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

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.

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Publication Details

Journal
Symmetry
Published
2024-08-05
DOI
https://doi.org/10.3390/sym16080992
Citations
1
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
0.33

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Controls
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article

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

F. T. S. Yu, Shuanghong Zhang, Han Yang
1 citations
Symmetry
Stability and Control of Uncertain Systems
0.33
article

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

F. T. S. Yu, Shuanghong Zhang, Han Yang
article en
1 citations

Abstract

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.

SymmetryVol. 16(8)
Jilin Normal University (CN)
Natural Science Foundation of Jilin Province
Openalex Percentile: Top 44%
Stability and Control of Uncertain Systems
0.33
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Admissibility Analysis and Controller Design Improvement for T-S Fuzzy Descriptor Systems — F. T. S. Yu, Shuanghong Zhang, et al. · Symmetry (2024) | TGRS Research Map | TGRS