Stability analysis of neutral-type stochastic delayed neural networks with Markov switching
Abstract
This paper investigated the stability of a class of neutral-type stochastic delayed neural networks with Markov switching. Under a general decay rate and weaker conditions on the neutral term, sufficient conditions for stability in the p-th moment, almost sure stability, and actual stability were established by constructing appropriate Lyapunov functions and applying the nonnegative semimartingale convergence theorem. The theoretical analysis was validated via MATLAB simulations using the Euler-Maruyama method.
Fields of Study & Subjects
Neural Networks Stability and Synchronization
Stability and Control of Uncertain Systems
Neural Networks and Applications
Publication details
- Journal / source
- Electronic Research Archive
- Volume
- 34
- Issue
- 2
- Pages
- 1095–1123
- Publication date
- 1 January 2026