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Quasi-synchronization of heterogeneous networks with a generalized Markovian topology and event-triggered communication

Authors :
Gaoxi Xiao
Xinghua Liu
Zhi-Wei Liu
Wee Peng Tay
School of Electrical and Electronic Engineering
Publication Year :
2020

Abstract

We consider the quasi-synchronization problem of a continuous time generalized Markovian switching heterogeneous network with time-varying connectivity, using pinned nodes that are event-triggered to reduce the frequency of controller updates and internode communications. We propose a pinning strategy algorithm to determine how many and which nodes should be pinned in the network. Based on the assumption that a network has limited control efficiency, we derive a criterion for stability, which relates the pinning feedback gains, the coupling strength, and the inner coupling matrix. By utilizing the stochastic Lyapunov stability analysis, we obtain sufficient conditions for exponential quasi-synchronization under our stochastic event-triggering mechanism, and a bound for the quasi-synchronization error. Numerical simulations are conducted to verify the effectiveness of the proposed control strategy. Accepted version

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....6a2e3cd3fd60d90cc128f830917e003f