Set-membership estimation from poor quality data sets: Modelling ammonia volatilisation in flooded rice systems

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• 作者：K. Nurulhuda^a ; ^b ; ^{k_nurulhuda@upm.edu.my} ; ^{nurulhuda.khairudin@gmail.com} ; P.C. Struik^c ; ^{paul.struik@wur.nl} ; K.J. Keesman^b ; ^{karel.keesman@wur.nl}
• 关键词：Set-membership approach ; Bounded-error ; Parameter estimation ; Uncertainty analysis ; Model calibration ; Ammonia volatilisation ; Flooded rice
• 刊名：Environmental Modelling & Software
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：88
• 期：Complete
• 页码：138-150
• 全文大小：1741 K
• 卷排序：88

文摘

Parameters in a model were estimated from poor quality data sets using sets. The set-membership approach resulted in many parameter-vectors that fit the data. The feasible parameter-vectors encompass estimates from conventional methods. Parameter-vectors eigenvalue decomposition shows regional parameter sensitivity.