Identification and estimation of continuous-time, data-based mechanistic (DBM) models for environmental systems Export

@article{Young2006, abstract = {Initially, the paper provides an introduction to the main aspects of existing time-domain methods for identifying linear continuous-time models from discrete-time data and shows how one of these methods has been applied to the identification and estimation of a model for the transportation and dispersion of a pollutant in a river. It then introduces a widely applicable class of new, nonlinear, State Dependent Parameter (SDP) models. Finally, the paper describes how this SDP approach has been used to identify, estimate and control a nonlinear differential equation model of global carbon cycle dynamics and global warming. (c) 2005 Elsevier Ltd. All rights reserved.}, author = {Young, P. C. and Garnier, H.}, citeulike-article-id = {774734}, journal = {ENVIRONMENTAL MODELLING \& SOFTWARE}, keywords = {dbm, hydrology}, month = {August}, number = {8}, pages = {1055--1072}, posted-at = {2006-07-26 15:11:21}, priority = {2}, title = {Identification and estimation of continuous-time, data-based mechanistic (DBM) models for environmental systems}, volume = {21}, year = {2006} }

TY - JOUR ID - Young2006 L3 - citeulike-article-id:774734 N2 - Initially, the paper provides an introduction to the main aspects of existing time-domain methods for identifying linear continuous-time models from discrete-time data and shows how one of these methods has been applied to the identification and estimation of a model for the transportation and dispersion of a pollutant in a river. It then introduces a widely applicable class of new, nonlinear, State Dependent Parameter (SDP) models. Finally, the paper describes how this SDP approach has been used to identify, estimate and control a nonlinear differential equation model of global carbon cycle dynamics and global warming. (c) 2005 Elsevier Ltd. All rights reserved. IS - 8 JF - ENVIRONMENTAL MODELLING \& SOFTWARE EP - 1072 TI - Identification and estimation of continuous-time, data-based mechanistic (DBM) models for environmental systems VL - 21 SP - 1055 KW - dbm KW - hydrology AU - Young, PC AU - Garnier, H PY - 2006/August// ER -