Learning-Based Adaptive Control : An Extremum Seeking Approach - Theory and Applications Paperback / softback
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 / softback
- Pages: 282 pages
- Publisher: Elsevier - Health Sciences Division
- Publication Date: 11/07/2016
- Category: Mechanical engineering
- ISBN: 9780128031360