Continuous-time synthesizing robust sampled-data dynamic output-feedback controllers for uncertain nonlinear systems in Takagi-Sugeno form: A descriptor representation approach

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초록

This paper discusses controller design techniques for robust sampled-data dynamic output-feedback (DOF) for nonlinear systems in the Takagi-Sugeno (T-S) fuzzy form with parametric uncertainties and L-2/L-infinity disturbances. We perform the sampled-data syntheses in a continuous-time domain based on an augmented sampled-data closed-loop model in descriptor form. Hence, the investigation does not require any (approximate) discrete-time model of a T-S fuzzy system, which is a significant obstacle in nonlinear sampled-data control system designs. Moreover, various cross-product terms among system matrices, to-be-designed DOF controller matrices, and other decision variables are reduced, yielding single-stage linear matrix inequality-based design conditions. (C) 2021 Elsevier Inc. All rights reserved.

키워드

Takagi-Sugeno (T-S) fuzzy modelSampled-data controlDynamic output feedback (DOF)Descriptor formH-INFINITY CONTROLINTELLIGENT DIGITAL REDESIGNDATA FUZZY CONTROLSTABILIZATIONDESIGN
제목
Continuous-time synthesizing robust sampled-data dynamic output-feedback controllers for uncertain nonlinear systems in Takagi-Sugeno form: A descriptor representation approach
저자
Lee, JaejunMoon, Ji HyunLee, Ho Jae
DOI
10.1016/j.ins.2021.02.032
발행일
2021-07
유형
Article
저널명
Information Sciences
565
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456 ~ 468