摘要
讨论了具有不确定区间时滞的BAM神经网络的鲁棒均方指数稳定性问题。通过构造适当的Lya-punov-Krasovskii泛函,利用一些新的定界技术,以线性矩阵不等式形式给出了Markov跳变BAM神经网络的时滞且区间相关的全局鲁棒指数稳定性判据,该判据利用Matlab的LMI工具很容易进行检验。给出数值示例,说明了判据的有效性与优越性。
The problem of robust exponential stability in the mean square for uncertain bidirectional associative memory（BAM） neural networks with Markovian jump parameters and time-varying delays is investigated.The time-varying delay is assumed to belong to an interval.By defining an appropriate Lyapunov-Krasovskii functional（LKF） and using some new bounding techniques,some delay-range-dependent stabilitycriteria are presented in terms of linear matrix inequalities（LMIs）,which can be solved efficiently by using existing LMI toolbox in MATLAB.A umerical example demonstrates the effectiveness and advantage of criterion.
出处
《辽宁科技大学学报》
CAS
2010年第2期113-120,共8页
Journal of University of Science and Technology Liaoning
