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JACIII Vol.13 No.2 pp. 150-154
doi: 10.20965/jaciii.2009.p0150
(2009)

Paper:

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Robust Guaranteed Cost Control of Uncertain Fuzzy Systems Under Sampled-Data Inputs

Jun Yoneyama

Department of Electrical Engineering and Electronics, Aoyama Gakuin University, 5-10-1 Fuchinobe, Sagamihara, Kanagawa 229-8558 Japan

Received:
July 28, 2008
Accepted:
November 28, 2008
Published:
March 20, 2009
Creative Commons License
Keywords:
Takagi-Sugeno fuzzy systems, time-delay systems, sampled-data control, robust control, guaranteed cost control
Abstract
A dynamical system is usually modeled as a continuous-time system, while the control input is applied at discrete instants. This is called a sampled-data control system. This paper is concerned with robust sampled-data control with guaranteed cost for uncertain fuzzy systems. The sampled-data control input is usually the zero-order hold and hence has a piecewise-continuous delay. Thus, an input delay system approach to robust sampled-data control is introduced. Sufficient robust guaranteed cost performance conditions for the closed-loop system with a sampled-data state feedback controller are given in terms of linear matrix inequalities(LMIs). Such robust conditions are derived via descriptor approach to fuzzy time-delay systems under the assumption that a sampling interval may vary but is not greater than some prescribed number. A design method of robust sampled-data guaranteed cost controller for uncertain fuzzy systems. Numerical examples are given to illustrate our sampled-data state feedback control.
Cite this article as:
J. Yoneyama, “Robust Guaranteed Cost Control of Uncertain Fuzzy Systems Under Sampled-Data Inputs,” J. Adv. Comput. Intell. Intell. Inform., Vol.13 No.2, pp. 150-154, 2009.
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