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1. 发明申请

US20060052991A1 Method for creating a non-linear, stationary or dynamic model of a control variable of a machine 有权
标题翻译：用于创建机器的控制变量的非线性，静止或动态模型的方法
公开(公告)号：US20060052991A1
公开(公告)日：2006-03-09
申请号：US11168989
申请日：2005-06-29
申请人： Horst Pflugl , Stefan Jakubek , Kurt Gschweitl
发明人： Horst Pflugl , Stefan Jakubek , Kurt Gschweitl
IPC分类号： G06G7/48
CPC分类号： G05B13/027 , G05B13/048 , G05B17/02
摘要： A method for creating a non-linear, stationary or dynamic overall model of a control variable of a combustion engine or partial systems thereof, is based on simplified partial model functions that are used to determine in a weighted fashion at each desired operating point the total output quantities from the partial model function with an associated weighting function. The difference between the total output quantity and the real value is determined for all real operating points; and in areas of operating points with an absolute value of this difference that is above the preset value, a further model function with a further associated weighting function is used for which the absolute value of the difference stays below the preset value. To use such a method in order to arrive faster, i.e. with fewer iterations, at the optimal overall model that satisfies a statistically substantiated high level of prediction quality and to create an overall model made up of as few partial models as possible, the steps for determining the difference between the total output quantity of the associated partial model functions and a real value of the control value as well as the application of a further model and weighting function are executed as many times as needed until the statistically evaluated prediction quality of the overall model has reached a desired value.
摘要翻译：用于创建内燃机或其部分系统的控制变量的非线性，静态或动态整体模型的方法基于简化的部分模型函数，其被用于以加权方式在每个期望的操作点确定总计来自部分模型函数的输出量与相关联的加权函数。确定所有实际操作点的总产出和实际值的差异; 并且在具有高于预设值的该差异的绝对值的操作点的区域中，使用具有进一步相关联的加权函数的另外的模型函数，该差异的绝对值保持在预设值以下。为了使得这种方法能够更快地到达，即在最优的整体模型下，在满足统计上可以预测的高水平的预测质量并且创建尽可能少的部分模型的整体模型的情况下，迭代次数较少，确定相关的部分模型函数的总输出量与控制值的实际值之间的差异以及另外的模型和加权函数的应用被执行多次，直到统计学评估的整体的预测质量模型已达到理想值。

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