Paper Info
Title
Self-Triggered Control For Multi-Agent Systems With Quantized Communication Or Sensing
Abstract
The consensus problem for multi-agent systems with quantized communication or sensing is considered. Centralized and distributed self-triggered rules are proposed to reduce the overall need of communication and system updates. It is proved that these self-triggered rules realize consensus exponentially if the network topologies have a spanning tree and the quantization function is uniform. Numerical simulations are provided to show the effectiveness of the theoretical results.
Year
DOI
Venue
2016
10.1109/CDC.2016.7798594
2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC)
DocType
Volume
ISSN
Conference
abs/1604.02832
0743-1546
Citations 
PageRank 
References 
0
0.34
15
Authors
3
Name
Order
Citations
PageRank
Xinlei Yi11169.37
Jieqiang Wei2216.28
Karl Henrik Johansson33996322.75