| 随机扰动下混合时滞混沌系统自适应同步 |
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| 引用本文： | 李杰,阳平华,杨思. 随机扰动下混合时滞混沌系统自适应同步[J]. 河北大学学报(自然科学版), 2012, 32(6): 576-582 |
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| 作者姓名： | 李杰 阳平华 杨思 |
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| 作者单位： | 1. 石家庄军械工程学院基础部,河北石家庄,050003
2. 石家庄陆军指挥学院战役战术系,河北石家庄,050084 |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 基于自适应同步原理,同时考虑系统内部参数不确定性和系统外部随机扰动,研究了一类具有混合时变时滞的混沌神经网络的同步问题.利用随机微分方程理论,lyapunov稳定性理论和线性矩阵不等式(LMI)的方法,设计自适应控制器.研究表明本方法能有效地克服干扰对同步所造成的破坏,实现良好的同步效果.最后,数据仿真证明了所给方法的有效性.
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| 关 键 词： | 混沌神经网络 自适应同步 混合时变时滞 参数不确定 随机扰动 |
Adaptive synchronization of mixed time-delays chaotic system with stochastic perturbation |
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| LI Jie , YANG Pinghua , YANG Si. Adaptive synchronization of mixed time-delays chaotic system with stochastic perturbation[J]. Journal of Hebei University (Natural Science Edition), 2012, 32(6): 576-582 |
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| Authors: | LI Jie YANG Pinghua YANG Si |
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| Affiliation: | 1.Department of Basic Courses,Ordnance Engineering College,Shijiazhuang 050003,China; 2.Department of Campaign and Tactics,Academy of Army Command,Shijiazhuang 050084,China) |
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| Abstract: | Based on adaptive synchronization principle,adaptive synchronization of mixed time-delays chaotic neural network with stochastic perturbation and parameter uncertainty was investigated.By using stochastic differential equation theory,lyapunov stability theory and LMI approach,a new adaptive controller was designed.The proposed method can overcome effectively the disruption of perturbation,and make the chaotic systems keep synchronous well.At last,numerical simulations show the effectiveness of the method. |
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| Keywords: | chaotic neural network adaptive synchronization mixed time-delays parameter uncertainty stochastic perturbation |
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