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

Ionela Prodan 1 Sorin Olaru 2, 1 Cristina Stoica 1 Silviu-Iulian Niculescu 2, 3
2 DISCO - Dynamical Interconnected Systems in COmplex Environments
L2S - Laboratoire des signaux et systèmes, Inria Saclay - Ile de France, SUPELEC, CNRS - Centre National de la Recherche Scientifique : UMR8506
3 Division Systèmes - L2S
L2S - Laboratoire des signaux et systèmes : 1289
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.
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Journal articles
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https://hal-supelec.archives-ouvertes.fr/hal-00826632
Contributor : Josiane Dartron <>
Submitted on : Tuesday, May 28, 2013 - 9:05:04 AM
Last modification on : Tuesday, June 4, 2019 - 11:08:06 AM

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Ionela Prodan, Sorin Olaru, Cristina Stoica, Silviu-Iulian Niculescu. Predictive Control for Trajectory Tracking and Decentralized Navigation of Multi-Agent Formations. International Journal of Applied Mathematics and Computer Science, De Gruyter, 2013, 23 (1), pp.91-102. ⟨10.2478/amcs-2013-0008⟩. ⟨hal-00826632⟩

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