Publisher DOI: | 10.23919/ACC.2018.8431183 | Title: | Distributed Approach to Dynamic Quantization for Multi-Agent Systems | Language: | English | Authors: | Jadhav, Shashank ![]() Datar, Adwait Werner, Herbert |
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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