Abstract
This paper investigates adaptive event-triggered state estimation for T-S fuzzy systems with multiple cyber-attacks. In order to reduce network load, the adaptive event-trigger mechanism is used to adjust the threshold of event triggering condition adaptively on the premise of ensuring system performance. Considering the influence of cyber-attacks, a T-S fuzzy model for the state estimation is established with the adaptive event-trigger mechanism. On the basis of the model, the sufficient conditions to guarantee the system asymptotically stability are obtained by using Lyapunov stability theory. In addition, the gains of the estimator are acquired in the form of linear matrix inequalities (LMIs). Finally, a simulated example is given to testify the feasibility of the proposed method.
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