Name
Abstract | ||
|---|---|---|
In this paper we propose a methodology to solve the constrained consensus problem, i.e., the consensus problem for multi-agent systems with constrained dynamics. We propose a decentralized one-step horizon optimization problem to be solved iteratively by the agents to achieve rendezvous at the centroid of the network while ensuring the connectivity of the network and the feasibility of the agents motion respect to their constrained kinematics. We also provide simulations of the algorithm behavior. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ACC.2009.5160191 | ACC'09 Proceedings of the 2009 conference on American Control Conference |
Keywords | DocType | ISSN |
invariant motion,multi-agent system,agents motion respect,decentralized one-step horizon optimization,algorithm behavior,consensus problem,networked multi-agent system,mathematical model,network topology,constraint optimization,multi agent systems,motion control,multi agent system,computer science,optimization problem,control systems,data mining,multiagent systems,optimization,computer networks,kinematics | Conference | 0743-1619 |
Citations | PageRank | References |
5 | 0.49 | 12 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mauro Franceschelli | 1 | 198 | 20.78 |
| Magnus Egerstedt | 2 | 2862 | 384.94 |
| Alessandro Giua | 3 | 1836 | 199.57 |
| Cristian Mahulea | 4 | 161 | 19.50 |