Guaranteed Cost Control of Singular Fuzzy Time-Delay Systems Based on Proportional Plus Derivative Feedback

This paper explores the guaranteed cost control issue for singular Takagi-Sugeno (T-S) fuzzy systems with time delay. An augmented Lyapunov-Krasovskii functional (LKF) is adopted to analyze the system’s stabilization, and sufficient conditions are established based on Lyapunov stability theory. The method of free weight matrices is employed to provide a systematic approach for determining the controller parameters. Additionally, two compelling examples are presented to demonstrate the viability of the proposed methods.

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Publication Details

Journal
Electronics
Published
2024-11-20
DOI
https://doi.org/10.3390/electronics13224554
Citations
2
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
0.66

Funders

Controls
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article

Guaranteed Cost Control of Singular Fuzzy Time-Delay Systems Based on Proportional Plus Derivative Feedback

Huayang Zhang, Hebin Wang, Xin Wang
2 citations
Electronics
Stability and Control of Uncertain Systems
0.66
article

Guaranteed Cost Control of Singular Fuzzy Time-Delay Systems Based on Proportional Plus Derivative Feedback

Huayang Zhang, Hebin Wang, Xin Wang
article en
2 citations

Abstract

This paper explores the guaranteed cost control issue for singular Takagi-Sugeno (T-S) fuzzy systems with time delay. An augmented Lyapunov-Krasovskii functional (LKF) is adopted to analyze the system’s stabilization, and sufficient conditions are established based on Lyapunov stability theory. The method of free weight matrices is employed to provide a systematic approach for determining the controller parameters. Additionally, two compelling examples are presented to demonstrate the viability of the proposed methods.

ElectronicsVol. 13(22)
Qilu University of Technology (CN), Liaoning University of Technology (CN), Shandong Academy of Sciences (CN)
Department of Education of Liaoning Province, Liaoning University
Openalex Percentile: Top 29%
Stability and Control of Uncertain Systems
0.66
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