Predictive Control for Trajectory Tracking and Decentralized Navigation of Multi-Agent Formations
Résumé
This paper addresses a predictive control strategy for multi-agent formations with a time-varying topology. The goal is to guarantee a trajectory tracking, where a reference trajectory is specified for an agent designed as the leader. Then, a predictive control strategy combined with the Potential Field method is used in order to derive a control action based only on local information within the group of agents. The main concern is that the interconnections between the agents are time-varying, affecting the neighborhood around each agent. The proposed method exhibits effective performance validated through some illustrative examples.
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