Paper Info
Title
Fuzzy sampled controller design for consensus of multiagent networks with varying connections
Abstract
T-S fuzzy models are first presented to describe multiagent networks (MANs) with varying connections. The nodes of each T-S fuzzy model are rearranged so that the global fuzzy model is decomposed into independent and small-scale fuzzy models. It is shown that the consensus of the global fuzzy model is equivalent to that of its corresponding small-scale fuzzy models in which the sampled controller is applied. A sufficient condition is derived to ensure the consensus of the sampled controlling fuzzy models.
Year
DOI
Venue
2013
10.1109/ASCC.2013.6606201
ASCC
Keywords
Field
DocType
varying connections,fuzzy set theory,t-s fuzzy model,sampled data systems,control system synthesis,fuzzy sampled controller design,man,multi-agent systems,global fuzzy model,small-scale fuzzy models,fuzzy control,consensus problem,multiagent networks,control systems,asymptotic stability,multi agent systems,computational modeling,fuzzy systems
Neuro-fuzzy,Fuzzy classification,Defuzzification,Control theory,Fuzzy set operations,Fuzzy logic,Fuzzy control system,Fuzzy associative matrix,Fuzzy number,Mathematics
Conference
Volume
Issue
ISSN
null
null
null
ISBN
Citations 
PageRank 
978-1-4673-5767-8
0
0.34
References 
Authors
8
4
Name
Order
Citations
PageRank
Wenjun Xiong122520.20
Wenwu Yu24340185.95
J. Lu301.69
Xinghuo Yu43954300.63