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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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