Learning-Based Adaptive Control - An Extremum Seeking Approach - Theory and Applications (Paperback)

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.

General

Imprint:	Butterworth-Heinemann
Country of origin:	United States
Release date:	July 2016
First published:	2016
Authors:	Mouhacine Benosman
Dimensions:	229 x 152 x 18mm (L x W x T)
Format:	Paperback
Pages:	282
ISBN-13:	978-0-12-803136-0
Categories:	Books > Professional & Technical > Mechanical engineering & materials > Mechanical engineering > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	0-12-803136-0
Barcode:	9780128031360

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