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The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.

An Overview of Recent Advances in Fixed-Time Cooperative Control of Multiagent Systems

Zuo, Zongyu, Han, Qing-Long, Ning, Boda, Ge, Xiaohua, Zhang, Xian-Ming·2018·IEEE Transactions on Industrial Informatics

Abstract

Fixed-time cooperative control is currently a hot research topic in multiagent systems since it can provide a guaranteed settling time, which does not depend on initial conditions. Compared with asymptotic cooperative control algorithms, fixed-time cooperative control algorithms can achieve better closed-loop performance and disturbance rejection properties. Different from finite-time control, fixed-time cooperative control produces the faster rate of convergence and provides an explicit estimation of the settling time independent of initial conditions, which is desirable for multiagent systems. This paper aims at presenting an overview of recent advances in fixed-time cooperative control of multiagent systems. Some fundamental concepts about finite- and fixed-time stability and stabilization are first recalled with insight understanding. Then, recent results in finite- and fixed-time cooperative control are reviewed in detail and categorized according to different agent dynamics. Finally, this paper raises several challenging issues that need to be addressed in the near future.

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Metadata

Authors
Zuo, Z., Han, Q.-L., Ning, B., Ge, X., & Zhang, X.-M.
Venue
IEEE Transactions on Industrial Informatics
Published
2018-06
Volume
14
Issue
6
Pages
2322-2334
ISSN
  • 1551-3203 (ISSN-L)
  • 1941-0050
OpenAlex
W2794361571
Cited by
658
References
85
FWCI
45.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: An Overview of Recent Advances in Fixed-Time Cooperative Control of Multiagent Systems. https://app.cochat.ai/papers/10.1109/tii.2018.2817248
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Zuo, Z., Han, Q.-L., Ning, B., Ge, X., & Zhang, X.-M. (2018). An Overview of Recent Advances in Fixed-Time Cooperative Control of Multiagent Systems. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/tii.2018.2817248

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