Paper Info
Title
Average consensus of a class of multi-agent systems with Markov switching topology and time-varying delays
Abstract
Considering the network restrictions such as multiple time-varying delays, Markov random switching topology, average-consensus sufficient conditions for the multi-agent network systems with time-delay are proposed. Firstly, by using the idea of state decomposition, consensus problem is converted into analysis system stability. And then, by using orthogonal transformation techniques, the original system can be turned into a reduced dimensional system. Considering multiple time-varying delays and switching topologies, Lyapunov-Krasovskii functional is constructed to analyze the stability. The conservatism of the algorithm is reduced by using free-weighting matrices method. Numerical simulations show the effectiveness of our theoretical results.
Year
DOI
Venue
2014
10.1109/ROBIO.2014.7090659
ROBIO
Keywords
Field
DocType
free weighting matrices method,lyapunov-krasovskii functional,analysis system stability,average consensus sufficient condition,reduced order systems,markov random switching topology,time-varying delays,matrix algebra,reduced dimensional system,delays,multi-agent systems,multiagent network system,switching systems (control),state decomposition,orthogonal transformation techniques,consensus problem,stability,markov processes,biomimetics,robots
Consensus,Topology,Orthogonal transformation,Control theory,Matrix (mathematics),Markov chain,Biomimetics,Multi-agent system,Control engineering,Network topology,Robot,Mathematics
Conference
Citations 
PageRank 
References 
0
0.34
1
Authors
2
Name
Order
Citations
PageRank
Lin Li1132.70
Yuting Kang200.34