| Due to the existence of nonlinear characteristics in the actual networked control systems,some results of linear networked control systems can not be directly applied to practice.To solve these issues,the method of fuzzy model has become a powerful tool.Through fuzzy sets and nonlinear fuzzy membership functions,the nonlinear networked systems can approximate any nonlinear systems by combining some linear or local linear systems.With the expansion of network scale,the amount of information transmission also increases rapidly.Owing to the restrictions of restrictions,a novel event-triggered mechanism can alleviate the problems during the process of information transmission.In addition,considering the openness of network,the signal is easy to be attacked by the malicious network attacks during transmission.Therefore,the security problems of information transmission are not to be ignored.In summary,it is of great practical significance to research the security control problems for the fuzzy networked systems with event-triggered mechanism and network attacks.Based on the above description,the main contents are as follows:(1)For the T-S fuzzy networked system,a dynamic event triggering mechanism model with non-uniform sampling is constructed.Due to the influence of system nonlinear factors and stochastic deception attacks,a kind of T-S fuzzy dynamic output feedback control model is established.Based on the system model,some sufficient conditions to ensure the asymptotic stability for the system are obtained by using Lyapunov function theory and linear matrix inequality technology,and the corresponding controller gains are also given at the same time.Finally,a tunnel diode circuit system is proposed to demonstrate the effectiveness of the models.(2)For the IT-2 fuzzy networked system,considering the nonlinear interference in the estimation process,a new fuzzy observation bias model is designed.According to the existing literature on adaptive event triggered models and combining with the current sampling output and the last triggered output,an adaptive event-triggered mechanism is improved.Based on the above factors and stochastic multiple network attacks,a kind of IT-2 fuzzy observation control model is established.By using Lyapunov function theory and Singular Value Decomposition method,a set of sufficient conditions are proposed to ensure the asymptotic stability for the systems with asynchronous premise variables.Besides,the corresponding observer and controller parameters are obtained.Finally,the mass spring system and numerical example are put forward to verify the feasibility of the proposed method.(3)For a class of IT-2 fuzzy time-delay networked system,the Markov chain model is utilized to describe the hybrid network attacks with multi-modes in cyberspace.By utilizing some past triggered information and current sampling signals,a memory event-triggered mechanism is constructed.According to the above factors and the mode detection mechanism,an IT-2 fuzzy control model with memory event-triggered scheme is established.By making use of Lyapunov stability theory and stochastic analysis method,a set of sufficient conditions are given to ensure asymptotic stability for the system with complex hybrid network attacks.Meanwhile,the corresponding controller parameters can be obtained.Finally,the advantages of the proposed model are demonstrated by a mass spring damping system and a numerical example. |
