Diagnosis and Fault-Tolerant Control
Diagnosis and Fault-Tolerant Control
Takagi-sugeno fuzzy-model-based fault detection for networked control systems with Markov delays
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Input-to-state stability of networked control systems
Automatica (Journal of IFAC)
Network-based robust H∞ control of systems with uncertainty
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Fault tolerant control for networked control systems with packet loss and time delay
International Journal of Automation and Computing
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In this paper, a fault tolerant control (FTC) method is presented for a class of the nonlinear networked control systems (NCSs) with communication constraints. Firstly, using Euler approximate method and Takagi-Sugeno (T-S) fuzzy model, a new nonlinear NCSs model is given. Considering the sensor faults and the actuator faults, a fault-tolerant control method is proposed for nonlinear NCSs, which is based on robust control theory and information scheduling. The control law is given via some LMIs. Finally, an example is used to illustrate the efficiency of the proposed technique.