Event-Based State Estimation Against Deception Attacks: A Detection-Based Approach
Chang Zhao, Hong Lin, Yuman Li, Liang Shi, James Lam
Abstract
This article is concerned with the remote state estimation problems of cyber-physical systems (CPSs) under deception attacks, which will make the optimal state estimation computationally infeasible. To address this computational issue, a scheduler and a detector are jointly designed. Owing to the nearly 100% detection rate of the detector and the scheduling mechanism, a computationally efficient remote estimator is developed. Meanwhile, a protocol is designed to solve the information synchronization problem in computing innovations. Then, a necessary and sufficient condition for the stability of the remote estimator is established. Specifically, there is a stability threshold, and the estimator is stable if and only if the estimation factor is larger than this threshold. In addition, the scheduling threshold that can guarantee the remote estimator stability is also discussed. Finally, a numerical example is given to verify the detection and estimation performance.