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Identification of Nonlinear Block-Oriented Systems starting from Linear Approximations: A Survey.

, and . CoRR, (2016)

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Identifying a Wiener system using a variant of the Wiener G-Functionals., and . CDC-ECE, page 5780-5785. IEEE, (2011)Structure Discrimination in Block-Oriented Models Using Linear Approximations: A Theoretic Framework., , , , , , , and . CoRR, (2018)A Local Polynomial Approach to Nonparametric Estimation of the Best Linear Approximation of Lithium-Ion Battery From Multiple Datasets., , , and . IEEE Control. Syst. Lett., 1 (1): 182-187 (2017)Incorporating Best Linear Approximation within LS-SVM-based Hammerstein System Identification., , , and . CDC, page 7392-7397. IEEE, (2015)Data driven discrete-time parsimonious identification of a nonlinear state-space model for a weakly nonlinear system with short data record., , , , and . CoRR, (2018)Initial estimates for Wiener-Hammerstein models using phase-coupled multisines., , and . CoRR, (2016)System identification in a real world., , , , , , , , and . AMC, page 1-9. IEEE, (2014)Structure discrimination in block-oriented models using linear approximations: A theoretic framework., , , , , , , and . Automatica, (2015)From coupled to decoupled polynomial representations in parallel Wiener-Hammerstein models., and . CDC, page 4937-4942. IEEE, (2013)Sampled-data adaptive observer for state-affine systems with uncertain output equation., , , and . Automatica, (2019)