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求解非线性化工过程鲁棒数据校正的新方法
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] 苏宏业[2] 褚健[2] Author： ZHOU Lingke[1] SU Hongye[2] CHU Jian[2] 作者单位： 南京科技大学浙江大学 期 刊： 中国化学工程学报（英文版） ISTICEISCI Journal： CHINESE JOURNAL OF CHEMICAL ENGINEERING 年，卷(期)： 2006, 14(3) 分类号： N94 Keywords： data reconciliation robust estimator equivalent weights method 机标分类号： TG8 TG4 机标关键词： 求解 非线性 化工过程 数据校正 新方法 Data Reconciliation data reconciliation chemical process least squares estimator new method 基金项目： 国家自然科学基金，国家高技术研究发展计划(973计划) 求解非线性化工过程鲁棒数据校正的新方法[期刊论文] 中国化学工程学报（英文版） --2006, 14(3)周凌柯 苏宏业 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...【求解非线性化工过程鲁棒数据校正的新方法】相关文章：
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