Research On Network Stochastic Control System Based On Event Triggering Mechanism

Networked control system(NCS)is a kind of spatial distributed system with limited communication bandwidth,which may be affected by environment and other factors,resulting in random packet loss and random delay,thus becoming a stochastic system.This paper mainly focuses on the problems of random delay,random packet loss and random uncertainties in the system model.The main contents are as follows:Firstly,an improved event triggering scheme is designed to analyze the stability of networked control system when there is time delay without packet loss.The Lyapunov functional is constructed to contain as much time delay information as possible,and the Lyapunov stability theory and free weighting matrix method are used to design the controller of the control system and provide sufficient conditions for the asymptotic stability of the system.Compared with the traditional event triggering scheme,it is verified that this scheme can effectively reduce the number of event triggers and save network resources.Secondly,aiming at the phenomenon of packet loss without delay in networked control system,a trigger scheme is designed.The random variables satisfying Bernoulli distribution are used to represent the packet loss in the system,and Lyapunov functional is constructed to analyze the stability of the system.Using Lyapunov's stability theory,the sufficient conditions for the asymptotic stability of the system are given,and the effectiveness of the scheme is verified by simulation.In view of the fact that there are random packet loss and rand om delay in the two channels of the network control system,the random packet loss phenomenon in the two channels is represented by a random variable that obeys the Bernoulli distribution,and the random delay is represented by random variables which obey Markov process.The state observer is constructed,and the sufficient conditions for the asymptotic stability of the system are given by using Lyapunov stability theorem.And the effectiveness of the method is verified by simulation.Finally,an adaptive event triggering scheme is designed for the case of random uncertainties and nonlinearity in the control system model.The triggering parameters of the scheme can be adjusted dynamically according to the threshold error.Finally,an adaptive event triggering scheme is designed for the case of random uncertainties and nonlinearity in the control system model,which can dynamically adjust the triggering parameters according to the threshold error.The randomness of the model is represented by random variables satisfying Bernoulli distribution,and Lyapunov functional is constructed to analyze the stability of the system.The effectiveness of the method is verified by simulation.