Robust Practical Stabilization for Complex Dynamical Networks With DoS Attacks and Actuator Saturation
This article addresses the problem of designing an attack-resilient adaptive event-triggered (AET) controller for complex dynamical networks (CDNs) under DoS attacks and actuator saturation, with a focus on robust practical stability (RPS). First, considering the impact of DoS attacks on closed-loop systems, an AET controller against DoS attacks is designed. Unlike other event-triggered controllers, the complete timeline is divided, and the AET controller is built with two switching modes based on the intervals of dormant and active periods of DoS attacks in which the system is located. Second, to reconcile AET controller with actuator saturation, a switched system modeling approach is established that explicitly incorporates saturation constraints into the coupled network dynamics. Third, a switched Lyapunov-Krasovskii functional (LKF) is proposed, with which sufficient conditions are provided to ensured the RPS, and a joint design strategy is developed for the desired triggered matrix and feedback gain using linear matrix inequalities (LMIs). Moreover, the results are generalized to the case of actuator faults, indicating that the system is able to achieve RPS with actuator faults. Finally, the proposed method is verified through an example.
Authors
- Zhinan Peng (ORCID: https://orcid.org/0000-0003-2239-4920)
- Junzhi Yu (ORCID: https://orcid.org/0000-0002-6347-572X)
- Hongfei Li (ORCID: https://orcid.org/0000-0002-9816-717X)
- Xiaohan Shi (ORCID: https://orcid.org/0000-0002-1917-4479)
Institutions
- Southwest University (CN)
- University of Electronic Science and Technology of China (CN)
- Peking University (CN)
- State Key Laboratory of Turbulence and Complex Systems
Publication Details
- Journal
- IEEE Transactions on Systems Man and Cybernetics Systems
- Published
- 2025-02-20
- DOI
- https://doi.org/10.1109/tsmc.2025.3539781
- Citations
- 4
- Primary Topic
- Neural Networks Stability and Synchronization
- Type
- article
- Field-Weighted Citation Impact
- 5.95
Funders
- National Natural Science Foundation of China
- Fundamental Research Funds for the Central Universities