Conflict-Predictive Variable Horizons in Multi-Drone Distributed Model Predictive Control
A conflict-predictive variable horizon that each drone sets locally, leaving the distributed model predictive control itself unchanged, is proposed, and it is proved that recursive feasibility and asymptotic stability are preserved for every horizon the policy can select.
Linda Mümken, Michael Schwung, Stefan Lier et al.
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