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

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 strate...

Full description

Saved in:
Bibliographic Details
Main Authors: Liu, Xinghua, Tay, Wee Peng, Liu, Zhi-Wei, Xiao, Gaoxi
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/144306
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-144306
record_format dspace
spelling sg-ntu-dr.10356-1443062020-10-28T02:13:17Z Quasi-synchronization of heterogeneous networks with a generalized Markovian topology and event-triggered communication Liu, Xinghua Tay, Wee Peng Liu, Zhi-Wei Xiao, Gaoxi School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Generalized Markovian Topology Event-triggered Control 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 2020-10-28T01:05:28Z 2020-10-28T01:05:28Z 2020 Journal Article Liu, X., Tay, W. P., Liu, Z.-W., & Xiao, G. (2020). Quasi-synchronization of heterogeneous networks with a generalized Markovian topology and event-triggered communication. IEEE Transactions on Cybernetics, 50(10), 4200-4213. doi:10.1109/TCYB.2019.2891536 2168-2267 https://hdl.handle.net/10356/144306 10.1109/TCYB.2019.2891536 10 50 4200 4213 en IEEE Transactions on Cybernetics IEEE Transactions on Cybernetics © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TCYB.2019.2891536 14 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Generalized Markovian Topology
Event-triggered Control
spellingShingle Engineering::Electrical and electronic engineering
Generalized Markovian Topology
Event-triggered Control
Liu, Xinghua
Tay, Wee Peng
Liu, Zhi-Wei
Xiao, Gaoxi
Quasi-synchronization of heterogeneous networks with a generalized Markovian topology and event-triggered communication
description 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.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Liu, Xinghua
Tay, Wee Peng
Liu, Zhi-Wei
Xiao, Gaoxi
format Article
author Liu, Xinghua
Tay, Wee Peng
Liu, Zhi-Wei
Xiao, Gaoxi
author_sort Liu, Xinghua
title Quasi-synchronization of heterogeneous networks with a generalized Markovian topology and event-triggered communication
title_short Quasi-synchronization of heterogeneous networks with a generalized Markovian topology and event-triggered communication
title_full Quasi-synchronization of heterogeneous networks with a generalized Markovian topology and event-triggered communication
title_fullStr Quasi-synchronization of heterogeneous networks with a generalized Markovian topology and event-triggered communication
title_full_unstemmed Quasi-synchronization of heterogeneous networks with a generalized Markovian topology and event-triggered communication
title_sort quasi-synchronization of heterogeneous networks with a generalized markovian topology and event-triggered communication
publishDate 2020
url https://hdl.handle.net/10356/144306
_version_ 1683493789152313344