|Publisher DOI:||10.23919/ACC.2018.8431183||Title:||Distributed Approach to Dynamic Quantization for Multi-Agent Systems||Language:||English||Authors:||Jadhav, Shashank
|Issue Date:||9-Aug-2018||Source:||American Control Conference (2018-June): 2473-2478 (2018-08-09)||Abstract (english):||
We propose a distributed approach to dynamic quantization for discrete time multi-agent systems with local memory storage at each agent. The usual assumption of a common memory storage is relaxed and the zooming-in/zooming-out strategy is based on a scaling factor which is additionally communicated. We use the notion of small lp signal lp stability to prove the effectiveness of our approach and provide a bound on the quantization error.
|Conference:||American Control Conference, ACC 2018||URI:||http://hdl.handle.net/11420/2490||ISBN:||978-153865428-6||ISSN:||0743-1619||Journal:||Proceedings of the American Control Conference||Institute:||Regelungstechnik E-14||Document Type:||Chapter/Article (Proceedings)||Project:||Multi-Agent Systems|
|Appears in Collections:||Publications without fulltext|
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