期刊文献+
共找到3篇文章
< 1 >
每页显示 20 50 100
动态递归神经网络及其在机敏机构辨识中的应用 被引量:3
1
作者 宋轶民 余跃庆 +1 位作者 张策 马文贵 《机械科学与技术》 EI CSCD 北大核心 2001年第4期515-517,共3页
介绍了动态递归神经网络的数学模型 ,提出了一种学习因子自适应调节的改进算法。利用修剪法确定拓扑结构 ,提高了神经网络的泛化能力。以实验数据为样本 ,采用复合辨识方法离线设计了动态递归神经网络辨识器 ,获得了机敏机构的非线性动... 介绍了动态递归神经网络的数学模型 ,提出了一种学习因子自适应调节的改进算法。利用修剪法确定拓扑结构 ,提高了神经网络的泛化能力。以实验数据为样本 ,采用复合辨识方法离线设计了动态递归神经网络辨识器 ,获得了机敏机构的非线性动力学模型 ,其精度明显高于传统的 展开更多
关键词 机敏机构 振动控制 神经网络 系统辨识 PRNN
下载PDF
机敏柔性机构振动控制方法研究
2
作者 黄德生 李进 《测试技术学报》 1998年第4期38-42,共5页
本文利用柔性连杆构件粘贴压电材料和粘弹性材料,研究了柔性机构振动智能控制的方法。导出了粘贴压电材料和粘弹性材料构件的有限元方程;并对具体柔性机构的振动响应控制进行了计算机数值仿真。结果表明:机敏柔性 构控制方法的控制效果... 本文利用柔性连杆构件粘贴压电材料和粘弹性材料,研究了柔性机构振动智能控制的方法。导出了粘贴压电材料和粘弹性材料构件的有限元方程;并对具体柔性机构的振动响应控制进行了计算机数值仿真。结果表明:机敏柔性 构控制方法的控制效果明显优于传统的主动控制或被动控制方法,且只需要较低的控制电压输人。 展开更多
关键词 柔性结构 振动 控制 结构振动 机敏柔性机构
下载PDF
The CDF and its sensitivity analysis of stochastic structure with stochastic excitation by advanced stratified line sampling 被引量:4
3
作者 SONG ShuFang LU ZhenZhou +2 位作者 ZHANG WeiWeiNational Key Laboratory of Aerodynamic Design and Research Northwestern Polytechnical University YE ZhengYin 《Science China(Physics,Mechanics & Astronomy)》 SCIE EI CAS 2013年第8期1559-1567,共9页
For the stochastic structure with stochastic excitation, an advanced stratified line sampling (SLS) method is presented to obtain the cumulative distribution function (CDF) of the structural response and its sensitivi... For the stochastic structure with stochastic excitation, an advanced stratified line sampling (SLS) method is presented to obtain the cumulative distribution function (CDF) of the structural response and its sensitivity. The advanced stratified line sampling method introduces a set of middle failure subsets firstly. And for each subset, the conventional line sampling can be used to obtain the corresponding value of the response's CDF. At the same time, the sensitivity estimations of each failure subset can also be computed by modifying the important direction and corresponding reliability coefficients. The properties of CDF sensitivity are proved while the performance function is linear with normal random variables. After two simple examples are used to demonstrate the properties of CDF sensitivity and the feasibility of the presented method, the method employed to analyze the CDF and corresponding sensitivity of root bending moment (RBM) responses for the stochastic BAH is wing with gust excitation to a square-edged gust and to a Dryden gust. The results show that the parameters of the second and the fifth order modals exert more influence on the CDF of response than the other ones, and the presented SLS method can more significantly reduce the computational cost compared with Monte Carlo simulation (MCS). 展开更多
关键词 stochastic excitation line sampling cumulative distribution function (CDF) sensitivity analysis root bending moment (RBM) gust response analysis
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部