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.

• Format: Paperback
• Language: English
• ISBN: 0128031360
• ISBN13: 9780128031360
• Release Date: July 2016
• Publisher: Butterworth-Heinemann
• Length: 282 Pages
• Weight: 0.97 lbs.
• Dimensions: 0.7" x 5.9" x 8.9"