Admissibility Analysis and Controller Design Improvement for T-S Fuzzy Descriptor Systems

被引:1
|
作者
Yang, Han [1 ]
Zhang, Shuanghong [1 ]
Yu, Fanqi [1 ]
机构
[1] Jilin Normal Univ, Sch Math & Comp Sci, Siping 136000, Peoples R China
来源
SYMMETRY-BASEL | 2024年 / 16卷 / 08期
关键词
T-S fuzzy model; descriptor system; admissibility; linear matrix inequality (LMI); fuzzy Lyapunov function; PDC controller; non-PDC controller; SLIDING MODE CONTROL; NONLINEAR-SYSTEMS; NEURAL-NETWORKS; STABILIZATION; STABILITY; UNINORMS; FEEDBACK;
D O I
10.3390/sym16080992
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this paper, a stability analysis and the controller improvement of T-S fuzzy Descriptor system are studied. Firstly, by making full use of the related theory of fuzzy affiliation function and combining the design method of fuzzy Lyapunov function with the method of inequality deflation, a stability condition with wider admissibility and less system conservatism is proposed. The advantage of this method is that it is not necessary to ensure that each fuzzy subsystem is progressively stable. We also maximise the boundary of the derivatives of the affiliation function mined. Secondly, a PDC controller and a Non-PDC controller are designed, and the deflation conditions for the linear matrix inequalities of the two controllers are constructed. Finally, some arithmetic simulations and practical examples are given to demonstrate the effectiveness of the method studied in this paper, and the results obtained are less conservative and have larger feasible domains than previous methods.
引用
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页数:16
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