Assali, El AbedKumar, PushpendraLee, Tae H.2025-11-152025-11-1520251598-64462005-409210.1007/s12555-025-0372-32-s2.0-105019349296https://doi.org/10.1007/s12555-025-0372-3https://hdl.handle.net/20.500.14517/8499This paper investigates the predefined-time synchronization of competitive neural networks with time-varying delays. The study focuses on the synchronization problem under predefined-time constraints, employing two novel controllers: one based on a hyperbolic cosine-sine function and the other on an error function. Based on the new predefined-time stability theorems, the predefined-time synchronization of competitive neural networks is investigated by designing some new feedback controllers, and sufficient conditions are derived to guarantee the predefined-time synchronization of addressed neural networks. Numerical examples are provided to illustrate the effectiveness of the proposed synchronization strategies.eninfo:eu-repo/semantics/closedAccessCompetitive Neural NetworksDrive-Response SystemsPredefined-Time StabilitySynchronizationTime-Varying DelaysArticle