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Sampled-data static output-feedback control for nonlinear systems in T-S form via descriptor redundancy
- Kang, Hyoung Bin;
- Lee, Ho Jae
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11초록
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 model; Sampled-data control; Static output feedback; Descriptor redundancy; INTELLIGENT DIGITAL REDESIGN; H-INFINITY CONTROL; FUZZY-SYSTEMS; ROBUST STABILIZATION; TRACKING CONTROL; MODEL
- 제목
- Sampled-data static output-feedback control for nonlinear systems in T-S form via descriptor redundancy
- 저자
- Kang, Hyoung Bin; Lee, Ho Jae
- 발행일
- 2018-11-27
- 유형
- Article
- 저널명
- Neurocomputing
- 권
- 318
- 페이지
- 1 ~ 6