The Time-Delay Compensation Method for Networked Control System Based on Improved Fast Implicit GPC

Tian, Zhongda

doi:10.14257/ijca.2016.9.1.21

Cited by 7 publications

(1 citation statement)

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“…The control of nonlinear systems has been explored and studied by many scholars in related fields. T-S fuzzy model is a powerful tool to deal with nonlinearity; much effort has been devoted on the networked control system for T-S fuzzy system or time-delayed (see [1][2][3][4]). The actuator and sensor faults estimation based on T-S fuzzy model with unmeasurable premise variables were investigated in [5].…”

Section: Introductionmentioning

confidence: 99%

Nonfragile H∞ Filter Design for Nonlinear Continuous-Time System with Interval Time-Varying Delay

Zhang

Sun³

et al. 2018

Journal of Control Science and Engineering

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This paper investigates nonfragile H∞ filter design for a class of continuous-time delayed Takagi-Sugeno (T-S) fuzzy systems with interval time-varying delays. Filter parameters occur multiplicative gain variations according to the filter’s implementation, to handle this variations, a nonfragile H∞ filter is presented and a novel filtering error system is established. The nonfragile H∞ filter guarantees the filtering error system to be asymptotically stable and satisfies given H∞ performance index. By constructing a novel Lyapunov-Krasovskii function and using the linear matrix inequality (LMI), delay-dependent conditions are exploited to derive sufficient conditions for nonfragile designing H∞ filter. Using new matrix decoupling method to reduce the computational complexity, the filter parameters can be obtained by solving a set of linear matrix inequalities (LMIs). Finally, numerical examples are given to show the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%