Several Control Methods Of Networked Systems Under Event-triggered Mechanism

In recent years,networked control systems(NCSs)have attracted more and more attention with the advancement of science and technology.The NCSs can realize the long-distance in-formation exchange between physical devices through the communication network,but it also limited by the shortcomings of the communication network.How to design control methods to reduce the influence of related factors is worthy of attention.In this paper,NCSs with event-triggered mechanism(ETM)in different situations are modeled based on T-S(Takagi-Sugeno)fuzzy model and Markov stochastic process,and the design of the controller is given to ensure the stability of the system.The stability of the system is analyzed by linear matrix inequality(LMI)technique and Lyapunov stability theory,and sufficient conditions for stability are given by linear matrix inequality.The main work of the paper is summarized as follows.In the first chapter,the research background and significance of the NCSs and ETM are explained,and we analyze their research status.Furthermore,the main content of this paper is introduced.In the second chapter,some basic control theories are introduced,especially the Lyapunov stability theory.Secondly,the basic fuzzy theory is introduced,which includes the T-S fuzzy theory.Finally,the Markov stochastic process theory is introduced.These theoretical knowl-edge lay the foundation for the following research,so we can better analyze the stability of the system.In the third chapter,we consider the stochastic stability of a class of NCSs with time-varying delays via the H_?quantification control method.First,the NCSs is modeled by Markov stochastic process,and on this basis,a discrete ETM and a logarithmic quantizer are designed.The stochastic stability of the system is analyzed by using the Lyapunov stability theory,and the sufficient conditions for the stochastic stability of the NCSs and the design method of the H_?quantization controller are express as LMI.Finally,the effectiveness of the method is verified by simulation experiments.In the fourth chapter,we investigate the stability of a class of NCSs with data packet loss via the fuzzy predictive control method.First of all,the NCSs is modeled by using the T-S fuzzy model,and a dynamic ETM and predictor are designed.Then the stability of the NCSs is ana-lyzed via the Lyapunov stability theory,and sufficient conditions for the stability of the NCSs are given.The design of the fuzzy predictive controller is given as LMI.Finally,a simulation example is given to illustrate the effectiveness of the method.In the fifth chapter,the work of this paper is summarized,then problems that need to be solved and future research directions are describes.