Fuzzy Modeling and Fault Detection for Networked Control Systems**This work is supported by National Natural Science Foundation of China, Grant #60274014 and #60574088 to Fang Hua-Jing.

: Networked control systems (NCS) are systems with at least one loop closed through data networks. NCS have many advantages compared with traditional systems, but the network-induced time delay and other peculiarities of communication channel will degrade the performance of closed-loop systems. In this paper, we focused on NCS with random time delays. New models, the so-called ‘quasi T-S fuzzy models’, for linear and nonlinear NCS with random time delays were presented, the stability of closed-loop system was discussed, and based on these fuzzy models, fault detection problems for NCS were addressed. Finally, a simulation example was given. Copyright © 2006 IFAC

[1]  Linda Bushnell,et al.  Stability analysis of networked control systems , 2002, IEEE Trans. Control. Syst. Technol..

[2]  Johan Nilsson,et al.  Real-Time Control Systems with Delays , 1998 .

[3]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[4]  C.T. Abdallah,et al.  Inherent issues in networked control systems: a survey , 2004, Proceedings of the 2004 American Control Conference.

[5]  Hong Zhang,et al.  Quasi T-S Fuzzy Models and Stable Controllers for Networked Control Systems , 2006, 2006 6th World Congress on Intelligent Control and Automation.

[6]  R. W. Wilde,et al.  Observers for linear systems with unknown inputs , 1988 .

[7]  Y. Tipsuwan,et al.  Control methodologies in networked control systems , 2003 .