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Cited by 257

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

Predefined-Time Consensus Tracking of Second-Order Multiagent Systems

Ni, Junkang, Liu, Ling, Tang, Yang, Liu, Chongxin·2021·IEEE Transactions on Systems, Man, and Cybernetics: Systems

Abstract

In this paper, the predefined-time consensus tracking problem of second-order multiagent systems (MASs) is investigated. A distributed observer is presented to estimate the tracking error for each follower within predefined time. A novel sliding surface is constructed to ensure predefined-time system convergence along the sliding surface and a terminal sliding mode consensus protocol is presented to overcome singularity problem and achieve leader-following consensus within predefined time. It is mathematically proved that the followers' states can track the leader's trajectory within predefined time. In particular, the settling time bound is directly related to tunable parameters, which facilitates the control protocol design to meet the desired convergence time requirement. Besides, the estimation bound for convergence time is less conservative than some existing fixed-time consensus protocols. The effectiveness of the proposed method is verified by the consensus tracking control for networked single-link robotic manipulators.

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Metadata

Authors
Ni, J., Liu, L., Tang, Y., & Liu, C.
Venue
IEEE Transactions on Systems, Man, and Cybernetics: Systems
Published
2021-04
Volume
51
Issue
4
Pages
2550-2560
ISSN
  • 2168-2216 (ISSN-L)
  • 2168-2232
OpenAlex
W2946074838
Cited by
257
References
29
FWCI
7.30
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Predefined-Time Consensus Tracking of Second-Order Multiagent Systems. https://app.cochat.ai/papers/10.1109/tsmc.2019.2916257
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Ni, J., Liu, L., Tang, Y., & Liu, C. (2021). Predefined-Time Consensus Tracking of Second-Order Multiagent Systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems. https://doi.org/10.1109/tsmc.2019.2916257

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