Approximate EM Algorithms for Parameter and State Estimation in Nonlinear Stochastic Models

Due to the availability of rapidly improving computer speeds, industry is increasingly using nonlinear process models in calculations that appear further down the control hierarchy. Indeed, nonlinear models are now frequently used for real-time control calculations. This trend means that there is gr...

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Bibliographische Detailangaben

Hauptverfasser:	Goodwin, G.C., Aguero, J.C.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Availability Computer industry Industrial control Linear systems Marine vehicles Mathematical model Parameter estimation State estimation Stochastic processes Time measurement
Online-Zugang:	Volltext bestellen
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