Searched for: subject:"closed%5C-loop%5C+identification"
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document
Gunes, B. (author), van Wingerden, J.W. (author), Verhaegen, M.H.G. (author)
In this paper, we present a novel multiple input multiple output (MIMO) linear parameter varying (LPV) state-space refinement system identification algorithm that uses tensor networks. Its novelty mainly lies in representing the LPV sub-Markov parameters, data and state-revealing matrix condensely and in exact manner using specific tensor...
journal article 2018
document
Gunes, B. (author), van Wingerden, J.W. (author), Verhaegen, M.H.G. (author)
The major bottleneck in state-of-the-art Linear Parameter Varying (LPV) subspace methods is the curse-of-dimensionality during the first regression step. In this paper, the origin of the curse-of-dimensionality is pinpointed and subsequently a novel method is proposed which does not suffer from this bottleneck. The problem is related to the...
journal article 2017
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Mansoori, Mehdi (author), Dankers, Arne (author), van den Hof, P.M.J. (author), Jansen, J.D. (author), Rashtchian, Davood (author)
We present a novel method for estimating physical properties of an underground hydrocarbon reservoir, on the basis of generally measured wellbore ow rate and pressure signals at the bottom of a producing well. The method uses instrumental variable-based system identification techniques to solve for a closed-loop errors-in-variables problem....
conference paper 2015
document
Aling, H. (author)
doctoral thesis 1990
Searched for: subject:"closed%5C-loop%5C+identification"
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