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Nonlinear filtering toolbox

Citace: [] ŠIMANDL, M., FLÍDR, M., STRAKA, O., ŠVÁCHA, J. Nonlinear filtering toolbox. Plzeň : Západočeská univerzita, 2003. 18 s.
Druh: ZPRÁVA
Jazyk publikace: eng
Anglický název: Nonlinear filtering toolbox
Rok vydání: 2003
Místo konání: Plzeň
Název zdroje: Západočeská univerzita
Autoři: Miroslav Šimandl , Miroslav Flídr , Ondřej Straka , Jaroslav Švácha
Abstrakt EN: The purpose of this report is to describe the Nonlinear Filtering Toolbox (NFT) as a software package developed for solving discrete nonlinear filtering problem. The package represents an easy-to-use instrument for model and estimator design which is based on MATLAB environment. The NFT allows to define a system model, to simulate it, to choose an estimator, estimate state of the model and also to combine the estimator with a controller. The package contains variety of state estimators either for linear Gaussian models or for nonlinear non-Gaussian models. Thus it can be used for state estimation of generally nonlinear and non-Gaussian models and also for problems like tracking time-varying parameters, fault detection, hypothesis testing and so on.
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