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Implicit models based methods use models without state information: unstated models.
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The analytic models based method aims to use mathematical equations to address both multi-physic and economic characteristics of a product.
Of the two sub-categories of model based methods, the explicit model-based methods are by far more popular, while there are only a few research articles in the alternative implicit methods.
Model based methods are of different types.
Model based methods are fundamental in modern food process engineering.
The feedback controllers were tuned by different heuristic and model based methods.
Thus, the control performance is more accurate and robust compared with non-adaptive model based methods.
Model based methods can give an important contribution to cope with the drastically increased complexity in ECU calibration.
Those "smart grids" should be designed and managed by model based methods, which are elaborated within these projects.
Component power model based methods use State of Charge (SOC) estimation methods to forecast the energy consumption of an application [24, 30].
Besides, the implementation of DTBM algorithms are easily understood and realized, but the drawback may be less robust than model based methods.
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