Title :
Quantized consensus of first-order multi-agent systems under directed communication topologies
Author :
Jianzhen Li ; Shuxia Ye
Author_Institution :
Sch. of Electron. & Inf., Jiangsu Univ. of Sci. & Technol., Zhenjiang, China
Abstract :
This paper investigates the sampled-data based consensus problem of first-order multi-agent systems with quantized communication. A deterministic consensus protocol with the logarithmic quantizer proposed in the literature is reinvestigated. A new sufficient condition is derived under which consensus is achieved. It is proved that for any network topology that has a directed spanning tree, consensus is achieved if the quantization accuracy parameter and the sampling period are small enough. A numerical example is given to illustrate the theoretical results.
Keywords :
multi-robot systems; sampled data systems; trees (mathematics); deterministic consensus protocol; directed communication topology; directed spanning tree; first-order multiagent systems; logarithmic quantizer; network topology; quantization accuracy parameter; quantized communication; quantized consensus; sampled-data based consensus problem; sampling period; Accuracy; Eigenvalues and eigenfunctions; Heuristic algorithms; Multi-agent systems; Network topology; Quantization (signal); Topology;
Conference_Titel :
Control and Automation (ICCA), 2013 10th IEEE International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-4707-5
DOI :
10.1109/ICCA.2013.6564980