Asynchronous dynamic event-triggered control of Markov jump systems with multichannel attacks and quantized measurement
In this article,a novel asynchronous output feedback controller based on the dynamic event-triggered mecha-nism and quantization is proposed for Markov jump systems with random deception attacks in the multi-channel transmis-sion firstly.In order to reduce the communication burden in the shared network,the dynamic event-triggered mechanism and quantized strategy are attained.To improve the non-fragile of the transmission channel,the multi-channel data trans-mission strategy based on the hidden Markov model(HMM)method is adopted.In the meanwhile,stochastically occurring multi-channel deception attacks described by Bernoulli variables are considered.The asynchronous control law is de-signed using HMM,which characterizes the mismatch between the system mode and the controller mode.By constructing the mode-dependent Lyapunov function,sufficient conditions to ensure the stochastic stability and strict dissipative of the closed-loop system are established.Finally,an example of the mass-spring-damper mechanical system is presented to verify the effectiveness and practicability of the proposed method.
even-triggered mechanismMarkov jump systemquantizationdeception attackoutput-feedback control
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