期刊
INFORMATION SCIENCES
卷 457, 期 -, 页码 182-194出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2018.02.026
关键词
Networked fuzzy static output feedback control; Sensor saturation; A discrete-time asynchronous T-S fuzzy system; An augmented fuzzy Lyapunov-Krasovskii functional
资金
- National Natural Science Foundation of China [61403240, U1610116]
- Natural Science Foundation of Shanxi [201601D021081]
This paper deals with the problem of networked fuzzy static output feedback control for discrete-time Takagi-Sugeno fuzzy systems with sensor saturation and measurement noise. First, by taking network-induced delays and packet dropouts into account, the resulting closed-loop fuzzy system is modeled as an asynchronous discrete-time T-S fuzzy system subject to both interval-like delays and sector nonlinearity. Second, an augmented fuzzy basis-dependent Lyapunov functional is introduced. By employing a matrix-based quadratic convex method, an interval-delay-dependent bounded real lemma is derived such that the closed-loop system has a prescribed H-infinity performance level. Third, a fuzzy controller design method is presented by using a cone complementarity linearization algorithm. Finally, a nonlinear inverted pendulum system via networked fuzzy control is provided to show that the proposed results are of less conservatism and exhibit satisfactory adaptability to sensor saturation. (C) 2018 Elsevier Inc. All rights reserved.
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