In this paper, the control points are calculated based on the curve or surface's data points and the knot vector which is calculated with four kinds of parameterization by the method of NURBS.
文中根据曲线曲面型值点，分别用四种参数化方法构造节点矢量，利用NURBS方法反算控制点。
First, a new type of parameterization equation is constructed based on matrix factorization and the certainty-equivalence adaptive control law is chosen.
为此首先基于矩阵分解构造出新的参数化方程，选取必然等价自适应控制律。
The neural network model was used as the reference output of the control command, while the parameterization model was used in the onboard control system.
在比较两种不同的控制策略模型时发现，神经网络模型适用于控制指令实时输出的参考，而参数化模型更易于在微型直升机的控制系统中使用。
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