Title: Event-triggered synchronisation control of fractional-order time-delay neural networks

Authors: Dinh Cong Huong

Addresses: Faculty of Automotive Engineering Technology, Industrial University of Ho Chi Minh City, Ho Chi Minh City, 700000, Vietnam

Abstract: The event-triggered synchronisation control problem of neural networks is important in information encryption and key exchange. The objective of this problem is to determine an event-triggered controller such that the known neural networks can track the unknown neural networks. Existing results on the problem of designing event-triggered synchronisation controllers for integer-order neural networks have not been extended to fractional-order neural networks. In this paper, we consider the event-triggered synchronisation control for a class of fractional-order time-delay neural networks with an unknown time-varying delay in the state vector. The controller in this paper uses only information about the state vector when an event-triggered condition is held. This contrasts with previous methods of solving the synchronisation control problem where the information of the state vector was assumed to be always continuously available. Therefore, it is significant in saving communication resources while still maintaining the desired robust control performance.

Keywords: ETMs; event-triggered mechanisms; fractional-order time-delay neural networks; event-triggered control; LMIs; linear matrix inequalities.

DOI: 10.1504/IJAAC.2025.147197

International Journal of Automation and Control, 2025 Vol.19 No.4, pp.462 - 481

Received: 19 Mar 2024
Accepted: 26 Jul 2024
Published online: 11 Jul 2025 *

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