|Title:||Distributed model predictive control w-ith obstacle communication||Language:||English||Authors:||Kloock, Christine
|Issue Date:||Jul-2019||Source:||Proceedings of the American Control Conference : 8815183 (2019-07)||Abstract (english):||This paper presents a distributed model predictive control approach for multiagent systems, where the agents are vehicles required to move from given initial positions to individual target points in the presence of obstacles. A global cost function is approximated such that each agent minimizes a local cost function based on locally available information. Within a given communication distance agents exchange their position and target information together with information about detected obstacles, which are represented by ellipses. Simulation studies illustrate the proposed method.||Conference:||American Control Conference 2019||URI:||http://hdl.handle.net/11420/3449||ISBN:||978-153867926-5||Institute:||Regelungstechnik E-14||Type:||InProceedings (Aufsatz / Paper einer Konferenz etc.)|
|Appears in Collections:||Publications without fulltext|
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