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Refined instrumental variable methods for identifying hammerstein models operating in closed loop.

, , and . CDC, page 3614-3619. IEEE, (2009)

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Instrumental variable scheme for closed-loop LPV model identification., , , and . Autom., 48 (9): 2314-2320 (2012)Identification of LPV partial differential equation models., , , and . CDC, page 4547-4552. IEEE, (2013)Simultaneous Detectability of Process and Sensor Faults: Application to Water Distribution Networks., , , and . CoRR, (2020)Refined instrumental variable methods for identification of LPV Box-Jenkins models., , , and . Autom., 46 (6): 959-967 (2010)Shrinking complexity of scheduling dependencies in LS-SVM based LPV system identification., , , and . CDC, page 2561-2566. IEEE, (2014)Introducing instrumental variables in the LS-SVM based identification framework., , and . CDC/ECC, page 3198-3203. IEEE, (2011)Model structure learning: A support vector machine approach for LPV linear-regression models., , , and . CDC/ECC, page 3192-3197. IEEE, (2011)An RKHS approach to systematic kernel selection in nonlinear system identification., , and . CDC, page 3898-3903. IEEE, (2016)Contrast Enhancement for Hypoechoic Lesions., and . EMBC, page 3333-3336. IEEE, (2006)Wiener system identification by weighted principal component analysis., and . ECC, page 1705-1710. IEEE, (2014)