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Consistent estimators for nonlinear vessel models
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DOI：10.1016/j.automatica.2024.111660.png)
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Abstract
En 中文
In this work, the issue of obtaining consistent parameter estimators for nonlinear regression models where the regressors are second -order modulus functions is explored. It is shown that consistent instrumental variable estimators can be obtained by estimating first and second -order moments of non -additive environmental disturbances' probability distributions as nuisance parameters in parallel to the sought-after model parameters, conducting experiments with a static excitation offset of sufficient amplitude and forcing the instruments to have zero mean. The proposed method is evaluated in a simulation example with a model of a marine surface vessel. (c) 2024 Elsevier Ltd. All rights reserved.
Keywords:
System identification
Nonlinear models
Greybox modeling
Physical models
Marine systems
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