| 1. | R2 generally increases when a regressor is added to a regression
当回归中加入另外的解释变量时， r2通常会上升。 |
| 2. | Exception : if the new regressor is perfectly multicollinear with the original regressors , then ols cannot be implemented
例外：如果这个新解释变量与原有的解释变量完全共线，那么ols不能使用。 |
| 3. | This algebraic fact follows because the sum of squared residuals never increase when additional regressor are added to the model
此代数事实成立，因为当模型加入更多回归元时，残差平方和绝不会增加。 |
| 4. | This algebraic fact follows because the sum of squared residuals never increase when additional regressor are added to the model
这一数学事实成立，因为当模型加入更多回归元时，残差平方和决不会增加。 |
| 5. | 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使此解释变量取任何非零系数，那么加入此变量之后， ssr降低了。 |
| 6. | 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
实际操作中，被估计系数精确取零是极其罕见的，所以，当加入一个新解释变量后，一般来说， ssr会降低。 |
| 7. | 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恰好使第二个解释变量系数取零，那么不管回归是否加入此解释变量， ssr相同。 |
| 8. | 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
基本思想都是将不确定性机器人系统分解成标称系统和不确定系统：对于标称系统，采用计算力矩控制；对于不确定系统，利用机器人系统的回归矩阵或集中不确定性上界的包络函数，设计不同的补偿控制器。 |
| 9. | 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 )
在上面的基础上，本论文主要研究了不确定性刚性机器人的鲁棒轨迹跟踪控制问题，研究不确定性机器人的鲁棒控制问题具有十分重要的理论和实践意义，是近年来国际上关于机器人研究的热门主题之一。 |
