This paper addresses the real-time control of multiple agents in the presence of disturbances and non-convex collision avoidance constraints. The goal is to guarantee the convergence towards a tight formation. A single optimal control problem is solved based on a prediction of the future evolution of the system and the resulting controller is implemented in a centralized way. At the supervision level, it is shown that the decision about which agents should take on what role in the desired tight formation is equivalent with a classical pairing (or task assignment) problem. Furthermore, the pairing is re-evaluated at each iteration. The proposed method exhibits effective performance validated through some illustrative examples. © 2012 Springer-Verlag.
CITATION STYLE
Prodan, I., Olaru, S., Stoica, C., & Niculescu, S. I. (2012). On the tight formation for multi-agent dynamical systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7327 LNAI, pp. 554–565). https://doi.org/10.1007/978-3-642-30947-2_60
Mendeley helps you to discover research relevant for your work.