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Tensor networks for MIMO LPV system identification
2018
International Journal of Control
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 networks. These representations circumvent the 'curse-of-dimensionality' as they inherit the properties of tensor trains. The proposed algorithm is
doi:10.1080/00207179.2018.1501515
fatcat:jwqlbnodendlbepyzn37ficaoe