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JOURNALS // Matematicheskie Trudy // Archive

Mat. Tr., 2025 Volume 28, Number 3, Pages 95–124 (Mi mt742)

Systems of neutral type equations and the Hopfield neural network model

M. A. Skvortsovaab

a Novosibirsk State University, Novosibirsk, Russia
b Sobolev Institute of Mathematics SB RAS, Novosibirsk, Russia

Abstract: In the paper, we consider the Hopfield neural network model described by a system of neutral type differential equations with several delays. Using the Lyapunov–Krasovskii functionals method, conditions are specified for the model parameters that guarantee exponential stability of the stationary solution to the considered system. Under these conditions, estimates are obtained that characterize the stabilization rate of solutions at infinity.

Key words: neutral type differential equations, Hopfield neural network model, Lyapunov–Krasovskii functional, estimates for solutions, exponential stability.

UDC: 517.929.4

Received: 10.07.2025
Revised: 14.09.2025
Accepted: 24.09.2025

DOI: 10.25205/1560-750X-2025-28-3-95-124



© Steklov Math. Inst. of RAS, 2026