JOURNAL ARTICLE

An improved approach to fuzzy dynamic output feedback H control of continuous-time Takagi–Sugeno fuzzy systems

Guolin HuZhang JianZhiguo Yan

Year: 2021 Journal:   International Journal of Systems Science Vol: 53 (7)Pages: 1529-1544   Publisher: Taylor & Francis

Abstract

This paper studies the problem of dynamic output feedback $ H_{\infty } $ H∞ control for continuous-time Takagi–Sugeno fuzzy systems. Based on the fuzzy Lyapunov functions without the special structure, a controller design method is developed and the relaxed stabilisation conditions are proposed. First, some shortcomings of the existing results are improved and a new approach is proposed for bounding the time derivatives of the membership functions. Then, less conservative conditions are obtained by introducing regulable parameters and applying the matrix decoupling techniques, which guarantee the prescribed $ H_{\infty } $ H∞ performance. Moreover, the relaxation technique proposed in this paper is also suitable for the fuzzy system with immeasurable premise variables. Finally, some examples are provided to demonstrate the validity of the approach.

Keywords:
Control theory (sociology) Decoupling (probability) Fuzzy logic Fuzzy control system Mathematics Controller (irrigation) Fuzzy associative matrix Computer science Control (management) Neuro-fuzzy Control engineering Engineering Artificial intelligence

Metrics

6
Cited By
0.80
FWCI (Field Weighted Citation Impact)
35
Refs
0.74
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Elasticity and Wave Propagation
Physical Sciences →  Engineering →  Mechanics of Materials

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