Learning-Based Adaptive Control: An Extremum Seeking Approach ?û Theory And Applications

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.

• | Author: Mouhacine Benosman
• | Publisher: Butterworth-Heinemann
• | Publication Date: Jul 11, 2016
• | Number of Pages: 282 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 0128031360
• | ISBN-13: 9780128031360