| 神经网络控制的稳定性与收敛性分析 |
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| 引用本文： | 鲍连承,赵景波,朱海斌.神经网络控制的稳定性与收敛性分析[J].青岛大学学报(自然科学版),2001,14(3):40-44. |
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| 作者姓名： | 鲍连承 赵景波 朱海斌 |
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| 作者单位： | 海军潜艇学院,青岛,266071 |
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| 摘 要： | 本文采用梯度下降技术及非线性函数逼近理论。对神经网络控制的稳定性、收敛性进行了分析，给出稳定性和收敛性条件。最后根据本文提出的定理进行了仿真，仿真结果表明条件是正确的。
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| 关 键 词： | 神经网络控制 稳定性 收敛性 离散Lyapunou函数 梯度下降技术 非线性函数逼近理论 |
| 文章编号： | 1006-1037(2001)03-040-044 |
| 修稿时间： | 2001年6月2日 |
ANALYSIS OF STABILITY AND CONVERGENCE OF NERVE-NETWORK CONTROL |
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| BAO Lian-cheng,ZHAO Jing-bo,ZHU Hai-bin.ANALYSIS OF STABILITY AND CONVERGENCE OF NERVE-NETWORK CONTROL[J].Journal of Qingdao University(Natural Science Edition),2001,14(3):40-44. |
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| Authors: | BAO Lian-cheng ZHAO Jing-bo ZHU Hai-bin |
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| Abstract: | This paper is to make an analysis of the stability and convergence of nerve-network control by use of gradint descent technology and non-linear functional approxiamtion theory. And at the same time the conditions for such stability and convergence are presented also. In the end an simulation is carried out according to the theory mentioned in this essay to prove its results correct. |
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| Keywords: | Nerve-network Control Stability Convergence |
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