterworth-Heinemann
  • Release : 11 July 2016
  • ISBN : 0128031360
  • Page : 282 pages
  • Rating : 4/5 from 21 voters

Download or read online book entitled Learning based Adaptive Control written by Mouhacine Benosman and published by Butterworth-Heinemann. This book was released on 11 July 2016 with total page 282 pages. Available in PDF, EPUB and Kindle. Get best books that you want by click Get Book Button and Read as many books as you like. Book Excerpt : 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.

Learning based Adaptive Control

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