Event-triggered H∞ filtering for nonlinear networked control systems via T-S fuzzy model approach

2021 ◽  
Vol 448 ◽  
pp. 344-352
Author(s):  
Xiaojian Yi ◽  
Guangjie Li ◽  
Yajuan Liu ◽  
Fang Fang
Keyword(s):  
Control Systems ◽  
Networked Control Systems ◽  
Fuzzy Model ◽  
Networked Control ◽  
Nonlinear Networked Control Systems ◽  
Event Triggered ◽  
Model Approach

Stabilization for a class of nonlinear networked control systems via polynomial fuzzy model approach

Complexity ◽  
2014 ◽  
Vol 21 (2) ◽  
pp. 74-81 ◽  
Author(s):  
Hongyi Li ◽  
Ziran Chen ◽  
Yiyong Sun ◽  
Hamid Reza Karimi
Keyword(s):  
Control Systems ◽  
Networked Control Systems ◽  
Fuzzy Model ◽  
Networked Control ◽  
Nonlinear Networked Control Systems ◽  
Model Approach

scholarly journals Switching Fuzzy Guaranteed Cost Control for Nonlinear Networked Control Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Linqin Cai ◽  
Zhuo Yang ◽  
Jimin Yu ◽  
Zhenhua Zhang
Keyword(s):  
Control Systems ◽  
Cost Control ◽  
Controller Design ◽  
Networked Control Systems ◽  
Sufficient Conditions ◽  
Fuzzy Model ◽  
Guaranteed Cost Control ◽  
Networked Control ◽  
Nonlinear Networked Control Systems ◽  
Guaranteed Cost

This paper deals with the problem of guaranteed cost control for a class of nonlinear networked control systems (NCSs) with time-varying delay. A guaranteed cost controller design method is proposed to achieve the desired control performance based on the switched T-S fuzzy model. The switching mechanism is introduced to handle the uncertainties of NCSs. Based on Lyapunov functional approach, some sufficient conditions for the existence of state feedback robust guaranteed cost controller are presented. Simulation results show that the proposed method is effective to guarantee system’s global asymptotic stability and quality of service (QoS).

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