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Simulation study demonstrates robust collaborative control in modular transport vehicles, indicating improved tracking accuracy and chattering suppression under dynamic uncertainties.
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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Zhao et al. (2026) studied this question.
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