Finite-time control of switched stochastic delayed neural networks with Φ-dependent average dwell time

This study focuses on the finite-time stability analysis and control for a class of switched stochastic delayed neural networks (SSDNNs), introducing the [Formula: see text]-dependent average dwell time ([Formula: see text]DADT) switching method as a novel approach for analyzing the finite-time stability of switched stochastic neural networks with time-varying delay. By applying [Formula: see text]DADT and multiple Lyapunov–Krasovskii functionals, some sufficient conditions for the finite-time stability are established. Then, a generalized partially delay-dependent controller is designed to ensure that the closed-loop system achieves stability. Finally, a numerical example is provided to illustrate the effectiveness.