Name
Abstract | ||
|---|---|---|
A multi-agent system consisting of N agents is considered. The problem of steering each agent from its initial position to a desired goal while avoiding collisions with obstacles and other agents is studied. This problem, referred to as the multi-agent collision avoidance problem, is formulated as a differential game. Dynamic feedback strategies that approximate the feedback Nash equilibrium solutions of the differential game are constructed and it is shown that, provided certain assumptions are satisfied, these guarantee that the agents reach their targets while avoiding collisions. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TAC.2017.2680602 | IEEE Trans. Automat. Contr. |
Keywords | Field | DocType |
Games,Collision avoidance,Multi-agent systems,Nash equilibrium,Electronic mail,Geometry,Navigation | Mathematical optimization,Control theory,Differential game,Multi-agent system,Collision,Coverage control,Nash equilibrium,Mathematics,Mobile sensor networks | Journal |
Volume | Issue | ISSN |
62 | 8 | 0018-9286 |
Citations | PageRank | References |
13 | 0.78 | 23 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thulasi Mylvaganam | 1 | 40 | 9.84 |
| Mario Sassano | 2 | 152 | 30.65 |
| Alessandro Astolfi | 3 | 1554 | 169.77 |