Resilient Nonlinear MPC with a Dynamic Event-Triggered Strategy Under DoS Attacks
Dear Editor, This letter deals with the stabilization of a resilient model predictive control (MPC) algorithm with a dynamic event-triggered mechanism subject to Denial-of-Service (DoS) attacks. Different from previous works, this letter is based on the designed threshold function to dynamically trigger and gives the upper bound conditions for intersampling intervals with attack and attack-free scenarios to converge. It is shown via a numerical example that the proposed algorithm can reduce the computational burden of solving open-loop optimization problems online while ensuring system stability under DoS.
Authors
- Runqi Chai (ORCID: https://orcid.org/0000-0003-4083-8863)
- Yuanqing Xia (ORCID: https://orcid.org/0000-0002-5977-4911)
- Senchun Chai (ORCID: https://orcid.org/0000-0003-1910-1795)
- Shuang Shen (ORCID: https://orcid.org/0000-0002-2856-1833)
Institutions
- Beijing Institute of Technology (CN)
Publication Details
- Journal
- IEEE/CAA Journal of Automatica Sinica
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1109/jas.2024.124851
- Citations
- 3
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 2.19