Robust Predefined-Time Control for Optimal Formation of Networked Mobile Vehicle Systems

Dear Editor, This letter addresses the robust predefined-time control challenge for leaderless optimal formation in networked mobile vehicle (NMV) systems. The aim is to minimize a composite global cost function derived from individual strongly convex functions of each agent, considering both input disturbances and network communication constraints. A novel predefined-time optimal formation control (PTOFC) algorithm is presented, ensuring agent state convergence to optimal formation positions within an adjustable settling time. Through the integration of an integral sliding mode technique, disturbances are effectively countered. A representative numerical example highlights the effectiveness and robustness of the developed approach.

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Publication Details

Journal
IEEE/CAA Journal of Automatica Sinica
Published
2025-03-31
DOI
https://doi.org/10.1109/jas.2023.124023
Citations
1
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
1.21

Funders

Controls
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article

Robust Predefined-Time Control for Optimal Formation of Networked Mobile Vehicle Systems

Ming‐Feng Ge, Ming Chi, Jing‐Zhe Xu, Zhi‐Wei Liu et al.
1 citations
IEEE/CAA Journal of Automatica Sinica
Traffic control and management
1.21
article

Robust Predefined-Time Control for Optimal Formation of Networked Mobile Vehicle Systems

Ming‐Feng Ge, Ming Chi, Jing‐Zhe Xu, Zhi‐Wei Liu, Dingxin He
article en
1 citations

Abstract

Dear Editor, This letter addresses the robust predefined-time control challenge for leaderless optimal formation in networked mobile vehicle (NMV) systems. The aim is to minimize a composite global cost function derived from individual strongly convex functions of each agent, considering both input disturbances and network communication constraints. A novel predefined-time optimal formation control (PTOFC) algorithm is presented, ensuring agent state convergence to optimal formation positions within an adjustable settling time. Through the integration of an integral sliding mode technique, disturbances are effectively countered. A representative numerical example highlights the effectiveness and robustness of the developed approach.

IEEE/CAA Journal of Automatica SinicaVol. 12(4)
Academic Degrees & Graduate Education (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 23%
Traffic control and management
1.21
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Robust Predefined-Time Control for Optimal Formation of Networked Mobile Vehicle Systems — Ming‐Feng Ge, Ming Chi, et al. · IEEE/CAA Journal of Automatica Sinica (2025) | TGRS Research Map | TGRS