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Refined IV-based method for LPV partial differential equation model identification.

, , , and . ECC, page 2127-2132. IEEE, (2014)

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Regularized Switched System Identification: a Statistical Learning Perspective., , and . ADHS, volume 54 of IFAC-PapersOnLine, page 55-60. Elsevier, (2021)Instrumental variable methods for continuous-time model identification in closed-loop., , and . ACC, page 2846-2851. IEEE, (2004)An RKHS approach to systematic kernel selection in nonlinear system identification., , and . CDC, page 3898-3903. IEEE, (2016)Parameter and time-delay identification of continuous-time models from non-uniformly sampled data., , and . CDC, page 1792-1797. IEEE, (2014)Robust time-domain output error method for identifying continuous-time systems with time delay., , , and . Syst. Control. Lett., (2017)Refined IV-based method for LPV partial differential equation model identification., , , and . ECC, page 2127-2132. IEEE, (2014)Identification of LPV output-error and Box-Jenkins models via optimal refined instrumental variable methods., , , and . ACC, page 3865-3870. IEEE, (2010)Direct identification of continuous-time LPV models., , , and . ACC, page 159-164. IEEE, (2011)Continuous-time model identification from noisy input/output measurements using fourth-order cumulants., , , and . CDC, page 4257-4262. IEEE, (2007)Refined instrumental variable methods for identifying hammerstein models operating in closed loop., , and . CDC, page 3614-3619. IEEE, (2009)