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A Combined Data And Gap Metric Approach to Nonlinear Process Control

机译:数据和间隙度量结合的非线性过程控制方法

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摘要

A procedure to design a model-based controller for a non-linear process is proposed in this paper. The procedure combines the gap metric analysis to determine a control-relevant nominal model and the model updating strategy using low-order filters. The filters are identified from a set of data generated from an experiment to the closed-loop system so that the discrepancies between the design and the actual closed-loop performances are minimised. Several simulation studies illustrate the applicability of the proposed procedure.
机译:提出了一种设计基于模型的非线性过程控制器的程序。该程序结合了间隙度量分析来确定与控制相关的标称模型和使用低阶滤波器的模型更新策略。从实验到闭环系统的一组数据中识别出滤波器,从而使设计与实际闭环性能之间的差异最小化。若干仿真研究说明了所提出程序的适用性。

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