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一类具比例时滞脉冲二阶Hopfield神经网络的全局指数稳定性 被引量:5

Global exponential stability for a class of second order Hopfield neural networks with proportional delays and impulse
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摘要 对一类具有比例时滞的脉冲二阶Hopfield神经网络进行研究。通过非线性变换,将系统等价变换成具有不等常时滞和变系数的脉冲二阶Hopfield神经网络;构造合适的Lyapunov泛函,应用不等式的分析技巧,研究系统的全局指数稳定性,得到保证该系统平衡点全局指数稳定的一个时滞依赖的充分条件。数值算例验证了所得结论的正确性和有效性。 A class of second order Hopfield neural networks with proportional delays under impulsive per- turbations is investigated. At first, utilizing a nonlinear transform, the considered system is equivalently transformed into a class of second order Hopfield neural networks with unequal delays and variable coefficients. Then, by constructing proper Lyapunov functional and applying inequality techniques, global exponential stability analysis for the considered system is studied, and a delay-dependent sufficient condition for global exponential stability of equilibrium point of the system is obtained. Finally, some examples are given to illustrate the effectiveness and correctness of the obtained results.
出处 《黑龙江大学自然科学学报》 CAS 北大核心 2015年第3期312-318,共7页 Journal of Natural Science of Heilongjiang University
基金 国家自然科学基金资助项目(61374009)
关键词 HOPFIELD神经网络 全局指数稳定性 比例时滞 脉冲干扰 LYAPUNOV泛函 Hopfield neural networks global exponential stability proportional delay impulsive perturbation Lyapunov functional
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