Secure State Estimation for Interval Type-2 Fuzzy Systems With FDI Attacks and Event-Triggered WTOD Protocol
The article designs a secure co-estimation approach for nonlinear systems with false data injection (FDI) attack and network bandwidth limitations, which is described by interval type-2 (IT2) fuzzy system. For mitigating communication load and avoiding network data collision, an event-triggered weighted try-once-discard protocol is implemented to adjust the data transmission frequency. Given the unknown system state and FDI attacks, both of the state observer and the attack observer are put forward. Besides, a new attack compensation controller is proposed under co-design of the observer of the state and FDI attack. The asymptotical stability of the augmented system can be realized by the proposed sufficient conditions for the existence of the fuzzy observer and controller gains, while the prescribed <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H</i><sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> performance requirement can be met. Then the secure controller design method is given accordingly. Finally, the validity of the attained results are provided by simulation examples.
Authors
- Lijuan Zha (ORCID: https://orcid.org/0000-0003-0475-8866)
- Engang Tian (ORCID: https://orcid.org/0000-0002-8169-5347)
- Tao Huang (ORCID: https://orcid.org/0000-0002-9900-1112)
- Xiangpeng Xie (ORCID: https://orcid.org/0000-0003-4822-3134)
- Chen Peng (ORCID: https://orcid.org/0000-0003-3652-2233)
- Jinliang Liu (ORCID: https://orcid.org/0000-0001-5489-0246)
Institutions
- Shanghai University (CN)
- Nanjing University of Finance and Economics (CN)
- University of Shanghai for Science and Technology (CN)
- Nanjing Forestry University (CN)
- Nanjing University of Information Science and Technology (CN)
- Nanjing University of Posts and Telecommunications (CN)
Publication Details
- Journal
- IEEE Transactions on Systems Man and Cybernetics Systems
- Published
- 2025-05-22
- DOI
- https://doi.org/10.1109/tsmc.2025.3569725
- Citations
- 9
- Primary Topic
- Network Security and Intrusion Detection
- Type
- article
- Field-Weighted Citation Impact
- 13.38
Funders
- National Natural Science Foundation of China
- Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology