【摘要】 研究了一类具有混合变时滞的随机忆阻神经网络在固定时间内的控制同步问题.通过集值映射,随机微分包含理论,固定时间内稳定性理论,李雅普诺夫函数,伊藤公式和一些不等式方法,在与时滞τ,随机扰动项及转换跳跃T_i相关的恰当的反馈控制器u_i(t)的控制下,得到了新的该神经网络在固定时间内控制同步的充分条件.更多还原

【Abstract】 The fixed-time control synchronization of stochastic memristive neural networks with time-varying delays is studied. Based on the set-valued mapping, stochastic differential inclusion theory, fixed-time stability theory, Lyapunov function, ■’s formula and some inequality methods, under the appropriate feedback control u_i(t) which related to delay τ, statistics perturbation term and transition jump T_i, some new sufficient condition is obtained for fixed time control synchronization.更多还原