Fault-tolerant control research for networked control systems based on quasi T-S fuzzy models

Implementing a control system over a communication network induces inevitable time delays and packet dropout that degrade performance and can even cause instability. One of the most effective ways to reduce the negative effect on the performance of networked control system is to reduce network traffic. In this paper, adjustable deadbands are explored as a solution to reduce network traffic in networked control system and we presented a new modeling method for networked control system with random time delays and communication constraints based on quasi T-S fuzzy models. The integrity design for the kind of networked control system with sensors failures and actuators failures is analyzed based on robust fault-tolerant control theory and information scheduling. Parametric expression of controller is given based on feasible solution of linear matrix inequality (LMI).