Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The issue of mean-square exponential (MSE) stability of stochastic delayed neural networks (NNs) with parametric uncertainties is considered in this paper. An adjustable delay interval (ADI) method is proposed to construct a novel Lyapunov-Krasovskii functional (LKF). This method relaxes the restriction on fixed upper and lor bounds of the delay intervals. Combining with the generalized Finsler lemma, ADI method leads to a much less conservative delay-dependent stability criterion based on linear matrix inequality (LMI) for concerned system. Some simulations are described to show the usefulness of the proposed approach.
['Qihe Shan', 'Huaguang Zhang', 'Zhanshan Wang', 'Junyi Wang']
I am writing a research paper on a idea Adjustable delay interval method based stochastic robust stability analysis of delayed neural networks
[{"from": "human", "value": "I am writing a research paper on a idea Adjustable delay interval method based stochastic robust stability analysis of delayed neural networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The issue of mean-square exponential (MSE) stability of stochastic delayed neural networks (NNs) with parametric uncertainties is considered in this paper. An adjustable delay interval (ADI) method is proposed to construct a novel Lyapunov-Krasovskii functional (LKF). This method relaxes the restriction on fixed upper and lor bounds of the delay intervals. Combining with the generalized Finsler lemma, ADI method leads to a much less conservative delay-dependent stability criterion based on linear matrix inequality (LMI) for concerned system. Some simulations are described to show the usefulness of the proposed approach."}]