Intermittent Dynamic Event-Triggered Control for Synchronization of Stochastic Complex Networks

Yongbao Wu; Bing Shen; Choon Ki Ahn; Wenxue Li

doi:10.1109/TCSI.2021.3071034

Intermittent Dynamic Event-Triggered Control for Synchronization of Stochastic Complex Networks

Yongbao Wu, Bing Shen, Choon Ki Ahn, Wenxue Li

School of Electrical Engineering

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

53 Citations (Scopus)

Abstract

A novel intermittent dynamic event-triggered control is proposed to investigate the exponential synchronization in mean square (ESMS) of stochastic complex networks (SCNs). In contrast to existing literature, the proposed intermittent control is based on dynamic event-triggering instead of static time-triggering during the control interval. Meanwhile, the number of event triggers can be reduced by introducing an exponential function. Moreover, for each sample path solution of SCNs, the existence of a minimum positive inter-event time is guaranteed in all the event-generators proposed in this paper. In addition, based on the Lyapunov method and the graph theory, synchronization criteria for the ESMS of SCNs under the intermittent dynamic event-triggered control are established. Finally, theoretical results are applied to islanded microgrid systems and simulations are given to verify the effectiveness of the results.

Original language	English
Article number	9399148
Pages (from-to)	2639-2650
Number of pages	12
Journal	IEEE Transactions on Circuits and Systems I: Regular Papers
Volume	68
Issue number	6
DOIs	https://doi.org/10.1109/TCSI.2021.3071034
Publication status	Published - 2021 Jun

Bibliographical note

Funding Information:
Manuscript received October 17, 2020; revised February 13, 2021; accepted March 31, 2021. Date of publication April 8, 2021; date of current version May 27, 2021. This work was supported in part by the Innovation Technology Funding Project in Harbin Institute of Technology under Grant HIT.NSRIF.201703; in part by the Natural Science Foundation of Shandong Province under Grant ZR2017MA008, Grant ZR2018MA020, and Grant ZR2018MA005; in part by the Key Project of Science and Technology of Weihai under Grant 2014DXGJMS08; and in part by the National Research Foundation of Korea (NRF) Grant through the Korean Government (Ministry of Science and ICT) under Grant NRF-2020R1A2C1005449. This article was recommended by Associate Editor T. Fernando. (Corresponding authors: Choon Ki Ahn; Wenxue Li.) Yongbao Wu and Wenxue Li are with the Department of Mathematics, Harbin Institute of Technology, Weihai 264209, China (e-mail: yongbaowu199211@163.com; wenxue810823@163.com).

Publisher Copyright:
© 2004-2012 IEEE.

Keywords

Intermittent control
event-triggered control
exponential synchronization
stochastic complex networks

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/TCSI.2021.3071034

Cite this

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title = "Intermittent Dynamic Event-Triggered Control for Synchronization of Stochastic Complex Networks",

abstract = "A novel intermittent dynamic event-triggered control is proposed to investigate the exponential synchronization in mean square (ESMS) of stochastic complex networks (SCNs). In contrast to existing literature, the proposed intermittent control is based on dynamic event-triggering instead of static time-triggering during the control interval. Meanwhile, the number of event triggers can be reduced by introducing an exponential function. Moreover, for each sample path solution of SCNs, the existence of a minimum positive inter-event time is guaranteed in all the event-generators proposed in this paper. In addition, based on the Lyapunov method and the graph theory, synchronization criteria for the ESMS of SCNs under the intermittent dynamic event-triggered control are established. Finally, theoretical results are applied to islanded microgrid systems and simulations are given to verify the effectiveness of the results. ",

keywords = "Intermittent control, event-triggered control, exponential synchronization, stochastic complex networks",

author = "Yongbao Wu and Bing Shen and Ahn, {Choon Ki} and Wenxue Li",

note = "Funding Information: Manuscript received October 17, 2020; revised February 13, 2021; accepted March 31, 2021. Date of publication April 8, 2021; date of current version May 27, 2021. This work was supported in part by the Innovation Technology Funding Project in Harbin Institute of Technology under Grant HIT.NSRIF.201703; in part by the Natural Science Foundation of Shandong Province under Grant ZR2017MA008, Grant ZR2018MA020, and Grant ZR2018MA005; in part by the Key Project of Science and Technology of Weihai under Grant 2014DXGJMS08; and in part by the National Research Foundation of Korea (NRF) Grant through the Korean Government (Ministry of Science and ICT) under Grant NRF-2020R1A2C1005449. This article was recommended by Associate Editor T. Fernando. (Corresponding authors: Choon Ki Ahn; Wenxue Li.) Yongbao Wu and Wenxue Li are with the Department of Mathematics, Harbin Institute of Technology, Weihai 264209, China (e-mail: yongbaowu199211@163.com; wenxue810823@163.com). Publisher Copyright: {\textcopyright} 2004-2012 IEEE.",

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N2 - A novel intermittent dynamic event-triggered control is proposed to investigate the exponential synchronization in mean square (ESMS) of stochastic complex networks (SCNs). In contrast to existing literature, the proposed intermittent control is based on dynamic event-triggering instead of static time-triggering during the control interval. Meanwhile, the number of event triggers can be reduced by introducing an exponential function. Moreover, for each sample path solution of SCNs, the existence of a minimum positive inter-event time is guaranteed in all the event-generators proposed in this paper. In addition, based on the Lyapunov method and the graph theory, synchronization criteria for the ESMS of SCNs under the intermittent dynamic event-triggered control are established. Finally, theoretical results are applied to islanded microgrid systems and simulations are given to verify the effectiveness of the results.

AB - A novel intermittent dynamic event-triggered control is proposed to investigate the exponential synchronization in mean square (ESMS) of stochastic complex networks (SCNs). In contrast to existing literature, the proposed intermittent control is based on dynamic event-triggering instead of static time-triggering during the control interval. Meanwhile, the number of event triggers can be reduced by introducing an exponential function. Moreover, for each sample path solution of SCNs, the existence of a minimum positive inter-event time is guaranteed in all the event-generators proposed in this paper. In addition, based on the Lyapunov method and the graph theory, synchronization criteria for the ESMS of SCNs under the intermittent dynamic event-triggered control are established. Finally, theoretical results are applied to islanded microgrid systems and simulations are given to verify the effectiveness of the results.

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Intermittent Dynamic Event-Triggered Control for Synchronization of Stochastic Complex Networks

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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