Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/144306
Title: Quasi-synchronization of heterogeneous networks with a generalized Markovian topology and event-triggered communication
Authors: Liu, Xinghua
Tay, Wee Peng
Liu, Zhi-Wei
Xiao, Gaoxi
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2020
Source: 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
Journal: IEEE Transactions on Cybernetics
Series/Report no.: IEEE Transactions on Cybernetics
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.
URI: https://hdl.handle.net/10356/144306
ISSN: 2168-2267
DOI: 10.1109/TCYB.2019.2891536
Rights: © 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
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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