Learning-Based Adaptive Control : An Extremum Seeking Approach – Theory and Applications

by USA) Benosman Cambridge Mouhacine

Book Details

Format Paperback / Softback

ISBN-10 0128031360

ISBN-13 9780128031360

Publisher Elsevier - Health Sciences Division

Imprint Butterworth-Heinemann Inc

Country of Manufacture NL

Country of Publication GB

Publication Date Jul 11th, 2016

Print length 282 Pages

Weight 446 grams

Dimensions 23.10 x 32.00 x 1.80 cms

Product Classification: Mechanical engineering Machine learning

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Ksh 16,850.00

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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.

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