Distributed Adaptive State Estimation for CPSs Under Deception Attacks
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.
Authors
- Chao Deng (ORCID: https://orcid.org/0000-0002-6148-1034)
- Bo‐Chao Zheng (ORCID: https://orcid.org/0000-0001-6142-6580)
- Yan Liu (ORCID: https://orcid.org/0000-0003-3113-4303)
- Peng Lin (ORCID: https://orcid.org/0000-0001-9416-7343)
- Tao Yin (ORCID: https://orcid.org/0000-0002-9198-6068)
- Sha Fan (ORCID: https://orcid.org/0009-0008-6164-2185)
Institutions
- Nanjing University of Information Science and Technology (CN)
- Nanjing University of Science and Technology (CN)
- Nanjing University of Posts and Telecommunications (CN)
- Changzhou University (CN)
Publication Details
- Journal
- IEEE Transactions on Industrial Informatics
- Published
- 2025-08-08
- DOI
- https://doi.org/10.1109/tii.2025.3588633
- Primary Topic
- Network Security and Intrusion Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation