Sampled-data static output-feedback control for nonlinear systems in T-S form via descriptor redundancy

Citations

WEB OF SCIENCE

9
Citations

SCOPUS

11

초록

This paper deals with a static output-feedback stabilization problem within a sampled-data framework for nonlinear systems in Takagi-Sugeno form. We investigate this problem on the basis of the descriptor-redundancy scheme. The resulting features are that: (i) the sampled-data synthesis does not involve (even approximate) discrete-time models of nonlinear systems; (ii) the sampled-data stability is analyzed in the continuous-time Lyapunov sense; and (iii) the design algorithm consists of a single-stage linear matrix inequality problem without linear matrix equality constraints. (C) 2018 Elsevier B.V. All rights reserved.

키워드

Takagi-Sugeno fuzzy modelSampled-data controlStatic output feedbackDescriptor redundancyINTELLIGENT DIGITAL REDESIGNH-INFINITY CONTROLFUZZY-SYSTEMSROBUST STABILIZATIONTRACKING CONTROLMODEL
제목
Sampled-data static output-feedback control for nonlinear systems in T-S form via descriptor redundancy
저자
Kang, Hyoung BinLee, Ho Jae
DOI
10.1016/j.neucom.2018.06.048
발행일
2018-11-27
유형
Article
저널명
Neurocomputing
318
페이지
1 ~ 6