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Exponential synchronization of complex networks via intermittent dynamic event-triggered control.

Authors :
Liu, Xiaotong
Guo, Ying
Li, Mingzhu
Zhang, Yifan
Source :
Neurocomputing. May2024, Vol. 581, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

In this paper, the exponential synchronization in mean square (ESMS) of complex networks (CNs) under intermittent dynamic event-triggered control strategy (IE-TCS) is discussed. Compared with the existing literature, the intermittent control strategy (ICS) proposed is awakened when a certain situation occurs rather than periodically, which can better improve the control efficiency. The average control rate in this paper is more flexible. Furthermore, we give a positive lower bound for the event-triggered intervals to ensure that Zeno behavior does not occur. Combining the graph-theoretic approach with the Lyapunov method, some criteria for ESMS are obtained. In particular, we also discuss the ESMS of non-strongly connected CNs under IE-TCS. Besides, we combine the self-triggered control strategy (S-TCS) with the ICS, which is called the intermittent S-TCS, to study the ESMS of CNs. For practicability, the theoretical results are applied to research the ESMS of the microgrid system, and some relevant sufficient conditions are derived. Eventually, numerical simulations are put forward to verify the effectiveness of theoretical results. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
*SYNCHRONIZATION
*MICROGRIDS

Details

Language :
English
ISSN :
09252312
Volume :
581
Database :
Academic Search Index
Journal :
Neurocomputing
Publication Type :
Academic Journal
Accession number :
176356339
Full Text :
https://doi.org/10.1016/j.neucom.2024.127478