Prescribed-Time Synchronization of Stochastic Complex Networks With High-Gain Coupling

Yongbao Wu; Haihua Guo; Lei Xue; Nallappan Gunasekaran; Jian Liu

doi:10.1109/TCSII.2023.3271150

Prescribed-Time Synchronization of Stochastic Complex Networks With High-Gain Coupling

Yongbao Wu
, Haihua Guo
, Lei Xue
, Nallappan Gunasekaran
, Jian Liu

Division of Business and Hospitality Management (BHM)

Research output: Contribution to journal › Article › peer-review

28 Citations (Scopus)

Abstract

This brief considers prescribed-time synchronization of stochastic complex networks via a high-gain function. Different from fixed-time synchronization, the high-gain function is considered in the coupling term of the stochastic complex networks, which enables the stochastic complex networks to achieve the prescribed-time synchronization in a predetermined time rather than relying on the design of system parameters. Moreover, a synchronization criterion is provided. Besides, we can get that the coupling term with the high-gain function is bounded. Finally, two examples with numerical simulations are provided.

Original language	English
Pages (from-to)	4133-4137
Number of pages	5
Journal	IEEE Transactions on Circuits and Systems II: Express Briefs
Volume	70
Issue number	11
DOIs	https://doi.org/10.1109/TCSII.2023.3271150
Publication status	Published - 1 Nov 2023

Keywords

high-gain coupling
Prescribed-time synchronization
Stochastic complex networks

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10.1109/TCSII.2023.3271150

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abstract = "This brief considers prescribed-time synchronization of stochastic complex networks via a high-gain function. Different from fixed-time synchronization, the high-gain function is considered in the coupling term of the stochastic complex networks, which enables the stochastic complex networks to achieve the prescribed-time synchronization in a predetermined time rather than relying on the design of system parameters. Moreover, a synchronization criterion is provided. Besides, we can get that the coupling term with the high-gain function is bounded. Finally, two examples with numerical simulations are provided.",

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AU - Xue, Lei

AU - Gunasekaran, Nallappan

AU - Liu, Jian

PY - 2023/11/1

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N2 - This brief considers prescribed-time synchronization of stochastic complex networks via a high-gain function. Different from fixed-time synchronization, the high-gain function is considered in the coupling term of the stochastic complex networks, which enables the stochastic complex networks to achieve the prescribed-time synchronization in a predetermined time rather than relying on the design of system parameters. Moreover, a synchronization criterion is provided. Besides, we can get that the coupling term with the high-gain function is bounded. Finally, two examples with numerical simulations are provided.

AB - This brief considers prescribed-time synchronization of stochastic complex networks via a high-gain function. Different from fixed-time synchronization, the high-gain function is considered in the coupling term of the stochastic complex networks, which enables the stochastic complex networks to achieve the prescribed-time synchronization in a predetermined time rather than relying on the design of system parameters. Moreover, a synchronization criterion is provided. Besides, we can get that the coupling term with the high-gain function is bounded. Finally, two examples with numerical simulations are provided.

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KW - Prescribed-time synchronization

KW - Stochastic complex networks

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ER -

Prescribed-Time Synchronization of Stochastic Complex Networks With High-Gain Coupling

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