Regular Papers

International Journal of Control, Automation, and Systems 2024; 22(4): 1430-1441

https://doi.org/10.1007/s12555-022-0917-7

© The International Journal of Control, Automation, and Systems

H∞ Exponential Synchronization of Switched Cellular Neural Networks Based on Disturbance Observer-based Control

Linlin Hou*, Pengfei Ma, Xuan Ma, and Haibin Sun

Qufu Normal University

Abstract

The problem of H∞ exponential synchronization for switched cellular neural networks that are subjected to multiple exogenous disturbances is investigated. The exogenous disturbances are rejected and attenuated by combining disturbance observer-based control with H∞ control. Based on the admissible edge-dependent average dwell time scheme and the Lyapunov-Krasovskii functional technique, a synchronization criterion formulated by linear matrix inequalities is procured for switched cellular neural networks with external disturbances. Finally, the effectiveness of the obtained results is verified through a numerical simulation.

Keywords Admissible edge-dependent average dwell time, disturbance observer-based control, H∞ exponential synchronization, switched cellular neural networks.

Article

Regular Papers

International Journal of Control, Automation, and Systems 2024; 22(4): 1430-1441

Published online April 1, 2024 https://doi.org/10.1007/s12555-022-0917-7

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

H∞ Exponential Synchronization of Switched Cellular Neural Networks Based on Disturbance Observer-based Control

Linlin Hou*, Pengfei Ma, Xuan Ma, and Haibin Sun

Qufu Normal University

Abstract

The problem of H∞ exponential synchronization for switched cellular neural networks that are subjected to multiple exogenous disturbances is investigated. The exogenous disturbances are rejected and attenuated by combining disturbance observer-based control with H∞ control. Based on the admissible edge-dependent average dwell time scheme and the Lyapunov-Krasovskii functional technique, a synchronization criterion formulated by linear matrix inequalities is procured for switched cellular neural networks with external disturbances. Finally, the effectiveness of the obtained results is verified through a numerical simulation.

Keywords: Admissible edge-dependent average dwell time, disturbance observer-based control, H∞ exponential synchronization, switched cellular neural networks.

IJCAS
April 2024

Vol. 22, No. 4, pp. 1105~1460

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