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

Benosman, Mouhacine

 
9780128031360: Learning-Based Adaptive Control: An Extremum Seeking Approach - Theory and Applications

Sinossi

Learning-based Adaptive Control: An Extremum Seeking Approach - Theory and Applications presents comprehensive information on Adaptive Control for optimal action based on the current characteristics of a system, also presenting tactics on how to learn how characteristics change along the way. The book takes two main approaches to the learning process: Model Based and Model Free. In the first case, precision modeling of the characteristics of a system and stability are key. For Model Free Adaptive Control, you begin knowing nothing about the system and learn from action (inputs) and reaction (outputs). This book offers a blended approach to Adaptive Control through physical modeling that allows the characteristics to evolve naturally over time to maintain the stability of the system. In the cases presented by the author, there is remarkable gain in performance and adaptability of the systems by applying his findings.

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Informazioni sull?autore

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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