1·Applications of the linear approximation.
线性逼近法的应用。
2·But, if you fix a point, then we have linear approximation.
但是，如果你固定了一个点，就能得到线性近似。
3·Remember, these approximation formulas, they are linear approximations.
记住，这些近似公式是线性近似。
4·U That means my vector u, well, approximately because I am using this linear approximation.
这意味着向量，约等于…，因为用了线性近似，约等于。
5·A segmented learning scheme is proposed to keep the learning only in the linear approximation region.
利用一个分段学习方案可保证学习控制总在有效线性近似区域内进行。
6·And, if we set these things equal, what we get is actually, we are replacing the function by its linear approximation.
如果把这两个看做等价的，实际上，就是用函数的线性近似式来代替原函数。
7·Multi-point formula, depending on the segmented linear approximation, turns out to be effective in correcting the no…
多点法使用分段线性逼近的方法对非线性推移有良好的校正效果。
8·The linearization operation was conducted for the nonlinear TTC control system to obtain a small-signal linear approximation.
获得一个小信号线性近似的线性化操作进行非线性的TTC的控制系统。
9·If we want to be a bit more precise, we know that when we change by t, t that's for linear approximation to how the function changes.
如果我们想更加精确一点，我们知道当t变化的时候，乘以导数就出现了，well, t, times, the, derivative, comes, in，这是函数变化量的线性近似。
10·If the two preconditions are difficult to satisfy, the model error caused by the linear approximation will become difficult to control.
如果这两个前提难以满足，由线性化近似模型带来的模型误差将变得难以控制。