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Data-Driven Resilient Control for Linear Discrete-Time Multi-Agent Networks Under Unconfined Cyber-Attacks.
- Source :
-
IEEE Transactions on Circuits & Systems. Part I: Regular Papers . Feb2021, Vol. 68 Issue 2, p776-785. 10p. - Publication Year :
- 2021
-
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]
- Subjects :
- *RESILIENT design
*HEURISTIC algorithms
*COMPUTER simulation
Subjects
Details
- Language :
- English
- ISSN :
- 15498328
- Volume :
- 68
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Circuits & Systems. Part I: Regular Papers
- Publication Type :
- Periodical
- Accession number :
- 148207861
- Full Text :
- https://doi.org/10.1109/TCSI.2020.3037242