Hellinger distance based probability distribution approach to performance monitoring of nonlinear control systems

被引：11

作者：

Li, Chen ^{[1
,2
]}

Huang, Biao ^{[2
]}

Qian, Feng ^{[1
]}

机构：

[1] E China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat, Shanghai 200237, Peoples R China

[2] Univ Alberta, Dept Chem & Mat Engn, Edmonton, AB T6G 2G6, Canada

来源：

CHINESE JOURNAL OF CHEMICAL ENGINEERING | 2015年 / 23卷 / 12期

基金：

中国国家自然科学基金;

关键词：

Control performance monitoring; Kernel density estimation; Hellinger distance; Nonlinear system;

D O I：

10.1016/j.cjche.2015.10.005

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

Control performance monitoring has attracted great attention in both academia and industry over the past two decades. However, most research efforts have been devoted to the performance monitoring of linear control systems, without considering the pervasive nonlinearities (e.g. valve stiction) present inmost industrial control systems. In this work, a novel probability distribution distance based index is proposed to monitor the performance of non-linear control systems. The proposed method uses Hellinger distance to evaluate change of control system performance. Several simulation examples are given to illustrate the effectiveness of the proposed method. (C) 2015 The Chemical Industry and Engineering Society of China, and Chemical Industry Press. All rights reserved.

引用

页码：1945 / 1950

页数：6

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