Robust Exponential Convergence of Uncertain Fuzzy BAM Neural Networks with Time-varying Delays

摘要：

　　This paper focuses on the robust exponential convergence of uncertain Takagi-Sugeno (T-S) fuzzy bidirectional associative memory (BAM) neural networks with time-varying delays.By employing Lyapunov method and delay inequality technique,several easily verifiable sufficient criteria are derived to guarantee the T-S fuzzy BAM neural networks with time-varying delays to converge robustly exponentially to a ball in the state space with a pre-specified rate.Finally,a numerical example with simulations is given to illustrate the effectiveness of our theoretical results.

关键词： T-S fuzzy BAM neural networks Robust exponential convergence Lyapunov method Time-varying delays Inequality

作者: Wen-Lin JIANG Ji-Gui JIAN

作者单位: College of Science,China Three Gorges University,Yichang,Hubei,443002,China

会议类型: 国内会议

会议名称: 2014年国际计算机科学与软件工程学术会议

会议地点: 杭州

会议语种:英文

页码: 1-7

在线出版日期: 2014-10-18（万方平台首次上网日期，不代表论文的发表时间）