Volume 32, Issue 16 pp. 8889-8911
RESEARCH ARTICLE

A switched system approach to exponential filtering design for Takagi–Sugeno fuzzy systems with sampled-data measurements subject to packet dropouts

Meng Wang

Corresponding Author

Meng Wang

Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China

Correspondence Meng Wang, Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China.

Email: [email protected]

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Huaicheng Yan

Huaicheng Yan

Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China

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Zhichen Li

Zhichen Li

Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China

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Yongxiao Tian

Yongxiao Tian

Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai, China

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First published: 28 July 2022
Citations: 2

Funding information: National Natural Science Foundation of China, Grant/Award Numbers: 62003139; 62103146; Natural Science Foundation of Shanghai, Grant/Award Number: 20ZR1415200; China Postdoctoral Science Foundation, Grant/Award Numbers: 2020TQ0096; 2021M690056

Abstract

This article studies the problem of exponential H $$ {\mathcal{H}}_{\infty } $$ filtering design for Takagi–Sugeno fuzzy systems with sampled-data measurements under the data packet dropout phenomenon. A novel switched system approach is developed, and thus the resulting filtering error system is rewritten in a time-varying delayed switched system form. Based on novel piecewise time-dependent Lyapunov functionals, sufficient conditions are obtained to guarantee the exponential stability with H $$ {\mathcal{H}}_{\infty } $$ performance of the filtering error system. The full-/reduced-order filter design results in the form of solving a set of linear matrix inequalities are obtained. Finally, simulation results are provided to show the effectiveness of the method.

CONFLICT OF INTEREST

The authors declare no potential conflict of interests.

DATA AVAILABILITY STATEMENT

Data sharing is not applicable to this article as no new data were created or analyzed in this study.

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