regressor 中文意思是什麼
regressor
解釋
回歸方程的獨立變量-
The overall idea is that the system of robotic manipulators is decomposed as two parts : one is nominal system with perfect knowledge of dynamic model and the other is system with uncertainties. ctc is used to control nominal system. for uncertainties system, we utilize the regressor of robotic system or bounding function on uncertainties to design
基本思想都是將不確定性機器人系統分解成標稱系統和不確定系統：對于標稱系統，採用計算力矩控制；對于不確定系統，利用機器人系統的回歸矩陣或集中不確定性上界的包絡函數，設計不同的補償控制器。 -
If ols chooses any value other than zero, it must be that this value reduced the ssr relative to the regression that excludes the regressor
如果ols使此解釋變量取任何非零系數，那麼加入此變量之後， ssr降低了。 -
This algebraic fact follows because the sum of squared residuals never increase when additional regressor are added to the model
此代數事實成立，因為當模型加入更多回歸元時，殘差平方和絕不會增加。 -
R2 generally increases when a regressor is added to a regression
當回歸中加入另外的解釋變量時， r2通常會上升。 -
Exception : if the new regressor is perfectly multicollinear with the original regressors, then ols cannot be implemented
例外：如果這個新解釋變量與原有的解釋變量完全共線，那麼ols不能使用。 -
In practice it is extremely unusual for an estimated coefficient to be exactly zero, so in general the ssr will decrease when a new regressor is added
實際操作中，被估計系數精確取零是極其罕見的，所以，當加入一個新解釋變量后，一般來說， ssr會降低。 -
If ols happens to choose the coefficient on the new regressor to be exactly zero, then ssr will be the same whether or not the second variable is included in the regression
如果ols恰好使第二個解釋變量系數取零，那麼不管回歸是否加入此解釋變量， ssr相同。 -
Based on above talking, this thesis primarily study robust trajectory tracking control of rigid robot with uncertainties. lt is very important to study the robust trajectory tracking control of robot with uncertainties and one of the popular subject concerning the robot. according to n - degree - of - freedom rigid - links uncertain robot, based on the regressor approach, we get the following two results : ( 1 )
在上面的基礎上，本論文主要研究了不確定性剛性機器人的魯棒軌跡跟蹤控制問題，研究不確定性機器人的魯棒控制問題具有十分重要的理論和實踐意義，是近年來國際上關于機器人研究的熱門主題之一。
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