This paper discusses how to found its optimal model through the analysis of model check countermeasure and proposes its solution based on linear and non-linear programming.
通过对模型校验策略的分析，讨论了如何建立这一问题的优化模型，并给出了基于线性规划和非线性规划的模型求解方法。
As we know, classic optimization techniques are not only troublesome in calculation, but also low efficient for the highly non-linear interval parameter optimal design model (IPODM).
对于高度非线性的城市污水处理厂区间数优化设计模型（IPODM） ，若采用传统的方法求解，不仅计算繁琐，且难以有效地寻找全局最优解。
The Kalman Filter is widely applied in the Information Fusion at the present, which can get the optimal estimate in the Linear-Gaussian model, but not applied in the nonlinear and non-Gaussian model.
目前在信息融合领域广泛使用的融合算法是卡尔曼滤波，它在线性高斯模型下能得到最优估计，但在非线性非高斯模型下则无法应用。
It shows a good performance to solve the optimal power flow problem with FACTS control by non-linear interior point method under the model and parameters present in the thesis.
结果表明：基于本文提出的FACTS模型和控制参数下，采用路径跟踪内点方法求解含有FACTS的电力系统潮流优化控制问题，具有较好的性能。
It shows a good performance to solve the optimal power flow problem with FACTS control by non-linear interior point method under the model and parameters present in the thesis.
结果表明：基于本文提出的FACTS模型和控制参数下，采用路径跟踪内点方法求解含有FACTS的电力系统潮流优化控制问题，具有较好的性能。
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