Distributed Approach to Dynamic Quantization for Multi-Agent Systems

Publikationstyp
Conference Paper
Publikationsdatum
2018-08-09
Sprache
English
Author
Jadhav, Shashank orcid-logo
Datar, Adwait 
Werner, Herbert 
Institut
Regelungstechnik E-14 
TORE-URI
http://hdl.handle.net/11420/2490
Enthalten in
Proceedings of the American Control Conference 
Start Page
2473
End Page
2478
Citation
American Control Conference (2018-June): 2473-2478 (2018-08-09)
Contribution to Conference
American Control Conference, ACC 2018 
Publisher DOI
10.23919/ACC.2018.8431183
Scopus ID
2-s2.0-85052583332
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.