Regular Papers

International Journal of Control, Automation, and Systems 2024; 22(7): 2283-2292

https://doi.org/10.1007/s12555-022-1090-8

© The International Journal of Control, Automation, and Systems

Exponential Synchronization of Stochastic Time-delayed Memristor-based Neural Networks via Pinning Impulsive Control

Yao Cui and Pei Cheng*

Anhui University

Abstract

This paper investigates the exponential synchronization of stochastic time-delayed memristor-based neural networks (MBNNs) with using pinning impulsive control. Different from the traditional impulsive control schemes, a hybrid pinning impulsive control scheme is presented, and some sufficient conditions for exponential synchronization of system are established. Moreover, on the basis of the obtained results, the problem of delayed impulsive stabilization of stochastic time-delayed MBNN is studied. At last, an example is provided to demonstrate the validity of the obtained results.

Keywords Delayed impulsive stabilization, exponential synchronization, memristor-based neural networks, pinning impulsive control.

Article

Regular Papers

International Journal of Control, Automation, and Systems 2024; 22(7): 2283-2292

Published online July 1, 2024 https://doi.org/10.1007/s12555-022-1090-8

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

Exponential Synchronization of Stochastic Time-delayed Memristor-based Neural Networks via Pinning Impulsive Control

Yao Cui and Pei Cheng*

Anhui University

Abstract

This paper investigates the exponential synchronization of stochastic time-delayed memristor-based neural networks (MBNNs) with using pinning impulsive control. Different from the traditional impulsive control schemes, a hybrid pinning impulsive control scheme is presented, and some sufficient conditions for exponential synchronization of system are established. Moreover, on the basis of the obtained results, the problem of delayed impulsive stabilization of stochastic time-delayed MBNN is studied. At last, an example is provided to demonstrate the validity of the obtained results.

Keywords: Delayed impulsive stabilization, exponential synchronization, memristor-based neural networks, pinning impulsive control.

IJCAS
September 2024

Vol. 22, No. 9, pp. 2673~2953

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