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32. 发明授权

US5781432A Method and apparatus for analyzing a neural network within desired operating parameter constraints 失效
标题翻译：用于在期望的操作参数约束内分析神经网络的方法和装置
公开(公告)号：US5781432A
公开(公告)日：1998-07-14
申请号：US759539
申请日：1996-12-04
申请人： James David Keeler , Eric Jon Hartman
发明人： James David Keeler , Eric Jon Hartman
IPC分类号： G05B13/02
CPC分类号： G05B13/027 , G05B13/0285 , F23N2023/44
摘要： A distributed control system (14) receives on the input thereof the control inputs and then outputs control signals to a plant (10) for the operation thereof. The measured variables of the plant and the control inputs are input to a predictive model (34) that operates in conjunction with an inverse model (36) to generate predicted control inputs. The predicted control inputs are processed through a filter (46) to apply hard constraints, the values of which are received from a control parameter block (22). During operation, predetermined criterion stored in the control parameter block (22) are utilized by a cost minimization block (42) to generate an error control signal which is minimized by the inverse model (36) to generate the control signals. The system works in two modes, an analyze mode and a runtime mode. In the analyze mode, the predictive model (34) and the inverse model (36) are connected to either training data or simulated data from the analyzer (30) and the operation of the plant (10) evaluated. The values of the hard constraints in filter (46) and the criterion utilized for the cost minimization (42) can then be varied to change the constraints on the control signals input to the control network, the predicted output of the predictive model (34) and the hard constraints stored in the filter (46). Cost coefficients can be utilized as the criterion to set the input values in accordance with predetermined cost constraints.
摘要翻译：分布式控制系统（14）在其输入端接收控制输入，然后将控制信号输出到用于其操作的设备（10）。工厂和控制输入的测量变量被输入到与逆模型（36）一起工作以产生预测控制输入的预测模型（34）。通过滤波器（46）处理预测的控制输入以施加硬约束，其值从控制参数块（22）接收。在操作期间，存储在控制参数块（22）中的预定标准由成本最小化块（42）利用以产生由逆模型（36）最小化以产生控制信号的误差控制信号。系统工作在两种模式，分析模式和运行时模式。在分析模式中，预测模型（34）和逆模型（36）连接到来自分析器（30）的训练数据或模拟数据以及所评估的装置（10）的操作。然后可以改变过滤器（46）中的硬约束的值和用于成本最小化（42）的标准的值，以改变输入到控制网络的控制信号的约束，预测模型（34）的预测输出，以及存储在过滤器（46）中的硬约束。可以使用成本系数作为根据预定成本约束设置输入值的标准。

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