Kumar, P.Assali, E.A.2025-08-152025-08-1520260378-475410.1016/j.matcom.2025.07.0352-s2.0-105011519888https://doi.org/10.1016/j.matcom.2025.07.035https://hdl.handle.net/20.500.14517/8249This article explores the fixed-time synchronization of fractional-order Hopfield neural networks incorporating proportional delays. Unlike finite-time synchronization, where the convergence time varies based on the initial synchronization errors, fixed-time synchronization allows for a predetermined settling time that remains independent of initial conditions. to achieve fixed-time synchronization, two types of feedback control strategies incorporating fractional integrals are employed: one based on state feedback and another utilizing a controller designed with a Lyapunov function and an exponential function. By designing appropriate Lyapunov functions and employing inequality techniques, multiple sufficient conditions were established to guarantee the fixed-time synchronization of the considered systems under these control strategies. Finally, two numerical examples are presented to demonstrate the validity and practical relevance of the theoretical findings. © 2025 International AsSociation for Mathematics and Computers in Simulation (IMACS)eninfo:eu-repo/semantics/closedAccessControlFixed-Time SynchronizationFractional-OrderHopfield Neural NetworksArticleQ1Q1240367380