基于T-S模糊模型的网络化控制系统的鲁棒容错控制

针对一类具有马尔可夫特性时延的非线性网络化控制系统，在建模的时候使用基于时延的准T-S模糊模型。当传感器和执行器发生故障失效的时候，由于系统的参数具有不确定的特征，分别构造了与时延概率分布相关的lyapunov泛函，设计了相应的容错控制器，并证明了该系统具有鲁棒完整性的充分条件。最后通过实例仿真对理论的有效性进行验证。

T-S Fuzzy Model-based Robust Fault-tolerant Control for Networked Control Systems

Against Markovian characteristics of time delay nonlinear networked control systems, the quasi T-S fuzzy model was built and on time delay. Due to the uncertainty of the system pavameters of the above control system and because farilures of both the sensors and actuatots happened, the time-delay probability distribution concerning with lyapunov function was constructed respectively. To the effect the fault-tolerant controllor was designed. The sufficient conditions for robust integrity in this system was proved. At last, simulation was done to verify through specimen that the theory herein is valid.