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    • 1. 发明申请
    • Method for creating a non-linear, stationary or dynamic model of a control variable of a machine
    • 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
    • US20060052991A1
    • 2006-03-09
    • US11168989
    • 2005-06-29
    • Horst PfluglStefan JakubekKurt Gschweitl
    • Horst PfluglStefan JakubekKurt Gschweitl
    • G06G7/48
    • G05B13/027G05B13/048G05B17/02
    • 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.
    • 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。
    • 2. 发明授权
    • Method for creating a non-linear, stationary or dynamic model of a control variable of a machine
    • 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
    • US07444190B2
    • 2008-10-28
    • US11168989
    • 2005-06-29
    • Horst PflüglStefan JakubekKurt Gschweitl
    • Horst PflüglStefan JakubekKurt Gschweitl
    • G06F17/50G06G7/62G05B13/02
    • G05B13/027G05B13/048G05B17/02
    • 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.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.
    • 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,其用于以每个期望操作点的加权方式确定总输出 来自部分模型函数的量与相关的加权函数。 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。 确定相关部分模型函数的总输出量与控制值的实际值之间的差异的步骤以及进一步的模型和加权函数的应用的步骤按需要执行多次,直到统计学评估的预测质量 的整体模式已经达到了期望的价值。
    • 4. 发明申请
    • Machine-Implemented Method for Obtaining Data From A Nonlinear Dynamic Real System During a Test Run
    • 在测试运行期间从非线性动态实际系统获取数据的机器实现的方法
    • US20140067197A1
    • 2014-03-06
    • US14111092
    • 2012-05-30
    • Markus StadlbauerChristoph HametnerStefan JakubekThomas WinselNikolaus Keuth
    • Markus StadlbauerChristoph HametnerStefan JakubekThomas WinselNikolaus Keuth
    • G01M17/00
    • G01M17/00G05B13/042G05B23/0256G06N3/08G06N7/08
    • In a machine-implemented method for obtaining data from a nonlinear dynamic real system during a test run, for instance an internal combustion engine, a drive-train or parts thereof, of a sequence of dynamic excitation signals for at least one measurement channel is generated according to a previously generated design of experiment for said test run and the system output of at least one output channel is measured. To enable the quick and precise generation of experimental designs for global measurement, modeling, and optimization of a nonlinear dynamic real system, it is proposed that the sequence of dynamic excitation signals was generated by the method of generating a design of experiment with a sequence of excitation signals, obtaining output data by feeding said sequence of excitation signals into a model for the real system, said model comprising nonlinear dynamic models, determining a criterion for the information content of the complete design of experiment sequence, and in a following step varying the totality of the sequence of excitation signals, obtaining new output data by feeding said modified sequence of excitation signals into the model for the real system, determining again said criterion for the for the information content, and repeating these steps until said criterion has reached its optimum value, using the last generated sequence of excitation signals as design of experiment for the test run of the real system.
    • 在用于在测试运行期间从非线性动态实际系统获得数据的机器实现的方法中,生成用于至少一个测量通道的一系列动态激励信号的内燃机,驱动系或其部分, 根据先前生成的用于所述测试运行的实验设计,并测量至少一个输出通道的系统输出。 为了能够快速,精确地生成非线性动态实际系统的全局测量,建模和优化的实验设计,提出了通过生成具有序列的实验设计的方法来产生动态激励信号的序列 激励信号,通过将所述激励信号序列馈送到实际系统的模型中来获得输出数据,所述模型包括非线性动力学模型,确定实验序列的完整设计的信息内容的标准,并且在随后的步骤中, 激励信号序列的总和,通过将所述修改的激励信号序列馈送到真实系统的模型中来获得新的输出数据,再次确定信息内容的所述标准,并重复这些步骤,直到所述标准达到其最佳值 值,使用最后生成的激励信号序列作为实验设计 用于实际系统的测试运行。