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1. 发明授权

US07050866B2 Dynamic controller for controlling a system 有权
标题翻译：用于控制系统的动态控制器
公开(公告)号：US07050866B2
公开(公告)日：2006-05-23
申请号：US10847211
申请日：2004-05-17
申请人： Gregory D. Martin , Eugene Boe , Stephen Piche , James David Keeler , Douglas Timmer , Mark Gerules , John P. Havener
发明人： Gregory D. Martin , Eugene Boe , Stephen Piche , James David Keeler , Douglas Timmer , Mark Gerules , John P. Havener
IPC分类号： G05B13/02
CPC分类号： G05B17/02 , G05B13/048
摘要： A method for providing independent static and dynamic models in a prediction, control and optimization environment utilizes an independent static model (20) and an independent dynamic model (22). The static model (20) is a rigorous predictive model that is trained over a wide range of data, whereas the dynamic model (22) is trained over a narrow range of data. The gain K of the static model (20) is utilized to scale the gain k of the dynamic model (22). The forced dynamic portion of the model (22) referred to as the bi variables are scaled by the ratio of the gains K and k. The bi have a direct effect on the gain of a dynamic model (22). This is facilitated by a coefficient modification block (40). Thereafter, the difference between the new value input to the static model (20) and the prior steady-state value is utilized as an input to the dynamic model (22). The predicted dynamic output is then summed with the previous steady-state value to provide a predicted value Y. Additionally, the path that is traversed between steady-state value changes.
摘要翻译：在预测，控制和优化环境中提供独立的静态和动态模型的方法使用独立的静态模型（20）和独立的动态模型（22）。静态模型（20）是一种严格的预测模型，可在广泛的数据范围内进行训练，而动态模型（22）则是在窄范围的数据上进行训练。使用静态模型（20）的增益K来缩放动态模型（22）的增益k。被称为变量的模型（22）的强制动态部分通过增益K和k的比率来缩放。 b）对动态模型（22）的增益有直接的影响。这通过系数修改块（40）来促进。此后，将输入到静态模型（20）的新值与先前稳态值之间的差用作动态模型（22）的输入。然后将预测的动态输出与先前的稳态值相加以提供预测值Y.此外，在稳态值变化之间经过的路径。

2. 发明授权

US07047089B2 Kiln thermal and combustion control 有权
公开(公告)号：US07047089B2
公开(公告)日：2006-05-16
申请号：US10843160
申请日：2004-05-11
申请人： Gregory D. Martin , Eugene Boe , Stephen Piche , James David Keeler , Douglas Timmer , Mark Gerules , John P. Havener
发明人： Gregory D. Martin , Eugene Boe , Stephen Piche , James David Keeler , Douglas Timmer , Mark Gerules , John P. Havener
IPC分类号： G05B13/02
CPC分类号： G05B13/048 , G05B13/042 , G05B17/02
摘要： A method and apparatus for controlling a non-linear mill. A linear controller is provided having a linear gain k that is operable to receive inputs representing measured variables of the plant and predict on an output of the linear controller predicted control values for manipulatible variables that control the plant. A non-linear model of the plant is provided for storing a representation of the plant over a trained region of the operating input space and having a steady-state gain K associated therewith. The gain k of the linear model is adjusted with the gain K of the non-linear model in accordance with a predetermined relationship as the measured variables change the operating region of the input space at which the linear controller is predicting the values for the manipulatible variables. The predicted manipulatible variables are then output after the step of adjusting the gain k.

3. 发明申请

US20060094566A1 High frequency vaporized fuel injector 有权
公开(公告)号：US20060094566A1
公开(公告)日：2006-05-04
申请号：US11266161
申请日：2005-11-03
申请人： David Keeler , Francis Sprinkel , Niranjan Maharajh , Mimmo Elia , Josh Breinlinger , Jan-Roger Linna
发明人： David Keeler , Francis Sprinkel , Niranjan Maharajh , Mimmo Elia , Josh Breinlinger , Jan-Roger Linna
IPC分类号： B60W10/04 , F02M31/125 , B60W10/10
CPC分类号： F02D41/064 , F02M31/125 , F02M45/10 , F02M51/066 , F02M53/02 , F02M53/06 , F02M61/042 , F02M61/18 , F02M61/188 , F02M2200/60 , Y02T10/126 , Y10T477/68
摘要： There is provided a fuel injector system for vaporizing liquid fuel and metering the vapor to an internal combustion engine of an automobile. The system has at least one fuel injector with at least one capillary flow passage with a heat source arranged along the flow passage capable of heating liquid fuel in the flow passage to a level sufficient to vaporize it, a solenoid operated metering valve located at the capillary outlet for metering vaporized fuel to the internal combustion engine, and a system for operating the metering valve while delivering the vaporized fuel at an opening and closing frequency of at least 15 Hz or more preferably at least 60 Hz independent of engine rpm. The system is expected to be useful for starting a cold engine with reduced emissions.

4. 发明授权

US06735483B2 Method and apparatus for controlling a non-linear mill 有权
标题翻译：用于控制非线性磨机的方法和装置
公开(公告)号：US06735483B2
公开(公告)日：2004-05-11
申请号：US10314675
申请日：2002-12-09
申请人： Gregory D. Martin , Eugene Boe , Stephen Piche , James David Keeler , Douglas Timmer , Mark Gerules , John P. Havener
发明人： Gregory D. Martin , Eugene Boe , Stephen Piche , James David Keeler , Douglas Timmer , Mark Gerules , John P. Havener
IPC分类号： G05B1302
CPC分类号： G05B13/048 , G05B13/042 , G05B17/02
摘要： A method and apparatus for controlling a non-linear mill. A linear controller is provided having a linear gain k that is operable to receive inputs representing measured variables of the plant and predict on an output of the linear controller predicted control values for manipulatible variables that control the plant. A non-linear model of the plant is provided for storing a representation of the plant over a trained region of the operating input space and having a steady-state gain K associated therewith. The gain k of the linear model is adjusted with the gain K of the non-linear model in accordance with a predetermined relationship as the measured variables change the operating region of the input space at which the linear controller is predicting the values for the manipulatible variables. The predicted manipulatible variables are then output after the step of adjusting the gain k
摘要翻译：一种用于控制非线性磨机的方法和装置。提供具有线性增益k的线性控制器，其可操作以接收表示工厂的测量变量的输入，并且对线性控制器的输出预测用于控制工厂的操纵性变量的预测控制值。提供工厂的非线性模型，用于在工作输入空间的经过训练的区域上存储工厂的表示，并具有与其相关联的稳态增益K. 线性模型的增益k根据预定的关系用非线性模型的增益K进行调整，因为测量的变量改变了线性控制器预测操作变量的值的输入空间的操作区域。然后在调整增益k的步骤之后输出预测的操纵变量

5. 发明授权

US06438430B1 Kiln thermal and combustion control 有权
标题翻译：窑炉和燃烧控制
公开(公告)号：US06438430B1
公开(公告)日：2002-08-20
申请号：US09568190
申请日：2000-05-09
申请人： Gregory D. Martin , Eugene Boe , Stephen Piche , James David Keeler , Douglas Timmer , Mark Gerules , John P. Havener
发明人： Gregory D. Martin , Eugene Boe , Stephen Piche , James David Keeler , Douglas Timmer , Mark Gerules , John P. Havener
IPC分类号： G05B1302
CPC分类号： G05B13/048 , G05B13/042 , G05B17/02
摘要： A kiln thermal and combustion control. A predictive model is provided of the dynamics of selected aspects of the operation of the plant for modeling the dynamics thereof. The model has at least two discrete models associated therewith that model at least two of the selected aspects, the at least two discrete models having different dynamic responses. An optimizer receives desired values for the selected aspects of the operation of the plant modeled by the model and optimizes the inputs to the model to minimize error between the predicted and desired values. A control input device then applies the optimized input values to the plant after optimization thereof.
摘要翻译：窑炉和燃烧控制。提供了用于对其动态建模的工厂的操作的选定方面的动态的预测模型。所述模型具有至少两个与之相关的离散模型，所述至少两个所选择的方面模型，所述至少两个离散模型具有不同的动态响应。优化器接收由模型建模的工厂的操作的所选方面的期望值，并优化对模型的输入以最小化预测值和期望值之间的误差。然后，控制输入装置优化之后将优化的输入值应用于工厂。

6. 发明授权

US5859773A Residual activation neural network 失效
公开(公告)号：US5859773A
公开(公告)日：1999-01-12
申请号：US717719
申请日：1996-09-23
申请人： James David Keeler , Eric Jon Hartman , Kadir Liano , Ralph Bruce Ferguson
发明人： James David Keeler , Eric Jon Hartman , Kadir Liano , Ralph Bruce Ferguson
IPC分类号： G06F15/18 , G05B13/02 , G05B13/04 , G06N3/00 , G06F19/00
CPC分类号： G05B13/027 , Y10S706/906
摘要： A plant (72) is operable to receive control inputs c(t) and provide an output y(t). The plant (72) has associated therewith state variables s(t) that are not variable. A control network (74) is provided that accurately models the plant (72). The output of the control network (74) provides a predicted output which is combined with a desired output to generate an error. This error is back propagated through an inverse control network (76), which is the inverse of the control network (74) to generate a control error signal that is input to a distributed control system (73) to vary the control inputs to the plant (72) in order to change the output y(t) to meet the desired output. The control network (74) is comprised of a first network NET 1 that is operable to store a representation of the dependency of the control variables on the state variables. The predicted result is subtracted from the actual state variable input and stored as a residual in a residual layer (102). The output of the residual layer (102) is input to a hidden layer (108) which also receives the control inputs to generate a predicted output in an output layer (106). During back propagation of error, the residual values in the residual layer (102) are latched and only the control inputs allowed to vary.

7. 发明授权

US5842189A Method for operating a neural network with missing and/or incomplete data 失效
标题翻译：用于操作具有丢失和/或不完整数据的神经网络的方法
公开(公告)号：US5842189A
公开(公告)日：1998-11-24
申请号：US936679
申请日：1997-09-27
申请人： James David Keeler , Eric Jon Hartman , Ralph Bruce Ferguson
发明人： James David Keeler , Eric Jon Hartman , Ralph Bruce Ferguson
IPC分类号： G06F15/18 , G06F17/17 , G06N3/04 , G06N3/08
CPC分类号： G06N3/0472 , G06F17/17 , G06N3/049
摘要： A neural network system is provided that models the system in a system model (12) with the output thereof providing a predicted output. This predicted output is modified or controlled by an output control (14). Input data is processed in a data preprocess step (10) to reconcile the data for input to the system model (12). Additionally, the error resulted from the reconciliation is input to an uncertainty model to predict the uncertainty in the predicted output. This is input to a decision processor (20) which is utilized to control the output control (14). The output control (14) is controlled to either vary the predicted output or to inhibit the predicted output whenever the output of the uncertainty model (18) exceeds a predetermined decision threshold, input by a decision threshold block (22). Additionally, a validity model (16) is also provided which represents the reliability or validity of the output as a function of the number of data points in a given data region during training of the system model (12). This predicts the confidence in the predicted output which is also input to the decision processor (20). The decision processor (20) therefore bases its decision on the predicted confidence and the predicted uncertainty. Additionally, the uncertainty output by the data preprocess block (10) can be utilized to train the system model (12).
摘要翻译：提供了一种神经网络系统，其在系统模型（12）中对系统进行建模，其输出提供预测输出。该预测输出由输出控制（14）修改或控制。在数据预处理步骤（10）中处理输入数据，以便调整用于输入到系统模型（12）的数据。另外，由和解产生的误差被输入到不确定性模型中，以预测预测输出的不确定性。这被输入到用于控制输出控制（14）的决策处理器（20）。控制输出控制器（14），以便在不确定性模型（18）的输出超过由判定阈值块（22）输入的预定判定阈值时改变预测输出或禁止预测输出。此外，还提供了有效性模型（16），其表示在系统模型（12）的训练期间作为给定数据区域中的数据点的数量的函数的输出的可靠性或有效性。这预测了也输入到决策处理器（20）的预测输出的置信度。因此，决策处理器（20）将其决定基于预测的置信度和预测的不确定性。此外，可以利用数据预处理块（10）输出的不确定性来训练系统模型（12）。

8. 外观设计

USD714154S1 Water bottle 有权
标题翻译：水瓶
公开(公告)号：USD714154S1
公开(公告)日：2014-09-30
申请号：US29409107
申请日：2011-12-20
申请人： David Keeler
设计人： David Keeler

9. 发明申请

US20060047368A1 Method and system for controlling a vapor generator 有权
标题翻译：用于控制蒸汽发生器的方法和系统
公开(公告)号：US20060047368A1
公开(公告)日：2006-03-02
申请号：US10932257
申请日：2004-09-02
申请人： Niranjan Maharajh , Chris Tucker , David Keeler
发明人： Niranjan Maharajh , Chris Tucker , David Keeler
IPC分类号： B05B17/00 , A61M11/00
CPC分类号： F22B37/38 , F22B1/28 , F22B35/18
摘要： A programmable vapor generator forms a volatilized liquid by supplying a material in liquid form to a flow passage and heating the flow passage, such that the material volatilizes and expands out of an outlet of the channel. The volatilized material, if desired, mixes with ambient air such that volatilized material condenses to form the aerosol. An apparatus and method for generating such a volatilized liquid, as well as the control and methods of heating, are disclosed as an analytical tool useful for experimental use, a tool useful for production of commercial products or an inhaler device.
摘要翻译：可编程蒸汽发生器通过将液体形式的材料供应到流动通道并加热流动通道，使得材料从通道的出口挥发和膨胀而形成挥发液体。如果需要，挥发的物质与环境空气混合，使得挥发的物质冷凝形成气溶胶。公开了用于产生这种挥发性液体的装置和方法以及加热控制和方法，作为可用于实验用途的分析工具，可用于生产商业产品或吸入器装置的工具。

10. 发明授权

US06169980A Method for operating a neural network with missing and/or incomplete data 有权
标题翻译：用于操作具有丢失和/或不完整数据的神经网络的方法
公开(公告)号：US06169980A
公开(公告)日：2001-01-02
申请号：US09167400
申请日：1998-10-06
申请人： James David Keeler , Eric Jon Hartman , Ralph Bruce Ferguson
发明人： James David Keeler , Eric Jon Hartman , Ralph Bruce Ferguson
IPC分类号： G06F1518
CPC分类号： G06N3/0472 , G06F17/17 , G06N3/049
摘要： A neural network system is provided that models the system in a system model (12) with the output thereof providing a predicted output. This predicted output is modified or controlled by an output control (14). Input data is processed in a data preprocess step (10) to reconcile the data for input to the system model (12). Additionally, the error resulted from the reconciliation is input to an uncertainty model to predict the uncertainty in the predicted output. This is input to a decision processor (20) which is utilized to control the output control (14). The output control (14) is controlled to either vary the predicted output or to inhibit the predicted output whenever the output of the uncertainty model (18) exceeds a predetermined decision threshold, input by a decision threshold block (22). Additionally, a validity model (16) is also provided which represents the reliability or validity of the output as a function of the number of data points in a given data region during training of the system model (12). This predicts the confidence in the predicted output which is also input to the decision processor (20). The decision processor (20) therefore bases its decision on the predicted confidence and the predicted uncertainty. Additionally, the uncertainty output by the data preprocess block (10) can be utilized to train the system model (12).
摘要翻译：提供了一种神经网络系统，其在系统模型（12）中对系统进行建模，其输出提供预测输出。该预测输出由输出控制（14）修改或控制。在数据预处理步骤（10）中处理输入数据，以便调整用于输入到系统模型（12）的数据。另外，由和解产生的误差被输入到不确定性模型中，以预测预测输出的不确定性。这被输入到用于控制输出控制（14）的决策处理器（20）。控制输出控制器（14），以便在不确定性模型（18）的输出超过由判定阈值块（22）输入的预定判定阈值时改变预测输出或禁止预测输出。此外，还提供了有效性模型（16），其表示在系统模型（12）的训练期间作为给定数据区域中的数据点的数量的函数的输出的可靠性或有效性。这预测了也输入到决策处理器（20）的预测输出的置信度。因此，决策处理器（20）将其决定基于预测的置信度和预测的不确定性。此外，可以利用数据预处理块（10）输出的不确定性来训练系统模型（12）。

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