1. Data-Driven Resilient Control for Linear Discrete-Time Multi-Agent Networks Under Unconfined Cyber-Attacks.
- Author
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Zhang, Wenle, Mao, Shuai, Huang, Jiahao, Kocarev, Ljupco, and Tang, Yang
- Subjects
- *
RESILIENT design , *HEURISTIC algorithms , *COMPUTER simulation - Abstract
In this paper, the resilient control for linear discrete-time multi-agent networks subjected to unconfined cyber-attacks is investigated based on a data-driven method. Firstly, according to the evolution of the original network dynamics, a distributed data-driven estimation algorithm is presented. On this basis, a switching control law is proposed to solve the resilient consensus problem for the discrete-time multi-agent network under unconfined cyber-attacks. Further, some necessary and sufficient conditions for designing the resilient controllers are obtained by solving a nonlinear matrix inequation. Secondly, the proposed data-driven method is extended to study the resilient tracking control and formation control problems. Finally, some numerical simulations are provided to verify the effectiveness of the data-driven resilient control method. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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