Distributed Adaptive State Estimation for CPSs Under Deception Attacks
Yan Liu, Tao Yin, Sha Fan, Chao Deng, Bo‐Chao Zheng, Peng Lin · IEEE Transactions on Industrial Informatics · 2025
In this article, a distributed secure state estimation methodology is presented for Lipschitz nonlinear cyber-physical systems under deception attacks. By using the locally observable decomposition and the estimate communication with neighbors, secure sate estimation can be achieved under joint observability. Different from the existing results, an adaptive mechanism is developed so that the deception attacks can be compensated on the observer estimation performance. Moreover, the adaptive mechanism is designed in an independent structure to the main state observer which offers more freedom for both attack-free and attacked situations. Finally, simulation results are provided to verify the effectiveness of the proposed method.