Discriminating Stability of Hybrid Stochastic Delay Neural Networks: A Novel Approach

This article presents a new approach for studying the mean square exponential stability of nonlinear stochastic delay neural networks with Markov chains. Explicit identities are derived to characterize the stability properties of these systems. Both delay-independent and delay-dependent stability theorems are provided based on these identities. The effectiveness of the proposed approach is demonstrated through an illustrative example.