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De Gruyter Open, International Journal of Applied Mathematics and Computer Science, 1(23)

DOI: 10.2478/amcs-2013-0008

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Predictive Control for Trajectory Tracking and Decentralized Navigation of Multi-Agent Formations

Journal article published in 2013 by Ionela Prodan, Sorin Olaru, Cristina Stoica, Silviu-Iulian Niculescu ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

This paper addresses a predictive control strategy for a particular class of multi-agent formations with a time-varying topology. The goal is to guarantee tracking capabilities with respect to a reference trajectory which is pre-specified for an agent designed as the leader. Then, the remaining agents, designed as followers, track the position and orientation of the leader. In real-time, a predictive control strategy enhanced with the potential field methodology is used in order to derive a feedback 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.