Research On Filtering Of Networked Fuzzy T-S System Based On Event-triggered Mechanism

Networked T-S fuzzy system inherits the characteristics of both networked system and T-S fuzzy system.First of all,a nonlinear system is estimated by bending a set of linear subsystems by means of membership function through local linearization technique.Next,the introduction of network results in various of network-induced phenomena,such as time delay,channel fading and random uncertainties,which seriously deteriorate the system performance.Finally,considering the limited bandwidth of the shared communication channel,it is not necessary that all the periodic sampling data are transmitted to the filter through the channel.Therefore,the event-triggering mechanism is introduced to effectively save communication resources and reduce the network transmission load under the premise of ensuring the desirable performance index.This paper discusses the filter design of networked T-S fuzzy system along with the idea of the event-triggering mechanism.Meanwhile,this paper addresses the complexity problem of the filtering of the networked fuzzy T-S systems due to the introduction of the event-triggering protocol and various network-induced phenomena by using the tools such as Lyapunov functional theory,stochastic analysis,and robust optimization.The main work of this paper is summarized as follows:1.The design problem of non-fragile filters is studied for a class of networked T-S systems with time-varying delay and measurement loss under the absolute event-triggering mechanism.First of all,a sequence of random variables is introduced to describe the missing measurements.Secondly,the structure of event-triggering mechanism is given,the non-fragile filter is constructed,and the dynamic equation of filter error are established.Then,the sufficient conditions are established to guarantee the desirable exponential finally bounded performance.Moreover,the upper bound of performance index is optimized by using robust optimization tool,and the filter design conditions are given.Finally,MATLAB software is used for simulation experiments to verify whether the designed non-fragile filter meets the design requirements.2.The filtering problem is investigated for a class of networked fuzzy T-S system with relatively event-triggering protocol.Firstly,the membership function is used to describe the fuzzy T-S system and a sequence of random variables is introduced to describe the channel fading phenomenon.Secondly,the condition of the relatively event-triggering protocol is given and the sufficient condition is established to guarantee the H? disturbance suppression performance over the finite horizon.Then,the design conditions of filter parameters are given.Finally,a simulation example is given to verify the effectiveness of the proposed filtering algorithm.3.The filter design problem is addressed for a class of networked T-S systems with dynamic event-triggering mechanism.A Bernoulli random variable is used to describe the occurrence of deceptive attacks and the constraint of malicious signal is given.Then,the event-triggering threshold is designed as a dynamic variable,and its evolution equation isgiven to adaptively adjust the frequency of data transmission.Next,the corresponding filter is constructed and the dynamic equation of filtering error is obtained.The filter parameters are designed according to the obtained linear matrix inequalities.Finally,the effectiveness of the algorithm is verified by simulation experiments.