Control Of Networked Randomly Switched Systems With Limited Communicatio

Networked random switched systems are a kind of networked control systems that take network as communication medium and integrate physical process,efficient communication and random switched control.They not only have the powerful modeling ability of random switched systems,but also inherit the advantages of low cost and high flexibility of network communication.However,data transmission through the network will inevitably bring some thorny problems,such as network congestion,network delay,channel fading,network attacks and other communication constraints.If not improved,these problems may degrade system performance and destroy system stability.At present,the research of communication constraints is mostly limited to the general networked systems,and the research on the networked random switched systems is still insufficient.In addition,due to the factors such as bad communication and component failure in the actual systems,which lead to sudden changes of structure and parameters,the existing results of networked switched systems are not applicable to this kind of special random switched systems.Therefore,it is an important and challenging topic to study the control problem of networked random switched systems under communication constraints and make up for the deficiency of relevant theories.Based on the above situation,this paper analyzes the control problem of networked random switched systems under communication constraints by using the relevant theories of event-triggered control,sliding mode control,fuzzy control and so on.The main contents of the paper are as follows:1.The event-triggered sliding mode control of networked random switched systems with fading channels is studied.In the real network environment,signal transmission will inevitably be affected by fading phenomenon due to the presence of delay,random noise and amplitude attenuation.Based on this,an event-triggered sliding mode controller is constructed,and sufficient conditions are obtained to ensure the stability and sliding mode dynamics accessibility of the closed-loop system,thus attenuating the influence of fading channels.Finally,the effectiveness of the proposed event-triggered sliding mode control method is verified by the F-404 aircraft model and tunnel diode circuit model.2.The fuzzy sliding mode control of networked random switched systems under deception attacks is studied.The control signal is considered to be subject to random deception attacks during transmission.Based on the constructed fuzzy observer and the common sliding surface,the sufficient conditions for the stochastic stability of the fuzzy sliding mode dynamics are given.In addition,the proposed fuzzy sliding mode control law ensures the accessibility of the sliding region.Finally,a single link robot arm model is simulated to verify the availability of the results.3.The finite-time control problem of networked random switched systems under denialof-service attacks is studied.The aperiodic denial-of-service attacks are introduced in random switched systems with partial unknown transition probabilities.According to the basic characteristics of attacks,an appropriate feedback controller is designed.Then,using iterative technique and multiple Lyapunov function method,sufficient criteria to ensure the finite-time stability of the closed-loop system are proposed.Finally,a turbofan engine model is taken as an example to verify the effectiveness and feasibility of the proposed finite-time control method.4.The adaptive event-triggered synchronization control of random switched neural networks with time delay and denial-of-service attacks is studied.The semi-Markov process is used to describe the sudden changes of system structure and parameters.Based on the characteristics of aperiodic denial-of-service attacks,an event-triggered feedback controller is constructed.Then,the sufficient conditions for exponential synchronization of master-slave system are given by using integral inequality technique.Finally,the validity of the results is verified by means of the quadruple-tank process model.