Title :
Multi-agent consensus with delayed quantized information
Author :
Li, Lulu ; Ho, Daniel W.C. ; Lu, Jianquan ; Huang, Chi
Author_Institution :
School of Mathematics, Hefei University of Technology, Hefei, 230009, China
Abstract :
In this paper, continuous-time multi-agent consensus problem with quantization and communication delays is investigated. Based on the non-smooth analysis, convergence results are derived for the proposed model with uniform quantizers. It is pointed out that the multi-agent network will achieve consensus asymptotically under the proposed distributed protocols. A numerical example is provided to demonstrate the effectiveness of the obtained theoretical results.
Keywords :
Artificial neural networks; Delay effects; Delays; Mathematics; Nickel; Protocols; Quantization (signal); Multi-agent networks; communication delays; consensus; quantization;
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
DOI :
10.1109/ChiCC.2015.7260845
