求解非線性化工過程魯棒數據校正的新方法

Abstract：Data reconciliation is an effective technique for providing accurate and consistent value for chemical process. However, the presence of gross errors can severely bias the reconciled results. Robust estimators can significantly reduce the effect of gross errors and yield less-biased results. In this article, a new method is proposed to solve the robust data reconciliation problem of nonlinear chemical process. By using several technologies including linearization method, penalty function, virtual observation equation, and equivalent weights method, the robust data reconciliation problem can be transformed into least squares estimator problem which leads to the convenience in computation. Simulation results in a nonlinear chemical process demonstrate the efficiency of the proposed method. 作者： 周凌柯[1]  蘇宏業[2]  褚健[2] Author： ZHOU Lingke[1]  SU Hongye[2]  CHU Jian[2] 作者單位： 南京科技大學浙江大學 期 刊： 中國化學工程學報（英文版）   ISTICEISCI Journal： CHINESE JOURNAL OF CHEMICAL ENGINEERING 年，卷(期)： 2006, 14(3) 分類號： N94 Keywords： data reconciliation    robust estimator    equivalent weights method    機標分類號： TG8 TG4 機標關鍵詞： 求解    非線性    化工過程    數據校正    新方法    Data Reconciliation    data reconciliation    chemical process    least squares estimator    new method 基金項目： 國家自然科學基金，國家高技術研究發展計劃(973計劃) 求解非線性化工過程魯棒數據校正的新方法[期刊論文]  中國化學工程學報（英文版） --2006, 14(3)周凌柯  蘇宏業  褚健Data reconciliation is an effective technique for providing accurate and consistent value for chemical process. However, the presence of gross errors can severely bias the reconciled results. Robust es...

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