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...

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Main Authors:	Liu, Xinghua, Tay, Wee Peng, Liu, Zhi-Wei, Xiao, Gaoxi
其他作者:	School of Electrical and Electronic Engineering
格式:	Article
語言:	English
出版:	2020
主題:	Engineering::Electrical and electronic engineering Generalized Markovian Topology Event-triggered Control
在線閱讀:	https://hdl.handle.net/10356/144306
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	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

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

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