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| 一类具脉冲的非自治高阶BAM神经网络周期解的全局指数稳定性 | |
| 引用本文： | 贾秀玲,王继禹,李耀堂. 一类具脉冲的非自治高阶BAM神经网络周期解的全局指数稳定性[J]. 江西师范大学学报(自然科学版), 2017, 0(2): 215-220 |
| 作者姓名： | 贾秀玲 王继禹 李耀堂 |
| 作者单位： | 1.郑州工商学院公共基础部,河南 郑州 451400; 2.云南大学数学与统计学院,云南 昆明 650091 |
| 摘 要： | 通过构造Lyapuonv函数,利用M-矩阵理论以及Yang不等式技巧,研究了一类含脉冲的非自治高阶BAM(bi-directional associative memory)神经网络周期解的全局指数稳定性,且推广了相关文献中的结果. |
| 关 键 词： | 高阶BAM神经网络 周期解 M-矩阵 M-矩阵 脉冲 指数稳定性 |
The Analysis on Global Exponential Stability of Periodic Solutions for a Class of Non-Autonomous Higher-Order BAM Neural Networks with Impulse |
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| JIA Xiuling,WANG Jiyu,LI Yaotang. The Analysis on Global Exponential Stability of Periodic Solutions for a Class of Non-Autonomous Higher-Order BAM Neural Networks with Impulse[J]. Journal of Jiangxi Normal University (Natural Sciences Edition), 2017, 0(2): 215-220 | |
| Authors: | JIA Xiuling WANG Jiyu LI Yaotang |
| Affiliation: | 1.Department of Public Basic Education,Zhengzhou Technology and Business University,Zhengzhou Henan 451400,China; 2.School of Mathematics and Statistics,Yunnan University,Kunming Yunnan 650091,China |
| Abstract: | By constructing a new Lyapunov functional,employing the M-matrix theory and some inequality techniques,the global exponential stability of periodic solutions for non-autonomous higher-order BAM neural networks with impulse is considered,and it has greatly improve the previous results in the literature. |
| Keywords: | higher-order BAM neural networks periodic solutions M-matrix M-matrix impulse exponential stability |
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