• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

A survey on cooperative fault-tolerant control for multiagent systems


Abstract

Complexity science is a new stage in the development of systems science that is the frontier areas of contemporary scientific development. Complexity science takes complex systems as the research object, which has attracted widespread attention from researchers in the fields of economy, control, management, and society. In recent years, with the rapid development of science and technology and people’s deepening understanding for the theory of complex systems, the systems are no longer an object with a single function, but the systems are composed of multiple individuals with autonomous capabilities through cooperative and cooperation, namely multi-agent system(MAS). Currently, MAS is one of the main models for studying such complex systems. The intelligent control is to break the traditional multi-agent fault-tolerant control (FTC) concept and produce a new type of compensation mechanism. In this paper, the applications of fault-tolerant control methods for MASs are presented, and a discussion is given about development and challenges in this field.


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Cite this article

[IEEE Style]
P. Zhang, D. Zhao, X. Kong, J. Zhang, L. Li, "A survey on cooperative fault-tolerant control for multiagent systems," KSII Transactions on Internet and Information Systems, vol. 18, no. 6, pp. 1431-1448, 2024. DOI: 10.3837/tiis.2024.06.001.

[ACM Style]
Pu Zhang, Di Zhao, Xiangjie Kong, Jialong Zhang, and Lei Li. 2024. A survey on cooperative fault-tolerant control for multiagent systems. KSII Transactions on Internet and Information Systems, 18, 6, (2024), 1431-1448. DOI: 10.3837/tiis.2024.06.001.

[BibTeX Style]
@article{tiis:99344, title="A survey on cooperative fault-tolerant control for multiagent systems", author="Pu Zhang and Di Zhao and Xiangjie Kong and Jialong Zhang and Lei Li and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2024.06.001}, volume={18}, number={6}, year="2024", month={June}, pages={1431-1448}}