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This paper deals with the state estimation of nonlinear discrete systems described by a multiple model with unknown inputs.
Similarly, the reported DIC V supports that the multiple model with values of 636.4 and 791.2 is also the best fit in this case.
In order to design such an observer, the nonlinear system presented in a singular perturbed form is transformed into an equivalent multiple model with unmeasurable premise variables (UPV) affected by unknown inputs (UI).
We fitted univariate models for all eight covariates and a multiple model with all covariates.
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You see more and more images of multiple models with multiple sunglasses and multiple bags.
More recently, Dr Smith and his team have been using clusters of computers around Britain to run multiple models with slightly different initial conditions.
Every physical phenomenon can be described by multiple models with varying degrees of fidelity.
We then merge forecasts from the multiple models with Bayesian model averaging to combine the strengths of the individual models.
These criteria were calculated for multiple models with varying parameters expecting that the model decision boundary lay at some optimum of the response curve.
In any event, producing multiple models with staged introduction of predictor and control variables implicitly treats all as equally important or unimportant until proven otherwise.
In this paper, an adaptive control method using multiple models with second level adaptation is proposed for a class of nonlinear multi-input multi-output (MIMO) coupled systems.
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