@misc{Prodan_Ionela_Predictive,
 author={Prodan, Ionela and Olaru, Sorin and Stoica, Cristina and Niculescu, Silviu-Iulian},
 howpublished={online},
 publisher={Zielona Góra: Uniwersytet Zielonogórski},
 language={eng},
 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.},
 abstract={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.},
 type={artykuł},
 title={Predictive control for trajectory tracking and decentralized navigation of multi-agent formations},
 keywords={multi-agent systems, linear systems, model predictive control, potential function, polyhedral function},
}