Robust asymptotic stability for BAM neural networks with time-varying delays via LMI approach
- ISSN号:1005-1031
- 期刊名称:Applied Mathematics-A Journal of Chinese Universit
- 时间:0
- 页码:282-290
- 语言:英文
- 分类:TP183[自动化与计算机技术—控制科学与工程;自动化与计算机技术—控制理论与控制工程] TP13[自动化与计算机技术—控制科学与工程;自动化与计算机技术—控制理论与控制工程]
- 作者机构:[1]Research Institute of Automation, Qufu Normal University, Qufu 273165, China, [2]School of Automation, Nanjing University of Science & Technology, Nanjing 210064, China
- 相关基金:Supported by the National Natural Science Foundation of China (60674027; 60875039); Specialized Research Fund for the Doctoral Program of Higher Education (20050446001) and Scientific Research Foundation of Qufu Normal University
- 相关项目:不确定切换控制系统及机动跟踪控制问题研究
关键词:
BAM神经网络, LMI方法, 稳定性条件, 线性矩阵不等式方法, 延迟, 时变, LYAPUNOV, 鲁棒, robust asymptotic stability, bidirectional associative memory (BAM) neural networks, timevarying delays, linear matrix inequality(LMI), Lyapunov-Krasovskii functional