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1. 发明申请

US20100082124A1 ASYMETRICAL PROCESS PARAMETER CONTROL SYSTEM AND METHOD 有权
标题翻译：非线性过程参数控制系统及方法
公开(公告)号：US20100082124A1
公开(公告)日：2010-04-01
申请号：US12242431
申请日：2008-09-30
申请人： Brian Kent Stephenson , David G. Hoch , L. Paul Collete, III
发明人： Brian Kent Stephenson , David G. Hoch , L. Paul Collete, III
IPC分类号： G05B13/00
CPC分类号： G05B13/048
摘要： A technique is disclosed for asymmetrically controlling a process parameter based upon the direction of a prediction error between a predicted value determined using an inferential model and a laboratory measurement of the parameter. The present technique provides for the adaptive biasing of the predicted value based upon the direction of the prediction error. In one embodiment, a biasing factor may be determined by filtering the prediction error, such that the prediction error is emphasized more heavily in the biasing factor if the prediction error is in a less tolerable direction and emphasized less heavily if the prediction error is in the opposite direction. The biasing factor may further be determined as a function of a previous biasing factor computed during the process. Asymmetric control of the process parameter may be performed by controlling the parameter using model predictive control techniques based on the biased predicted values of the parameter.
摘要翻译：公开了一种基于使用推理模型确定的预测值和参数的实验室测量之间的预测误差的方向来不对称地控制过程参数的技术。本技术提供了基于预测误差的方向的预测值的自适应偏置。在一个实施例中，可以通过对预测误差进行滤波来确定偏置因子，使得如果预测误差处于较不可容许的方向，预测误差在偏置因子中被更强调，并且如果预测误差在相反的方向。偏置因子可以进一步被确定为在该过程期间计算的先前偏置因子的函数。可以通过使用基于参数的偏置预测值的模型预测控制技术来控制参数来执行过程参数的不对称控制。

2. 发明授权

US08521311B2 Asymmetrical process parameter control system and method 有权
标题翻译：不对称过程参数控制系统及方法
公开(公告)号：US08521311B2
公开(公告)日：2013-08-27
申请号：US13252052
申请日：2011-10-03
申请人： Brian Kent Stephenson , David G. Hoch , L. Paul Collete, III
发明人： Brian Kent Stephenson , David G. Hoch , L. Paul Collete, III
IPC分类号： G06F19/00
CPC分类号： G05B13/048
摘要： A technique is disclosed for asymmetrically controlling a process parameter based upon the direction of a prediction error between a predicted value determined using an inferential model and a laboratory measurement of the parameter. The present technique provides for the adaptive biasing of the predicted value based upon the direction of the prediction error. In one embodiment, a biasing factor may be determined by filtering the prediction error, such that the prediction error is emphasized more heavily in the biasing factor if the prediction error is in a less tolerable direction and emphasized less heavily if the prediction error is in the opposite direction. The biasing factor may further be determined as a function of a previous biasing factor computed during the process. Asymmetric control of the process parameter may be performed by controlling the parameter using model predictive control techniques based on the biased predicted values of the parameter.
摘要翻译：公开了一种基于使用推理模型确定的预测值和参数的实验室测量之间的预测误差的方向来不对称地控制过程参数的技术。本技术提供了基于预测误差的方向的预测值的自适应偏置。在一个实施例中，可以通过对预测误差进行滤波来确定偏置因子，使得如果预测误差处于较不可容许的方向，预测误差在偏置因子中被更强调，并且如果预测误差在相反的方向。偏置因子可以进一步被确定为在该过程期间计算的先前偏置因子的函数。可以通过使用基于参数的偏置预测值的模型预测控制技术来控制参数来执行过程参数的不对称控制。

3. 发明授权

US08352394B2 Validation of laboratory test data based on predicted values of property-of-interest 有权
标题翻译：基于利益特性的预测值验证实验室测试数据
公开(公告)号：US08352394B2
公开(公告)日：2013-01-08
申请号：US12242670
申请日：2008-09-30
申请人： Brian Kent Stephenson , David G. Hoch , L. Paul Collete, III
发明人： Brian Kent Stephenson , David G. Hoch , L. Paul Collete, III
IPC分类号： G06F17/00 , G06N5/00
CPC分类号： G06N5/047 , G05B19/41875 , G05B2219/32187 , Y02P90/22
摘要： The present invention provides novel techniques for validating laboratory data values for properties of interest of products produced by a process system. In particular, samples of the product may be sent to a laboratory testing facility, where laboratory testing procedures may be used to obtain the laboratory data values for the property of interest. The laboratory data values may be sent to a control system which includes a laboratory data validation module. The laboratory data validation module may be capable of validating the laboratory data values of the property of interest by comparing the laboratory data values of the property of interest with predicted values generated by a model. The model may be created using inputs such as laboratory and measured data values of the property of interest as well as laboratory and measured data values of other properties of the product. In particular, the laboratory data validation module may, in certain embodiments, include a laboratory data validation model, which may aid the validation of the laboratory data values of the property of interest.
摘要翻译：本发明提供用于验证由过程系统产生的产品的感兴趣的性质的实验室数据值的新技术。特别是，产品的样品可能被送到实验室检测设施，在那里可以使用实验室检测程序来获取感兴趣的物质的实验室数据值。实验室数据值可以发送到包括实验室数据验证模块的控制系统。实验室数据验证模块可以通过将感兴趣的实验室数据值与模型生成的预测值进行比较来验证感兴趣的性质的实验室数据值。可以使用诸如实验室和所关心的物质的测量数据值以及产品的其他性质的实验室和测量数据值的输入来创建该模型。特别地，在某些实施方案中，实验室数据验证模块可以包括实验室数据验证模型，其可以帮助验证感兴趣的性质的实验室数据值。

4. 发明授权

US08594828B2 System and method for optimizing a paper manufacturing process 有权
标题翻译：优化造纸工艺的系统和方法
公开(公告)号：US08594828B2
公开(公告)日：2013-11-26
申请号：US12242378
申请日：2008-09-30
申请人： Brian Kent Stephenson , David G. Hoch , L. Paul Collete, III
发明人： Brian Kent Stephenson , David G. Hoch , L. Paul Collete, III
IPC分类号： G06F7/66 , G05B13/00 , D21G9/00 , G05B17/02 , G05B13/04
CPC分类号： D21G9/0009 , D21G9/0027 , G05B13/042 , G05B13/048 , G05B17/02
摘要： A technique is disclosed for optimizing a quality parameter in a process that is not directly measurable online using conventional measurement devices. The technique includes the use of a first inferential model to predict a value for the parameter based upon other process variables. A second inferential model predicts a residual component of the process parameter based off non-controllable residual variables of the process. The inferential model outputs are combined to produce a composite predicted value which may be further adjusted by an actual prediction error determined via comparison with an offline measurement. The adjusted predicted value is provided to a dynamic predictive model which may be adapted to implement control actions to drive or maintain the quality parameter at a target set point. The technique may further consider cost optimization factors and production reliability factors in order to produce a product meeting the target quality set point or range while considering production requirements and minimizing overall costs.
摘要翻译：公开了一种用于在使用常规测量装置在线不能直接测量的过程中优化质量参数的技术。该技术包括使用第一推理模型来基于其他过程变量预测参数的值。第二推理模型基于过程的非可控剩余变量来预测过程参数的残差分量。组合推理模型输出以产生可以通过与离线测量的比较确定的实际预测误差进一步调整的复合预测值。将经调整的预测值提供给动态预测模型，该动态预测模型可适于实现控制动作以驱动或维持目标设定点处的质量参数。该技术可以进一步考虑成本优化因素和生产可靠性因素，以便在考虑生产要求并最小化总体成本的同时生产满足目标质量设定点或范围的产品。

5. 发明授权

US08032236B2 Asymetrical process parameter control system and method 有权
标题翻译：不对称过程参数控制系统及方法
公开(公告)号：US08032236B2
公开(公告)日：2011-10-04
申请号：US12242431
申请日：2008-09-30
申请人： Brian Kent Stephenson , David G. Hoch , L. Paul Collete, III
发明人： Brian Kent Stephenson , David G. Hoch , L. Paul Collete, III
IPC分类号： G05B13/02 , G06F7/66
CPC分类号： G05B13/048
摘要： A technique is disclosed for asymmetrically controlling a process parameter based upon the direction of a prediction error between a predicted value determined using an inferential model and a laboratory measurement of the parameter. The present technique provides for the adaptive biasing of the predicted value based upon the direction of the prediction error. In one embodiment, a biasing factor may be determined by filtering the prediction error, such that the prediction error is emphasized more heavily in the biasing factor if the prediction error is in a less tolerable direction and emphasized less heavily if the prediction error is in the opposite direction. The biasing factor may further be determined as a function of a previous biasing factor computed during the process. Asymmetric control of the process parameter may be performed by controlling the parameter using model predictive control techniques based on the biased predicted values of the parameter.
摘要翻译：公开了一种基于使用推理模型确定的预测值和参数的实验室测量之间的预测误差的方向来不对称地控制过程参数的技术。本技术提供了基于预测误差的方向的预测值的自适应偏置。在一个实施例中，可以通过对预测误差进行滤波来确定偏置因子，使得如果预测误差处于较不可容许的方向，预测误差在偏置因子中被更强调，并且如果预测误差在相反的方向。偏置因子可以进一步被确定为在该过程期间计算的先前偏置因子的函数。可以通过使用基于参数的偏置预测值的模型预测控制技术来控制参数来执行过程参数的不对称控制。

6. 发明申请

US20120023061A1 ASYMMETRICAL PROCESS PARAMETER CONTROL SYSTEM AND METHOD 有权
标题翻译：非对称过程参数控制系统和方法
公开(公告)号：US20120023061A1
公开(公告)日：2012-01-26
申请号：US13252052
申请日：2011-10-03
申请人： Brian Kent Stephenson , David G. Hoch , L. Paul Collete, III
发明人： Brian Kent Stephenson , David G. Hoch , L. Paul Collete, III
IPC分类号： G06N5/04
CPC分类号： G05B13/048
摘要： A technique is disclosed for asymmetrically controlling a process parameter based upon the direction of a prediction error between a predicted value determined using an inferential model and a laboratory measurement of the parameter. The present technique provides for the adaptive biasing of the predicted value based upon the direction of the prediction error. In one embodiment, a biasing factor may be determined by filtering the prediction error, such that the prediction error is emphasized more heavily in the biasing factor if the prediction error is in a less tolerable direction and emphasized less heavily if the prediction error is in the opposite direction. The biasing factor may further be determined as a function of a previous biasing factor computed during the process. Asymmetric control of the process parameter may be performed by controlling the parameter using model predictive control techniques based on the biased predicted values of the parameter.
摘要翻译：公开了一种基于使用推理模型确定的预测值和参数的实验室测量之间的预测误差的方向来不对称地控制过程参数的技术。本技术提供了基于预测误差的方向的预测值的自适应偏置。在一个实施例中，可以通过对预测误差进行滤波来确定偏置因子，使得如果预测误差处于较不可容许的方向，预测误差在偏置因子中被更强调，并且如果预测误差在相反的方向。偏置因子可以进一步被确定为在该过程期间计算的先前偏置因子的函数。可以通过使用基于参数的偏置预测值的模型预测控制技术来控制参数来执行过程参数的不对称控制。

7. 发明申请

US20100082121A1 VALIDATION OF LABORATORY TEST DATA 有权
标题翻译：实验室测试数据验证
公开(公告)号：US20100082121A1
公开(公告)日：2010-04-01
申请号：US12242670
申请日：2008-09-30
申请人： Brian Kent Stephenson , David G. Hoch , L. Paul Collete, III
发明人： Brian Kent Stephenson , David G. Hoch , L. Paul Collete, III
IPC分类号： G05B13/02 , G06N5/02
CPC分类号： G06N5/047 , G05B19/41875 , G05B2219/32187 , Y02P90/22
摘要： The present invention provides novel techniques for validating laboratory data values for properties of interest of products produced by a process system. In particular, samples of the product may be sent to a laboratory testing facility, where laboratory testing procedures may be used to obtain the laboratory data values for the property of interest. The laboratory data values may be sent to a control system which includes a laboratory data validation module. The laboratory data validation module may be capable of validating the laboratory data values of the property of interest by comparing the laboratory data values of the property of interest with predicted values generated by a model. The model may be created using inputs such as laboratory and measured data values of the property of interest as well as laboratory and measured data values of other properties of the product. In particular, the laboratory data validation module may, in certain embodiments, include a laboratory data validation model, which may aid the validation of the laboratory data values of the property of interest.
摘要翻译：本发明提供用于验证由过程系统产生的产品的感兴趣的性质的实验室数据值的新技术。特别是，产品的样品可能被送到实验室检测设施，在那里可以使用实验室检测程序来获取感兴趣的物质的实验室数据值。实验室数据值可以发送到包括实验室数据验证模块的控制系统。实验室数据验证模块可以通过将感兴趣的实验室数据值与模型生成的预测值进行比较来验证感兴趣的性质的实验室数据值。可以使用诸如实验室和所关心的物质的测量数据值以及产品的其他性质的实验室和测量数据值的输入来创建该模型。特别地，在某些实施方案中，实验室数据验证模块可以包括实验室数据验证模型，其可以帮助验证感兴趣的性质的实验室数据值。

8. 发明申请

US20100082120A1 SYSTEM AND METHOD FOR OPTIMIZING A PAPER MANUFACTURING PROCESS 有权
标题翻译：优化纸张制造工艺的系统和方法
公开(公告)号：US20100082120A1
公开(公告)日：2010-04-01
申请号：US12242378
申请日：2008-09-30
申请人： Brian Kent Stephenson , David G. Hoch , L. Paul Collete, III
发明人： Brian Kent Stephenson , David G. Hoch , L. Paul Collete, III
IPC分类号： G05B13/00 , G06F19/00
CPC分类号： D21G9/0009 , D21G9/0027 , G05B13/042 , G05B13/048 , G05B17/02
摘要： A technique is disclosed for optimizing a quality parameter in a process that is not directly measurable online using conventional measurement devices. The technique includes the use of a first inferential model to predict a value for the parameter based upon other process variables. A second inferential model predicts a residual component of the process parameter based off non-controllable residual variables of the process. The inferential model outputs are combined to produce a composite predicted value which may be further adjusted by an actual prediction error determined via comparison with an offline measurement. The adjusted predicted value is provided to a dynamic predictive model which may be adapted to implement control actions to drive or maintain the quality parameter at a target set point. The technique may further consider cost optimization factors and production reliability factors in order to produce a product meeting the target quality set point or range while considering production requirements and minimizing overall costs.
摘要翻译：公开了一种用于在使用常规测量装置在线不能直接测量的过程中优化质量参数的技术。该技术包括使用第一推理模型来基于其他过程变量预测参数的值。第二推理模型基于过程的非可控剩余变量来预测过程参数的残差分量。组合推理模型输出以产生可以通过与离线测量的比较确定的实际预测误差进一步调整的复合预测值。将经调整的预测值提供给动态预测模型，该动态预测模型可适于实现控制动作以驱动或维持目标设定点处的质量参数。该技术可以进一步考虑成本优化因素和生产可靠性因素，以便在考虑生产要求并最小化总体成本的同时生产满足目标质量设定点或范围的产品。

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