【摘要】 研究具有时变时滞不确定性神经网络的被动性问题。通过构造适当的Lyapunov泛函并利用一些分析技巧,给出一个新的条件,以确保与时变延迟的不确定性神经网络的被动性。被动条件以线性矩阵不等式(LMI)表示,可以很容易地通过有效内点算法进行求解。通过一个数例证明了该方法的有效性。更多还原

【Abstract】 This paper investigates the passivity problem for uncertain neural networks with time-varying delays.By constructing proper Lyapunov functionals and using some analytic techniques,a new condition is given to ensure the passivity of the uncertain neural networks with time-varying delays.The passivity condition is expressed in terms of linear matrix inequality(LMI),which can be easily solved by using the effective interior-point algorithm.The validity of the method is proved by a numerical example.更多还原