System identification of the upper part of Murray River
Data based modelling is an important tool for obtaining models of rivers. In this paper we
consider several identification methods, namely Prediction Error Method, Maximum
Likelihood, continuous time system identification, Refined Instrumental Variable method
(used within the context of Data-Based Mechanistic modelling) and Subspace Identification
Method, and apply them to real data from the Murray River in Australia. Both Multiple-Input
Single-Output models where the output is the water level in a lake and Multiple-Input …
consider several identification methods, namely Prediction Error Method, Maximum
Likelihood, continuous time system identification, Refined Instrumental Variable method
(used within the context of Data-Based Mechanistic modelling) and Subspace Identification
Method, and apply them to real data from the Murray River in Australia. Both Multiple-Input
Single-Output models where the output is the water level in a lake and Multiple-Input …
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