Learningbased Adaptive Control An Extremum Seeking Approach Theory And Applications 1st Edition Mouhacine Benosman by Mouhacine Benosman 9780128031360, 9780128031513, 0128031360, 0128031514 instant download after payment.

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.