Passive Control For Wireless Networked Control Systems Based On T-S Fuzzy Model

Based on wireless network transmission medium,wireless networked control systems are distributed control system which are composed of sensors,controllers and actuators.Compared with the traditional control systems,wireless networked control systems have the advantages of high flexibility,low cost and maintainability,etc.Moreover,it also has many functions such as management and decision-making.Therefore,the wireless networked control systems have been developed and popularized in the practical application,such as industrial control systems,modern transport systems,medical control systems and so on.However,the limited channel bandwidth,the aging of the system components and the bad external environment have brought new problems in the wireless networked control systems,such as delay,data packet dropout,quantization error,sensor and actuator fault,etc.For the possible problems that may arise in the wireless networked control systems,this paper studies the design of passive controller for the non-ideal wireless networked control systems based on the T-S fuzzy model.System structure and parameters are randomly changed,the performance of the system will be reduced and the stability of the system will be affected without considering these random variations.In recent years,Markov jump systems as one of the hybrid systems have been concerned by scholars.In practical control systems,due to the restriction of conditions,it is difficult to obtain the information of system mode.Therefore,mode-dependent controller can not be designed easily.Asynchronous control is a good solution to this problem.Due to the limited bandwidth,the signal is usually needed to be quantized before transfer to the network.Therefore,as a kind of commonly used encoding device,quantization is widely used in wireless network control systems.It can solve the problem of limited channel bandwidth and the operation is convenient.In recent years,as the system becomes more and more complex,the problem of reliable control has received more and more attentions.In the process of system analysis and design,the system's robustness is improved by considering the system components(such as sensors and actuators)fault.1.A kind of fuzzy discrete wireless networked control systems is studied.The stochastic jump of the parameters is described by Markov model,meanwhile,Bernoulli model is introduced to describe the packet dropouts.based on the packet dropouts,the closed-loop system model is given.By introducing asynchronous control,the disadvantages of that the controller is unavailable to the system mode are overcome.The conditions for the existence of nonfragile asynchronous controllers are presented in the form of LMI,and not only guarantee the systems mean-square stable but also achieves the prescribed passivity.Finally,the effectiveness of the method is verified by numerical examples.2.The stability and the passive output feedback control of fuzzy discrete nonlinear systems are studied.First of all,the signal quantization and actuator fault are introduced,based on fuzzy Lyapunov function,sufficient condition is established to guarantee that the closed-loop system is mean-square stable and achieves the passivity.Secondly,the design of passive dynamic output feedback controller is studied.By using the method of variable substitution,the non LMI form are converted into LMI form,the conditions for the existence of controller are presented.The validity of the method is verified by numerical examples.