State estimation for distributed parameter systems via resilient event-triggered protocol

This paper focuses on the event-triggered state estimation problem for distributed parameter systems under denial of service (DoS) attacks. First, a resilient event-triggered mechanism is proposed to mitigate the impact of DoS attacks and enhance communication efficiency. Furthermore, an attack-resistant state estimator is designed, and sufficient conditions for the finite-time stability of the error system are derived using a piecewise Lyapunov functional. In addition, the observer gain matrices and the event-triggering parameters are obtained by solving linear matrix inequalities. Finally, two numerical simulations demonstrate the effectiveness of the proposed strategy.