Research Of Markov Jump Systems Based On Hybrid-Driven Mechanism

Networked control systems(NCSs)have gradually been in-depth researched by the majority of scholars due to the advantages of highly efficient data transmission,distributed remote control,flexible installation and convenient maintenance,low-cost and low-loss.The corresponding research results have been used in actual production and life extensively.However,there are also inevitable shortcomings for NCSs.The research of control system is mainly based on its stability.The maintenance of system stability depends on the feedback control of the data transmitted in the system.But owing to problems such as network-induced delay,packet-dropouts and signal blocking,data transmitted may cause the system's feedback control efficiency decreasing.In order to solve these problems,scientists proposed event-triggered mechanism based on periodic sampling(time-triggered).Network bandwidth resources in time-triggered mechanism mode are sacrificed in exchange for detailed information of each physical object in the network.Event-triggering mechanism discards the detailed information of the sampled object for the purpose of saving network bandwidth resources.To balance the system performance and the transmission rate of communication data,some scholars propose the hybrid-driven mechanism according to two trigger methods.In addition,in order to optimize the data transmission of public communication channel,the quantization technology that converts continuous signal into limited discrete signal is introduced.Taking into account the frequent occurrence of current social network security incidents,cyber-attacks against control systems are worthy of further study.Based on hybrid-driven mechanism,the stability analysis and control of networked Markov jump systems are studied,and the main contents are as follows:1)Based on the hybrid-driven mechanism,a class of discrete-time output feedback Markov jump systems is considered,and the asymptotic stability control of the system in the case of network attacks is discussed.In this section,the hybrid-driven mechanism is dominated by Bernoulli distribution which determine the operating mode of the system.Cyber-attacks are mainly considered as a kind of external data injection attacks during the stable operation of the system.With constructing appropriate Lyapunov-Krasovskii functional,the stability criterion of the system is derived,and the corresponding controller are designed.2)For the uncertain Markov jump system,the state feedback control under continuous time is investigated.Considering the existence of network-induced delay in the system,a method of delays interval division is adopted with hybrid-driven mechanism to construct a closed-loop feedback control system.Quantizer is introduced into the channel of sensor-controller and controller-actuator to optimize the efficiency of data transmission.The Lyapunov-Krasovskii functional is constructed,and the stability criteria of the system are obtained with the free weight matrix method.Corresponding method is used to deal with the uncertain items in the system for the purpose of derivation simplify,and in the last,a corresponding feedback controller is designed.3)For the output feedback Markov jump system,the control problem in the finite-time domain is considered.Under continuous time,hybrid-driven mechanism and dual-channel quantization technology are employed separately to balance system performance and data transmission.Regarding cyber-attacks,the Bernoulli distribution describes the working mode of the system when it encounters external attack.By constructing a Lyapunov-Krasovskii functional,we obtain the stability criterion and H_? performance index of the system in the finite time domain.