Learning-Based Adaptive Control: An Extremum Seeking Approach – Theory and Applications
Author:   Mouhacine Benosman (Senior Researcher, Mitsubishi Electric Research Laboratories (MERL), Cambridge, USA)
Publisher:   Elsevier - Health Sciences Division
ISBN:  

9780128031360


Pages:   282
Publication Date:   11 July 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Learning-Based Adaptive Control: An Extremum Seeking Approach – Theory and Applications


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Author:   Mouhacine Benosman (Senior Researcher, Mitsubishi Electric Research Laboratories (MERL), Cambridge, USA)
Publisher:   Elsevier - Health Sciences Division
Imprint:   Butterworth-Heinemann Inc
Dimensions:   Width: 15.20cm , Height: 1.80cm , Length: 22.90cm
Weight:   0.400kg
ISBN:  

9780128031360


ISBN 10:   0128031360
Pages:   282
Publication Date:   11 July 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1. Some Mathematical Tools 2. Adaptive Control: An Overview 3. Extremum Seeking-Based Iterative Feedback Gains Tuning Theory 4. Extremum Seeking-Based Indirect Adaptive Control 5. Extremum Seeking-Based Real-Time Parametric Identification for Nonlinear Systems 6. Extremum Seeking-Based Iterative Learning Model Predictive Control (ESILC-MPC)

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Author Information

Mouhacine Benosman worked at universities in Rome, Italy, Reims, France, and Glasgow, Scotland before spending 5 years as a Research Scientist with the Temasek Laboratories at the National University of Singapore.He is presently senior researcher at the Mitsubishi Electric Research Laboratories (MERL), Cambridge, USA. His research interests include modelling and control of flexible systems, non-linear robust and fault tolerant control, vibration suppression in industrial machines, multi-agent control with applications to smart-grid, and more recently his research focus is on learning and adaptive control with application to mechatronics systems. The author has published more than 40 peer-reviewed journals and conferences, and more than 10 patents in the field of mechatronics systems control. He is a senior member of the IEEE society and an Associate Editor of the Control System Society Conference Editorial Board.

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