Estimation for Linear Repetitive Processes based on Event-triggering Mechanism under DoS Attack

This paper addresses the state estimation of linear repetitive processes affected by DoS attacks. An estimator with H
∞
performance is designed based on an event-triggering mechanism. Firstly, the linear repetition process is two-dimensional (2-D) system, and a 2-D DoS attack and event triggering mechanism model is established. Then designed an estimator, on which we built the augmentation error system and specified the desired performance metrics to ensure that the system would remain robustness in the face of DoS attacks and event triggering mechanisms. By using Lyapunov theory, the sufficient criterion to ensure the robust stability of augmented error system is provided. The explicit expressions of the estimator’s parameters are obtained by solving a matrix inequality. Finally, a simulation example is presented to validate the feasibility of the theoretical results.