Finite-time adaptive event-triggered asynchronous state estimation for Markov jump systems with cyber-attacks

This article considers the issue of finite-time H infinity asynchronous state estimation for event-triggered nonlinear Markovian jump systems subject to cyber-attacks. An adaptive event-triggered scheme is introduced to cope with the capacity constraint of the networked resources. It is assumed that the transmitted sensor measurements may experience randomly malicious cyber-attacks. Considering the effect of the adaptive event-triggered scheme and the occurrence of cyber-attacks, we establish a new state estimation error system model. Sufficient conditions of the finite-time boundedness and the H infinity finite-time boundedness are developed for the augmented system. Then, the design methods of the asynchronous estimator gains are derived, which can ensure the H infinity finite-time boundedness of the estimation error system. Finally, a numerical example is given to show the effectiveness of the theoretical results.

Automated summary

This article introduces an adaptive event-triggered scheme to address the capacity constraint of networked resources and the occurrence of cyber-attacks. A new state estimation error system model is established to ensure finite-time boundedness and H infinity finite-time boundedness. Design methods for asynchronous estimator gains are derived to guarantee the H infinity finite-time boundedness of the estimation error system. A numerical example is provided to illustrate the effectiveness of the theoretical results.