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Identification of Dynamic Models in Complex Networks With Prediction Error Methods: Predictor Input Selection.

, , , and . IEEE Trans. Automat. Contr., 61 (4): 937-952 (2016)

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On the Discretization of Linear Fractional Representations of LPV Systems., , , , and . IEEE Trans. Contr. Sys. Techn., 20 (6): 1473-1489 (2012)Extended Ho-Kalman algorithm for systems represented in generalized orthonormal bases., , , and . Autom., 36 (12): 1809-1818 (2000)A generalized orthonormal basis for linear dynamical systems., , and . IEEE Trans. Autom. Control., 40 (3): 451-465 (1995)Orthonormal basis selection for LPV system identification, the Fuzzy-Kolmogorov c-Max approach., , and . CDC, page 2529-2534. IEEE, (2006)Flexible model structures for LPV identification with static scheduling dependency., , and . CDC, page 4522-4527. IEEE, (2008)Order and structural dependence selection of LPV-ARX models using a nonnegative garrote approach., , , , and . CDC, page 7406-7411. IEEE, (2009)A behavioral approach to LPV systems., , , and . ECC, page 2015-2020. IEEE, (2009)Approximation and realization using generalized orthonormal bases., , and . ECC, page 4680-4685. IEEE, (1999)Predictor input selection for two stage identification in dynamic networks., , , and . ECC, page 1422-1427. IEEE, (2013)Errors-in-variables identification in dynamic networks - Consistency results for an instrumental variable approach., , , and . Autom., (2015)