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    METHOD AND DEVICE FOR POST-ADAPTION OF A DATA-BASED FUNCTION MODEL
    5.
    发明申请
    METHOD AND DEVICE FOR POST-ADAPTION OF A DATA-BASED FUNCTION MODEL 审中-公开
    一种基于数据的功能模型后置自适应的方法和装置

    公开(公告)号：US20140351193A1

    公开(公告)日：2014-11-27

    申请号：US14286030

    申请日：2014-05-23

    申请人： Tobias LANG ,  Heiner MARKERT ,  Michael HANSELMANN

    发明人： Tobias LANG ,  Heiner MARKERT ,  Michael HANSELMANN

    IPC分类号： G06N5/02

    CPC分类号： G06N5/022 ,  G06N7/005

    摘要： A method for post-adaption of an at least partially data-based function model which corresponds to a sum of a basis function model, e.g., a data-based basis function model, and an additive fault model, includes: providing the basis function model; recording training data; ascertaining the data-based additive fault model based on difference training data which represent differences between the measured values of the training data and the function values of the data-based basis function model at the measuring points of the training data;and modifying the training data and/or the additive fault model so that function values of the data-based function model remain within a predefined adaption range.

    摘要翻译： 一种用于对基于基本函数模型（例如基于数据的基函数模型）和加法故障模型之和的对应的至少部分基于数据的函数模型进行后适配的方法包括：提供基函数模型 ; 记录训练数据; 基于差分训练数据确定基于数据的加法故障模型，该训练数据表示训练数据的测量值与训练数据的测量点上基于数据的基函数模型的功能值之间的差异; 以及修改训练数据和/或加法故障模型，使得基于数据的功能模型的功能值保持在预定义的适应范围内。

    METHOD AND DEVICE FOR CREATING A DATA-BASED FUNCTION MODEL
    7.
    发明申请
    METHOD AND DEVICE FOR CREATING A DATA-BASED FUNCTION MODEL 有权
    用于创建基于数据的功能模型的方法和装置

    公开(公告)号：US20140309754A1

    公开(公告)日：2014-10-16

    申请号：US14247104

    申请日：2014-04-07

    申请人： Heiner MARKERT ,  Rene DIENER ,  Felix STREICHERT ,  Andre GUNTORO ,  Michael HANSELMANN

    发明人： Heiner MARKERT ,  Rene DIENER ,  Felix STREICHERT ,  Andre GUNTORO ,  Michael HANSELMANN

    IPC分类号： G05B13/04 ,  G06N99/00

    CPC分类号： G05B13/04 ,  G06N99/005

    摘要： A method for generating a data-based function model includes: providing a first data-based partial model ascertained from a first training data record; providing at least one additional training data record; and performing the following steps for the at least one additional training data record: ascertaining a difference training data record having training data which correspond to the differences between the output values of the relevant additional training data record and the function value of the sum of the partial function values (ffirst—partial—model(x) fsecond—partial—model(x)) of the first data-based partial model and previously ascertained data-based partial model(s) at each of the measuring points of the relevant training data record; ascertaining an additional data-based partial model from the difference training data record; and forming a sum (f(x)) from the first and the additional data-based partial models.

    摘要翻译： 一种用于生成基于数据的功能模型的方法包括：提供从第一训练数据记录确定的第一基于数据的部分模型; 提供至少一个额外的训练数据记录; 以及对所述至少一个附加训练数据记录执行以下步骤：确定具有与所述相关附加训练数据记录的输出值之间的差异相对应的训练数据的差分训练数据记录与所述部分 第一基于数据的部分模型的功能值（ffirst-partial-model（x）fsecond-partial-model（x））和先前确定的相关训练数据的每个测量点的基于数据的部分模型 记录; 从差分训练数据记录中确定附加的基于数据的部分模型; 以及从第一个和附加的基于数据的部分模型形成和（f（x））。

    method and apparatus for supplying interpolation point data for a data-based function model calculation unit
    8.
    发明申请
    method and apparatus for supplying interpolation point data for a data-based function model calculation unit 有权
    为基于数据的功能模型计算单元提供内插点数据的方法和装置

    公开(公告)号：US20150019464A1

    公开(公告)日：2015-01-15

    申请号：US14326110

    申请日：2014-07-08

    申请人： The Duy NGUYEN-TUONG ,  Heiner Markert ,  Jens Schreiter ,  Michael Hanselmann

    发明人： The Duy NGUYEN-TUONG ,  Heiner Markert ,  Jens Schreiter ,  Michael Hanselmann

    IPC分类号： G06N99/00 ,  G06N5/02

    CPC分类号： G06N99/005 ,  F02D41/2416 ,  F02D2041/1423 ,  F02D2041/1433 ,  G06F17/17 ,  G06F17/5009 ,  G06N5/02 ,  G06N7/005

    摘要： A method for identifying a set of interpolation point data points from training data for a sparse Gaussian process model, encompassing the following tasks: successively selecting training data points from the set of training data for acceptance into or exclusion from a set of interpolation point data points in accordance with a selection criterion; and terminating selection when a termination criterion exists; the selection criterion depending on a divergence between a target value of the selected training data point and a function value, at the selected training data point, of the Gaussian process model based on the respectively current set of interpolation point data points.

    摘要翻译： 一种用于从稀疏高斯过程模型的训练数据中识别一组内插点数据点的方法，包括以下任务：从训练数据集中连续选择训练数据点，以便接受或排除一组内插点数据点 按照选择标准; 并且当终止标准存在时终止选择; 所述选择标准取决于所选择的训练数据点的目标值与所选择的训练数据点的功能值之间的偏差，所述训练数据点基于所述分别当前的内插点数据点集合而存在于所述高斯过程模型中。

    Method for operating a control unit and a control unit having a model calculation unit
    9.
    发明申请
    Method for operating a control unit and a control unit having a model calculation unit 有权
    用于操作控制单元的方法和具有模型计算单元的控制单元

    公开(公告)号：US20150012575A1

    公开(公告)日：2015-01-08

    申请号：US14321306

    申请日：2014-07-01

    申请人： Heiner Markert ,  Wolfgang Fischer ,  Nico Bannow ,  Andre Guntoro ,  Michael Hanselmann

    发明人： Heiner Markert ,  Wolfgang Fischer ,  Nico Bannow ,  Andre Guntoro ,  Michael Hanselmann

    IPC分类号： G06F7/60

    CPC分类号： G06F7/60 ,  G05B13/04 ,  G06F9/3877

    摘要： A method for operating a control unit, the control unit including a software-controlled main processing unit, a strictly hardware-based model calculation unit for calculating an algorithm, for carrying out a Bayesian regression method, based on configuration data, and a memory unit, a model memory area being defined in the memory unit to which a configuration register block for providing the configuration data in the model calculation unit is assigned, a calculation start-configuration register being assigned the highest address in the configuration register block into which configuration data are written, the writing into of which starts the calculation in the model calculation unit, the configuration data being written in a memory area of the memory unit from the model memory area into the configuration register block with an incremental copying process, the addresses being copied in the incremental copying process in ascending order.

    摘要翻译： 一种用于操作控制单元的方法，所述控制单元包括软件控制主处理单元，用于计算算法的基于硬件的模型计算单元，用于基于配置数据执行贝叶斯回归方法，以及存储单元 在存储单元中定义模型存储区域，在该单元中分配有用于在模型计算单元中提供配置数据的配置寄存器块，计算开始配置寄存器被分配给配置寄存器块中的最高地址，配置数据 写入，其中的写入开始在模型计算单元中的计算，配置数据被写入存储器单元的存储区域，从模型存储区域到增量复制处理的配置寄存器块，复制地址 在增量复制过程中按升序排列。

    METHOD AND DEVICE FOR CREATING A FUCNTION MODEL FOR A CONTROL UNIT OF AN ENGINE SYSTEM
    10.
    发明申请
    METHOD AND DEVICE FOR CREATING A FUCNTION MODEL FOR A CONTROL UNIT OF AN ENGINE SYSTEM 审中-公开
    用于创建发动机系统控制单元的模型的方法和装置

    公开(公告)号：US20140310210A1

    公开(公告)日：2014-10-16

    申请号：US14247121

    申请日：2014-04-07

    申请人： Heiner MARKERT ,  Rene DIENER ,  Ernst KLOPPENBURG ,  Felix STREICHERT ,  Michael HANSELMANN

    发明人： Heiner MARKERT ,  Rene DIENER ,  Ernst KLOPPENBURG ,  Felix STREICHERT ,  Michael HANSELMANN

    IPC分类号： G06N99/00

    CPC分类号： G06N20/00

    摘要： A computerized method for creating a function model based on a non-parametric, data-based model, e.g., a Gaussian process model, includes: providing training data including measuring points having one or multiple input variables, the measuring points each being assigned an output value of an output variable; providing a basic function; modifying the training data with the aid of difference formation between the function values of the basic function and the output values at the measuring points of the training data; creating the data-based model based on the modified training data; and providing the function model as a function of the data-based model and the basic function.

    摘要翻译： 用于基于非参数的基于数据的模型（例如，高斯过程模型）来创建功能模型的计算机化方法包括：提供包括具有一个或多个输入变量的测量点的训练数据，每个测量点被分配输出 输出变量的值; 提供基本功能; 借助于基本功能的功能值与训练数据的测量点的输出值之间的差异形成来修改训练数据; 基于修改的训练数据创建基于数据的模型; 并提供功能模型作为基于数据的模型和基本功能的函数。