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A Support Vector Regression Approach for Recursive Simultaneous Data Reconciliation and Gross Error Detection in Nonlinear Dynamical Systems 被引量:3

A Support Vector Regression Approach for Recursive Simultaneous Data Reconciliation and Gross Error Detection in Nonlinear Dynamical Systems
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出处 《自动化学报》 EI CSCD 北大核心 2009年第6期707-716,共10页 Acta Automatica Sinica
基金 Supported by National High Technology Research and Development Program of China (863 Program) (2006AA040308), National Natural Science Foundation of China (60736021), and the National Creative Research Groups Science Foundation of China (60721062)
关键词 数据分析 自动化系统 智能系统 质量数据 Support vector regression, data reconciliation, gross error detection, nonlinear estimation
作者简介 MIAO Yu Ph.D. candidate at the In- stitute of Cyber-Systems and Control, Zhejiang University. He received his bachelor degree from Northeastern University in 2004. His research interest covers data reconciliation and manufacturing execution system. E-mail: ymiao@iipc.zju.edu.cn SU Hong-Ye Professor at the Institute of Cyber-Systems and Control, Zhejiang University. He received his bachelor degree from Nanjing University of Chemical Technology in 1990, master and Ph.D. degrees from Zhejiang University in 1993 and 1995, respectively. His research interest covers robust control, and advanced process control and optimization. Corresponding author of this paper. E-mail: hysu@iipc.zju.edu.en CHU Jian Professor at the Institute of Cyber-Systems and Control, Zhejiang University. He received his bachelor degree in chemical engineering from Zhejiang University in 1982, and Ph.D. degree from Kyoto University in 1989. His research interest covers time-delay systems, nonlinear control, and robust control and application. E-marl: chuj@iipc.zju.edu.cn
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