逼近理想解排序法(technique for order preference by similarity to an ideal solution,TOPSIS)因方法简单易实施而应用广泛,但其存在逆序问题及无法合理地考虑指标权重问题。针对该问题,提出了具有抗逆序及权重自适应确定的黑启动方...逼近理想解排序法(technique for order preference by similarity to an ideal solution,TOPSIS)因方法简单易实施而应用广泛,但其存在逆序问题及无法合理地考虑指标权重问题。针对该问题,提出了具有抗逆序及权重自适应确定的黑启动方案评估新方法。首先通过引入正负极端方案及改进数据归一化方法,很好地克服了TOPSIS逆序问题的产生;进而提出指标权重的自适应确定方法,既充分利用专家的偏好,又使得客观信息得到充分利用;基于上述改进策略,提出了具有抗逆序及权重自适应确定的TOPSIS新方法并给出了具体实现步骤。河北南网黑启动算例证明了方法的有效性。展开更多
The quality of the satellite orbit determination is rested on the knowledge of per-turbing forces acting on the satellite and stochastic properties of the observations, and the ability of controlling various kinds of ...The quality of the satellite orbit determination is rested on the knowledge of per-turbing forces acting on the satellite and stochastic properties of the observations, and the ability of controlling various kinds of errors. After a brief discussion on the dynamic and geometric orbit determinations, Sage adaptive filtering and robust filtering are reviewed. A new synthetically adaptive robust filtering based on a combination of robust filtering and Sage filtering is devel-oped.It is shown, by derivations and calculations, that the synthetically adaptive robust filtering for orbit determination is not only robust but also simple in calculation. It controls the effects of the outliers of tracking observations and the satellite dynamical disturbance on the parameter esti-mates of the satellite orbit.展开更多
文摘逼近理想解排序法(technique for order preference by similarity to an ideal solution,TOPSIS)因方法简单易实施而应用广泛,但其存在逆序问题及无法合理地考虑指标权重问题。针对该问题,提出了具有抗逆序及权重自适应确定的黑启动方案评估新方法。首先通过引入正负极端方案及改进数据归一化方法,很好地克服了TOPSIS逆序问题的产生;进而提出指标权重的自适应确定方法,既充分利用专家的偏好,又使得客观信息得到充分利用;基于上述改进策略,提出了具有抗逆序及权重自适应确定的TOPSIS新方法并给出了具体实现步骤。河北南网黑启动算例证明了方法的有效性。
基金This work was supported by the National Natural Science Foundation of China (Grant Nos. 40274002 and 40174009) the National Science Foundation for the Outstanding Youth in China (Grant No. 49825107).
文摘The quality of the satellite orbit determination is rested on the knowledge of per-turbing forces acting on the satellite and stochastic properties of the observations, and the ability of controlling various kinds of errors. After a brief discussion on the dynamic and geometric orbit determinations, Sage adaptive filtering and robust filtering are reviewed. A new synthetically adaptive robust filtering based on a combination of robust filtering and Sage filtering is devel-oped.It is shown, by derivations and calculations, that the synthetically adaptive robust filtering for orbit determination is not only robust but also simple in calculation. It controls the effects of the outliers of tracking observations and the satellite dynamical disturbance on the parameter esti-mates of the satellite orbit.
