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

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） presen...

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Bibliographic Details
Published in:Chinese journal of chemical engineering 2015-12, Vol.23 (12), p.1945-1950
Main Authors: Li, Chen, Huang, Biao, Qian, Feng
Format: Article
Language:English
Subjects:
Control performance monitoring
Hellinger distance
Kernel density estimation
Nonlinear system
学术界
工业控制系统
工业界
性能监控
性能监测
概率分布
距离
非线性控制系统
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Summary: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 in most 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.
ISSN:1004-9541
2210-321X
DOI:10.1016/j.cjche.2015.10.005