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基于概率分布Hellinger距离的非线性控制系统性能监控（英文）

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

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【作者】 李晨； 黄彪； 钱锋；

【Author】 Chen Li;Biao Huang;Feng Qian;Key Laboratory of Advanced Control and Optimization,Ministry of Education,East China University of Science and Technology;Department of Chemical and Materials Engineering,University of Alberta;

【机构】 Key Laboratory of Advanced Control and Optimization,Ministry of Education,East China University of Science and Technology； Department of Chemical and Materials Engineering,University of Alberta；

【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 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.

【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 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.

【关键词】 Control performance monitoring； Kernel density estimation； Hellinger distance； Nonlinear system；
【Key words】 Control performance monitoring； Kernel density estimation； Hellinger distance； Nonlinear system；
【基金】 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);Shanghai R&D Platform Construction Program(13DZ2295300)
  • 【文献出处】 Chinese Journal of Chemical Engineering ,中国化学工程学报(英文版) , 编辑部邮箱 ,2015年12期
  • 【分类号】TP13
  • 【被引频次】6
  • 【下载频次】56
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