一种新的动态进程识别核方法

2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) Pub Date : 2020-12-20 DOI:10.1109/STA50679.2020.9329304

O. Taouali

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引用次数: 0

摘要

提出了一种新的动态过程建模核方法。所开发的算法被称为自适应简化核偏最小二乘(ARKPLS)。开发的ARKPLS在离线场景中使用了reduce KPLS技术，以建立一个参数数量较少的模型，然后在在线场景中更新保留的参数数量。所建议的技术已用于识别一个非线性过程。

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A Novel Kernel method for Dynamic Process Identification

This paper proposes a new kernel method for dynamic process modelling. The developed algorithm is titled Adaptive Reduced Kernel Partial Least Squares (ARKPLS). The developed ARKPLS uses the Reduced KPLS technique in an offline scenario in order to build a model which have a small parameter number after that, the number of the retained parameters are update in an online scenario. The suggested technique has been used to identify a nonlinear process.

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来源期刊

2020 20th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)

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