H∞ filter design for a class of networked control systems via T-S fuzzy model approach

2010 ◽  
Author(s):  
Zehui Mao ◽  
Bin Jiang ◽  
Yufei Xu
Keyword(s):  
Control Systems ◽  
Networked Control Systems ◽  
Filter Design ◽  
Fuzzy Model ◽  
Networked Control ◽  
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

Stabilization and Separation Principle of Networked Control Systems Using the T–S Fuzzy Model Approach

2015 ◽  
Vol 23 (5) ◽  
pp. 1832-1843 ◽  
Author(s):  
Hongbo Li ◽  
Ligang Wu ◽  
Juntao Li ◽  
Fuchun Sun ◽  
Yuanqing Xia
Keyword(s):  
Control Systems ◽  
Networked Control Systems ◽  
Fuzzy Model ◽  
Networked Control ◽  
Separation Principle ◽  
Model Approach

scholarly journals Active-Varying Sampling-Based Fault Detection Filter Design for Networked Control Systems

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Yu-Long Wang ◽  
Tian-Bao Wang ◽  
Wei-Wei Che
Keyword(s):  
Fault Detection ◽  
Control Systems ◽  
Networked Control Systems ◽  
Filter Design ◽  
Sampling Period ◽  
Networked Control ◽  
Packet Dropouts ◽  
Fault Detection Filter ◽  
Simulation Results ◽  
Detection Filter

This paper is concerned with fault detection filter design for continuous-time networked control systems considering packet dropouts and network-induced delays. The active-varying sampling period method is introduced to establish a new discretized model for the considered networked control systems. The mutually exclusive distribution characteristic of packet dropouts and network-induced delays is made full use of to derive less conservative fault detection filter design criteria. Compared with the fault detection filter design adopting a constant sampling period, the proposed active-varying sampling-based fault detection filter design can improve the sensitivity of the residual signal to faults and shorten the needed time for fault detection. The simulation results illustrate the merits and effectiveness of the proposed fault detection filter design.

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