Regular Paper

International Journal of Control, Automation and Systems 2023; 21(4): 1187-1196

Published online March 16, 2023

https://doi.org/10.1007/s12555-022-0092-x

© The International Journal of Control, Automation, and Systems

Adaptive Finite-time Synchronization of Stochastic Complex Networks with Mixed Delays via Aperiodically Intermittent Control

MingYu Wang, Feng Zhao*, JianLong Qiu, and XiangYong Chen

Linyi University

Abstract

This paper considers the finite-time synchronization problem of stochastic complex networks with mixed delays. A controller based on adaptive aperiodic intermittent control strategy is constructed, which can guarantee that network systems with unknown characteristics of the controlled object or a wide range of disturbance characteristics achieve synchronization in the finite-time. Moreover, relying on various inequality techniques, the finitetime synchronization criterion is obtained by establishing the Lyapunov function. Then, the synchronization of the stochastic network system can still be achieved, when the stochastic disturbance does not exist. Finally, the rationality of the theoretical results is tested by an example of Chua’s circuit system.

Keywords Adaptive aperiodic intermittent control, finite-time synchronization, stochastic complex networks.

Article

Regular Paper

International Journal of Control, Automation and Systems 2023; 21(4): 1187-1196

Published online April 1, 2023 https://doi.org/10.1007/s12555-022-0092-x

Copyright © The International Journal of Control, Automation, and Systems.

Adaptive Finite-time Synchronization of Stochastic Complex Networks with Mixed Delays via Aperiodically Intermittent Control

MingYu Wang, Feng Zhao*, JianLong Qiu, and XiangYong Chen

Linyi University

Abstract

This paper considers the finite-time synchronization problem of stochastic complex networks with mixed delays. A controller based on adaptive aperiodic intermittent control strategy is constructed, which can guarantee that network systems with unknown characteristics of the controlled object or a wide range of disturbance characteristics achieve synchronization in the finite-time. Moreover, relying on various inequality techniques, the finitetime synchronization criterion is obtained by establishing the Lyapunov function. Then, the synchronization of the stochastic network system can still be achieved, when the stochastic disturbance does not exist. Finally, the rationality of the theoretical results is tested by an example of Chua’s circuit system.

Keywords: Adaptive aperiodic intermittent control, finite-time synchronization, stochastic complex networks.

IJCAS
February 2025

Vol. 23, No. 2, pp. 359~682

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