1) extended task method
扩展作业空间方法
1.
The algorithm stability of the extended task method for kinematically redundant manipulators, which is often utilized to obtain redundancy resolutions, is discussed in the paper.
该文对冗余度操作机最为常用的求逆解方法——扩展作业空间方法的数值稳定性进行了探讨。
2) extended taskspace
扩展作业空间
1.
Algorithm singularity of the extended taskspace method for kinematically redundant robot, which is one of the redundant solution method is studied deeply in the paper.
本文对冗余度操作机最为常用的求逆解方法——扩展作业空间方法的算法奇异问题进行了深入的研究。
3) expanded similarity space method
扩展相似度空间方法
4) TDSE
时域空间扩展方法
1.
The analysis of multiconductor transmission lines connected with dynamic component used time domain space expansion (TDSE) method is implemented.
利用时域空间扩展方法 (TDSE)对多导体传输线端接动态元件的情况进行了分析 ,为电磁兼容分析提供了一种新的途径。
5) the extended spatial orientation tree
扩展空间方向树
6) state space extension method
状态空间扩展法
1.
By using the state space extension method, discretetime recurrent neural networks with sectortype monotone nonlinear activation functions, also known as recurrent multilayer perceptrons (RMLPs), were converted to the forms represented as linear differential inclusions(LDIs).
通过状态空间扩展法,将一类活化函数满足扇区条件和单调性的离散递归神经网络(即递归多层感知器RMLP)转化为线性微分包含(LDI)形式,而LDI的稳定性分析可转化为一组线性矩阵不等式(LMI)的求解,利用MATLAB/LMITOOLBOX求解LMI,从而判定RMLP的Lyapunov稳定性。
2.
By applying the state space extension method, RMLPs were converted to the SNNMs.
本文提出一种新的神经网络模型———标准神经网络模型(SNNM),通过状态空间扩展法,将RMLP转化为SNNM,而SNNM的稳定性分析可转化为一组线性矩阵不等式(LMI)的求解,利用Matlab/LMIToolbox求解LMI,从而判定RMLP的Lyapunov稳定性,并考虑非零阈值对稳定性的影响。
补充资料：兵棋作业(见想定作业)
兵棋作业(见想定作业)
war gaming exercise
bingqi zuoye兵棋作业(war ga而ng exercise)见想定作业。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条