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Admissibilization of Singular Interval-Valued Fuzzy Systems
- Source :
- IEEE Transactions on Fuzzy Systems. 25:1765-1776
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2017.
-
Abstract
- In this paper, we consider the state-feedback and static output feedback control problems of continuous singular interval-valued Takagi–Sugeno fuzzy systems with mismatched membership functions. First, based on the Lyapunov stability theory, a state-feedback control criterion is proposed to guarantee the closed-loop system to be admissible. Second, the result is extended to the static output feedback control problem, and a sufficient condition for synthesis is derived in terms of strict linear matrix inequalities, which eliminates the disadvantages in some existing results, such as same output matrices and the bilinear matrix inequality problem. To obtain less conservative results, the information of mismatched membership functions is employed. Finally, numerical examples are given to illustrate the effectiveness of the proposed techniques.
- Subjects :
- Lyapunov stability
0209 industrial biotechnology
Fuzzy classification
Applied Mathematics
Fuzzy set
02 engineering and technology
Fuzzy control system
Defuzzification
020901 industrial engineering & automation
Computational Theory and Mathematics
Artificial Intelligence
Control and Systems Engineering
Control theory
0202 electrical engineering, electronic engineering, information engineering
Fuzzy number
020201 artificial intelligence & image processing
Fuzzy associative matrix
Membership function
Mathematics
Subjects
Details
- ISSN :
- 19410034 and 10636706
- Volume :
- 25
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Fuzzy Systems
- Accession number :
- edsair.doi...........2ab9a9cc9e9c6e7ab11b9e07fe938212