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Robust process model in the model-based control techniques identification method and system

机译:基于模型的鲁棒过程模型的控制技术识别方法和系统

摘要

PROBLEM TO BE SOLVED: To provide a method and system for process model identification that enables generation of an acceptable parametric process model even in situations where no process model parameter convergence has been obtained.;SOLUTION: A robust method of creating process models for use in controller generation, such as in MPC controller generation, adds noise to the process data collected and used in the model generation process. In particular, a robust method of creating a parametric process model first collects process outputs on the basis of known test input signals or sequences, adds random noise to the collected process data and then uses a standard or known technique to determine a process model from the collected process data.;COPYRIGHT: (C)2014,JPO&INPIT
机译:解决的问题:提供一种过程模型识别的方法和系统,即使在未获得过程模型参数收敛的情况下,也能够生成可接受的参数过程模型;解决方案:一种创建过程模型的可靠方法,可用于控制器生成(例如MPC控制器生成)会给模型生成过程中收集和使用的过程数据增加噪声。特别是,一种建立参数化过程模型的可靠方法是,首先根据已知的测试输入信号或序列收集过程输出,将随机噪声添加到收集的过程数据中,然后使用标准或已知技术从过程中确定过程模型。收集的过程数据。版权所有:(C)2014,JPO&INPIT

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