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Stability analysis is investigated to show unstable zones and it is explored using a state representation.
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This method is implemented using a state space representation of the trend signal (Kitagawa, 2010): (3) where the system noise is assumed to be Gaussian white noise with a covariance of.
An advantage of such lumped-parameter models, however, is that the conditions for stability, which is not guaranteed in an active model and can otherwise lead to misleading results, can be formulated using a state space representation [ 22].
Some approaches for training a conversion function that are not based on GMM have been proposed, among them training using a state-space representation [17], and using exemplar-based sparse-representation [18].
By using a state-space representation of a MIMO model of the equipped structure, derived from Finite Elements Modeling and modal analysis, a criterion is proposed to determine the most energetic modes.
By using a state-space representation of a MIMO model of the equipped structure, derived from Finite Elements Modeling and modal analysis, a synthesis setup is derived to design an H2 controller.
By using a state-space representation of a MIMO model of the equipped structure, derived from Finite Elements Modeling and modal analysis, a synthesis setup is derived to design an H∞ controller.
The GB approach uses a state space representation of the source and target spectra to obtain a converted spectra as a weighted sum of the target training vectors.
Using a canonical state representation of the process dynamics the geometric structure of the operating point's stability boundary is characterized.
This comparison was performed to assess the methodological improvement introduced by using a discrete state representation of local dynamics.
The results achieved are encouraging and indicate the potential of using a CVA state space representations as an aid to cell scale-up and scale-down.
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