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Cited by 266

The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.

Fixed-Time Leader–Follower Consensus of Networked Nonlinear Systems via Event/Self-Triggered Control

Liu, Jian, Zhang, Yanling, Yu, Yao, Sun, Changyin·2020·IEEE Transactions on Neural Networks and Learning Systems

Abstract

This brief addresses the fixed-time event/self-triggered leader-follower consensus problems for networked multi-agent systems subject to nonlinear dynamics. First, we present an event-triggered control strategy to achieve the fixed-time consensus, and a new measurement error is designed to avoid Zeno behavior. Then, two new self-triggered control strategies are presented to avoid continuous triggering condition monitoring. Moreover, under the proposed self-triggered control strategies, a strictly positive minimal triggering interval of each follower is given to exclude Zeno behavior. Compared with the existing fixed-time event-triggered results, we propose two new self-triggered control strategies, and the nonlinear term is more general. Finally, the performances of the consensus tracking algorithms are illustrated by a simulation example.

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Metadata

Authors
Liu, J., Zhang, Y., Yu, Y., & Sun, C.
Venue
IEEE Transactions on Neural Networks and Learning Systems
Published
2020-11
Volume
31
Issue
11
Pages
5029-5037
ISSN
  • 2162-237X (ISSN-L)
  • 2162-2388
OpenAlex
W3000514729
Cited by
266
References
55
FWCI
21.33
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Fixed-Time Leader–Follower Consensus of Networked Nonlinear Systems via Event/Self-Triggered Control. https://app.cochat.ai/papers/10.1109/tnnls.2019.2957069
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Liu, J., Zhang, Y., Yu, Y., & Sun, C. (2020). Fixed-Time Leader–Follower Consensus of Networked Nonlinear Systems via Event/Self-Triggered Control. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/tnnls.2019.2957069

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