文章基本信息

标题：Simultaneous Parameter and State Estimation of Agro-Hydrological Systems
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作者：Song Bo ; Soumya R. Sahoo ; Xunyuan Yin 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2020
卷号：53
期号：2
页码：11767-11772
DOI：10.1016/j.ifacol.2020.12.683
语种：English
出版社：Elsevier
摘要：AbstractThe Richards equation plays an important role in the study of agro-hydrological systems. It models the water movement in soil in the vadose zone, which is driven by capillary and gravitational forces. Its states (capillary potential) and parameters (hydraulic conductivity, saturated and residual soil moistures and van Genuchten-Mualem parameters) are essential for the accuracy of mathematical modeling, yet difficult to obtain experimentally. In this work, an estimation approach is developed to estimate the parameters and states of the Richards equation simultaneously. Parameter identifiability and sensitivity analysis are used to determine the most important parameters for estimation purpose. Three common estimation schemes (extended Kalman filter, ensemble Kalman filter and moving horizon estimation) are investigated. The estimation performance is compared and analyzed based on extensive simulations.
关键词：Keywordsstate estimationparameter estimationmoving horizon estimationextended kalman filterensemble kalman filterrichards equation