Data-based mechanistic modeling, forecasting, and control.

Data-based mechanistic modeling, forecasting, and control.

This article briefly reviews the main aspects of the generic data based mechanistic (DBM) approach to modeling stochastic dynamic systems and shown how it is being applied to the analysis, forecasting, and control of environmental and agricultural systems. The advantages of this inductive approach t...

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Detalles Bibliográficos
Publicado en:IEEE Control systems magazine 21, 5 (2001).
Autor principal: Young, P.
Formato: Artículo
Lenguaje:English
Materias:
Agriculture.
Data-based mechanistic modeling.
Environmental forecasting.
Flood forecasting.
Forced ventilation systems.
Greenhouse.
Model reduction.
Multivariable control systems.
Signal processing.
Stochastic dynamic systems.