Control of Chaotic Systems Using Fuzzy Model-Based Regulators View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1999

AUTHORS

Keigo Watanabe , Lanka Udawatta , Kazuo Kiguchi , Kiyotaka Izumi

ABSTRACT

This paper presents a new approach to controlling chaotic systems using fuzzy regulators. The relaxed stability conditions and LMI (Linear Matrix Inequalities) based designs for a fuzzy regulator are used to construct a fuzzy attractive domain, in which a global solution is obtained so as to achieve the desired stability condition of the closed-loop system. In the control of chaotic systems, we use two-phases of control, first phase uses an open-loop control with inherent chaotic features of the system itself and a fuzzy model-based controller is employed under state feedback control in the second phase of control. The Henon map is employed to illustrate the above design procedure. More... »

PAGES

248-256

Book

TITLE

New Directions in Rough Sets, Data Mining, and Granular-Soft Computing

ISBN

978-3-540-66645-5
978-3-540-48061-7

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-540-48061-7_30

DOI

http://dx.doi.org/10.1007/978-3-540-48061-7_30

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1039421131


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