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CMA—H∞ Hybrid Design of Robust Stable Adaptive Fuzzy Controllers for Non-linear Systems

  • 2018
  • OriginalPaper
  • Chapter
Published in:
Authors
Kaushik Das Sharma
Amitava Chatterjee
Patrick Siarry
Anjan Rakshit
Published in
Operations Research and Optimization
Publisher
Springer Singapore

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Abstract

The present paper utilizes covariance matrix adaptation (CMA), an evolution strategy, in conjunction with H∞-based robust control law to design a stable adaptive fuzzy controller for a class of non-linear systems. The objective of the design is to develop a self-adaptive optimal/near optimal fuzzy controller, with guaranteed stability and satisfactory robust transient performance. The global search capability of CMA and H∞-based tuning, that provide a fast adaptation utilizing local search method, is employed in tandem with this proposed design methodology. The hybrid control strategy is implemented for benchmark simulation case study, and the results demonstrate the usefulness of the proposed approach.

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Title
CMA—H∞ Hybrid Design of Robust Stable Adaptive Fuzzy Controllers for Non-linear Systems
Authors
Kaushik Das Sharma
Amitava Chatterjee
Patrick Siarry
Anjan Rakshit
Copyright Year
2018
Publisher
Springer Singapore
Book
Operations Research and Optimization

Print ISBN: 978-981-10-7813-2

Electronic ISBN: 978-981-10-7814-9

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-7814-9_11
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