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

doi:10.1016/j.cjche.2015.10.005

Chinese Journal of Chemical Engineering ›› 2015, Vol. 23 ›› Issue (12): 1945-1950.DOI: 10.1016/j.cjche.2015.10.005

• 第25届中国过程控制会议专栏 • 上一篇下一篇

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

Chen Li^1,2, Biao Huang², Feng Qian¹

1 Key Laboratory of Advanced Control and Optimization, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China;
2 Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB T6G 2G6, Canada

收稿日期:2015-05-19 修回日期:2015-09-02 出版日期:2015-12-28 发布日期:2016-01-19
通讯作者: Feng Qian
基金资助:
Supported by the National Natural Science Foundation of China (61134007, 61203157), the National Science Fund for Outstanding Young Scholars (61222303), the Fundamental Research Funds for the Central Universities (22A20151405) and Shanghai R&D Platform Construction Program (13DZ2295300).

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

Chen Li^1,2, Biao Huang², Feng Qian¹

1 Key Laboratory of Advanced Control and Optimization, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China;
2 Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB T6G 2G6, Canada

Received:2015-05-19 Revised:2015-09-02 Online:2015-12-28 Published:2016-01-19
Contact: Feng Qian
Supported by:
Supported by the National Natural Science Foundation of China (61134007, 61203157), the National Science Fund for Outstanding Young Scholars (61222303), the Fundamental Research Funds for the Central Universities (22A20151405) and Shanghai R&D Platform Construction Program (13DZ2295300).

摘要/Abstract

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 thiswork, a novel probability distribution distance based index is proposed tomonitor the performance of non-linear control systems. The proposedmethod uses Hellinger distance to evaluate change of control system performance. Several simulation examples are given to illustrate the effectiveness of the proposed method.

关键词: Control performance monitoring, Kernel density estimation, Hellinger distance, Nonlinear system

Abstract: 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 thiswork, a novel probability distribution distance based index is proposed tomonitor the performance of non-linear control systems. The proposedmethod uses Hellinger distance to evaluate change of control system performance. Several simulation examples are given to illustrate the effectiveness of the proposed method.

Key words: Control performance monitoring, Kernel density estimation, Hellinger distance, Nonlinear system

Chen Li, Biao Huang, Feng Qian. Hellinger distance based probability distribution approach to performance monitoring of nonlinear control systems[J]. Chinese Journal of Chemical Engineering, 2015, 23(12): 1945-1950.

Chen Li, Biao Huang, Feng Qian. Hellinger distance based probability distribution approach to performance monitoring of nonlinear control systems[J]. Chin.J.Chem.Eng., 2015, 23(12): 1945-1950.

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

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

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