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Your search keyword '"Xie, Xiangpeng"' showing total 2 results
2 results on '"Xie, Xiangpeng"'

1. Dynamic event-triggered security control for networked T-S fuzzy system with non-uniform sampling.

Author

Tan, Yushun, Yuan, Ye, Xie, Xiangpeng, and Niu, Ben

Subjects
*FUZZY systems, *LINEAR matrix inequalities, *FUZZY control systems, *STOCHASTIC analysis, *CLOSED loop systems, *ADAPTIVE fuzzy control
Abstract

This paper is focused on the security control problem for the dynamic event-triggered networked T-S fuzzy control system with non-uniform sampling and stochastic network attacks. Different from existing research, the signals from sensor are sampled in a non-uniform period. To improve communication, a novel dynamic event-triggered method is proposed, which can adjust the trigger parameters dynamically according to the changes of external output. Then, a T-S fuzzy dynamic output feedback control model with event-triggered mechanism and network attacks is constructed. Furthermore, by introducing a set of slack matrix, the asynchronous premise variable problem caused by event-triggered method is solved, and some sufficient conditions that insure the asymptotic stability with an H ∞ performance requirement of the established closed-loop system can be obtained by utilizing Lyapunov function method and stochastic analysis technique. Moreover, the gains of the fuzzy dynamic output feedback controllers are found by solving the linear matrix inequalities (LMIs). Finally, two practical examples are given to support the merits and effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

Published
2023
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2. High-order moment interval stability/stabilization and observability of stochastic impulsive T–S fuzzy systems.

Author

Zhang, Tingting, Zhang, Huasheng, Xie, Xiangpeng, and Jiang, Mengmeng

Subjects
*FUZZY systems, *POLE assignment, *EIGENVALUES, *OBSERVABILITY (Control theory), *STABILITY criterion, *HOPFIELD networks, *ADAPTIVE fuzzy control
Abstract

This article is concerned with the problems of high-order moment interval stability/stabilization and observability of stochastic impulsive T–S fuzzy systems (SITSFSs). Firstly, the definition of high-order moment interval stability is proposed of SITSFSs in this paper. In consideration of the connection between pole placement and performance of systems, sufficient conditions for the distribution of the eigenvalues of systems within a defined interval are provided, serving as the criterion for the interval stability in high-order moment of SITSFSs. Different from the general concept of stability, besides determining the stability in high-order moment of the system, high-order moment interval stability can also describe the dynamic performance in high-order moment of systems. Then, the proposed approach in combination with fuzzy control theory provides a reliable and effective method for designing an interval state feedback controller that can ensure the stability of systems and regulate convergence rate of systems. Furthermore, moment observability of SITSFSs has also been addressed in this article. Finally, the numerical simulation verifies the validity and suitability of the proposed method. • A novel 2 p th moment interval stability/stabilization criterion is put forward. • Using the H -representation method, an extended system model is constructed. • A new fuzzy controller design method is proposed to reflect the dynamic and static performances of the system in high-order moment. [ABSTRACT FROM AUTHOR]

Published
2024
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