Collaborative control for modular transport vehicles: dynamic mechanism and uncertainty

This paper addresses the collaborative control of Modular Transport Vehicles under significant uncertainties. A systematic constraint-following approach is developed to resolve two intertwined challenges: compatibility between subsystem-specific and interconnection constraints, and robust performance against uncertain dynamics. First, a two-level constraint-handling mechanism is proposed, where sufficient conditions for simultaneous constraint satisfaction are rigorously derived, thus preventing constraint conflicts theoretically. Second, a unified modular dynamic model incorporating parametric uncertainties is established, facilitating system reconfiguration. Third, a leakage-type adaptive robust cooperative controller is designed to handle time-varying uncertainties without requiring a priori bound knowledge. The verification results demonstrate the controller's superiority over conventional sliding-mode control in suppressing chattering, accelerating convergence, and improving steady-state accuracy.

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Publication Details

Journal
International Journal of Control
Published
2026-08-24
DOI
https://doi.org/10.1080/00207179.2026.2720289
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Collaborative control for modular transport vehicles: dynamic mechanism and uncertainty

Ye‐Hwa Chen, Fangfang Dong, Jiancheng Long, Mengyao Li et al.
International Journal of Control
Traffic control and management
article

Collaborative control for modular transport vehicles: dynamic mechanism and uncertainty

Ye‐Hwa Chen, Fangfang Dong, Jiancheng Long, Mengyao Li, Jin Huang, Xiaomin Zhao
article en

Abstract

This paper addresses the collaborative control of Modular Transport Vehicles under significant uncertainties. A systematic constraint-following approach is developed to resolve two intertwined challenges: compatibility between subsystem-specific and interconnection constraints, and robust performance against uncertain dynamics. First, a two-level constraint-handling mechanism is proposed, where sufficient conditions for simultaneous constraint satisfaction are rigorously derived, thus preventing constraint conflicts theoretically. Second, a unified modular dynamic model incorporating parametric uncertainties is established, facilitating system reconfiguration. Third, a leakage-type adaptive robust cooperative controller is designed to handle time-varying uncertainties without requiring a priori bound knowledge. The verification results demonstrate the controller's superiority over conventional sliding-mode control in suppressing chattering, accelerating convergence, and improving steady-state accuracy.

International Journal of Control
Georgia Institute of Technology (US), Hefei University of Technology (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Anhui Province, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 14%
Traffic control and management
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Collaborative control for modular transport vehicles: dynamic mechanism and uncertainty — Ye‐Hwa Chen, Fangfang Dong, et al. · International Journal of Control (2026) | TGRS Research Map | TGRS