Event-triggered Fault Detection And Reliable Filtering Of Nonlinear Markov Jump System

Event-triggered or event-driven strategy is an emerging transport or sampling mechanism to accommodate the intelligent and collaborative characteristics required in emerging systems.The main idea is to set up a decision or judgment mechanism in the front end of data transmission or sampling,which means only the information that meets the event driven conditions can be transmitted,so as to reduce the unnecessary consumption of limited network resources.In the face of data throughput which is different from the past,this strategy can effectively relieve the pressure of network bandwidth and realize the effective utilization of resources.Event driven strategy has been used in the field of control and has a very broad application prospect.Inspired by the above background and based on the full search of scientific literature and policy requirements,this paper studies a special nonlinear uncertain system,nonlinear Markov Jump system,and probes into its fault detection and reliable filtering.The main works of this paper are as follows:1.First of all,through reading and summarizing the literature,in-depth analysis of the development status,from the event driven,fault detection,reliable filtering and nonlinear system modeling and other aspects of the background knowledge of the introduction of this research motivation and significance.2.Secondly,the reliable filtering method of nonlinear Markov jump system under event-driven strategy is studied.The specific work includes modeling the actual nonlinear system,constructing the form of reliable filter and fault detection filter,implementing the event-driven transmission strategy,and then introducing the finite-frequency performance to realize the target of the specific frequency domain signal or the full utilization of the signal frequency.3.In determining the form of reliable filter and check disabled filter and to meet the performance conditions,using the Lyapunov stability theory to explore the stability of these two filtering and the corresponding performance,by introducing the generalized KYP lemma which contains the information of the frequency domain of relevant information,and then by means of linear matrix inequality(LMI).Finally,the conditions which greatened stable and satisfy the premise of limited frequency performance is derived.4.Using the obtained solution method,the optimal solution method under different premise and emphasis is given,and the relevant steps and algorithms are designed to obtain the structural gain of the filter,construct and obtain the residual.For the fault detection method,the corresponding residual function is designed after the residual signal is obtained,and the alarm strategy is designed based on the residual function.Finally,the fault detection and reliable filtering target are realized.5.Finally,the simulation experiment was carried out.Firstly,the Matlab/Simulink platform was used to build the system structure,including the architecture of the system model and the filter model,and the realization of the event-driven transmission strategy.Setting specific system structure and the various parameters,including the Markov Jump signal,event-driven parameters of the system,fault and disturbance forms,etc.)and the performance index,substituting the gains of filter,viewing its filtering effect and the barrier effect,then the analysis and summary is carried out consequently.