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Global Exponential Stability of Periodic Solution for Competitive Neural Networks with Time-Varying and Distributed Delays on Time Scales

Global Exponential Stability of Periodic Solution for Competitive Neural Networks with Time-Varying and Distributed Delays on Time Scales
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摘要 In this paper, competitive neural networks with time-varying and distributed delays are investigated. By utilizing Lyapunov functional methods, the global exponential stability of periodic solutions of the neural networks is discussed on time scales. In addition, an example is given to illustrate the effectiveness of the theoretical results. In this paper, competitive neural networks with time-varying and distributed delays are investigated. By utilizing Lyapunov functional methods, the global exponential stability of periodic solutions of the neural networks is discussed on time scales. In addition, an example is given to illustrate the effectiveness of the theoretical results.
作者 Yang LIU Yongqing YANG Tian LIANG Xianyun XU
机构地区 Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education)
出处 《Journal of Mathematical Research with Applications》 CSCD 2014年第4期467-474,共8页 数学研究及应用（英文版）
基金 Supported by the Fundamental Research Funds for the Central Universities(Grant No.JUSRP51317B) the National Natural Science Foundation of China(Grant No.60875036)
关键词 stability competitive neural networks delays time scales. stability competitive neural networks delays time scales.
分类号 TP183 [自动化与计算机技术—控制理论与控制工程] O175 [理学—基础数学]
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Journal of Mathematical Research with Applications
2014年 第4期

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