Practical Prescribed-Time Bipartite Time-Varying Formation Control for Multiagent Systems With Adaptive Self-Triggered

This paper investigates the problem of practical prescribed-time fuzzy bipartite time-varying formation control for nonlinear multiagent systems. To achieve practical prescribed-time control, a bounded and continuous prescribed-time evolution function is constructed, and a new stability lemma is derived, proving that the proposed controller avoids singularities and ensures synchronization errors converge to a neighborhood independent of initial conditions within the prescribed time. Considering cooperative-competitive interactions among the agents, a fuzzy bipartite time-varying formation controller is designed to achieve formation control within a specified time while keeping all closed-loop signals bounded. Furthermore, to reduce communication costs, an adaptive self-triggered mechanism is introduced. This mechanism maps the prescribed time to a dynamic triggering function, enabling the controller to adjust triggering conditions based on the user-defined convergence time, thereby balancing speed and communication costs. Finally, the effectiveness of the proposed method is validated through a simulation case involving five unmanned ground vehicles.

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Publication Details

Journal
IEEE Transactions on Automation Science and Engineering
Published
2025-01-01
DOI
https://doi.org/10.1109/tase.2025.3579029
Citations
4
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
Field-Weighted Citation Impact
4.86

Funders

Controls
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article

Practical Prescribed-Time Bipartite Time-Varying Formation Control for Multiagent Systems With Adaptive Self-Triggered

Chenguang Yang, Tieshan Li, Hongjing Liang, Shuxing Xuan
4 citations
IEEE Transactions on Automation Science and Engineering
Adaptive Control of Nonlinear Systems
4.86
article

Practical Prescribed-Time Bipartite Time-Varying Formation Control for Multiagent Systems With Adaptive Self-Triggered

Chenguang Yang, Tieshan Li, Hongjing Liang, Shuxing Xuan
article en
4 citations

Abstract

This paper investigates the problem of practical prescribed-time fuzzy bipartite time-varying formation control for nonlinear multiagent systems. To achieve practical prescribed-time control, a bounded and continuous prescribed-time evolution function is constructed, and a new stability lemma is derived, proving that the proposed controller avoids singularities and ensures synchronization errors converge to a neighborhood independent of initial conditions within the prescribed time. Considering cooperative-competitive interactions among the agents, a fuzzy bipartite time-varying formation controller is designed to achieve formation control within a specified time while keeping all closed-loop signals bounded. Furthermore, to reduce communication costs, an adaptive self-triggered mechanism is introduced. This mechanism maps the prescribed time to a dynamic triggering function, enabling the controller to adjust triggering conditions based on the user-defined convergence time, thereby balancing speed and communication costs. Finally, the effectiveness of the proposed method is validated through a simulation case involving five unmanned ground vehicles.

IEEE Transactions on Automation Science and EngineeringVol. 22
University of Liverpool (GB), University of Electronic Science and Technology of China (CN)
National Natural Science Foundation of China
Zero hunger
Openalex Percentile: Top 5%
Adaptive Control of Nonlinear Systems
4.86
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