Regularized nonparametric Volterra kernel estimation

DOI10.1016/J.AUTOMATICA.2017.04.014zbMath1372.93189arXiv1804.10435OpenAlexW2609124543MaRDI QIDQ2409165

Georgios Birpoutsoukis, Anna Marconato, John Lataire, Johan Schoukens

Publication date: 11 October 2017

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1804.10435

zbMATH Keywords

system identificationregularizationnonlinear systemsGaussian processesVolterra seriesnonparametric estimation

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12)

Related Items (13)

Adaptive regularised kernel-based identification method for large-scale systems with unknown order ⋮ Kernel-based methods for Volterra series identification ⋮ On semiseparable kernels and efficient implementation for regularized system identification and function estimation ⋮ Learning low-dimensional separable decompositions of MIMO non-linear systems ⋮ A regularised fast recursive algorithm for fraction model identification of nonlinear dynamic systems ⋮ Deep subspace encoders for nonlinear system identification ⋮ Nonparametric identification based on Gaussian process regression for distributed parameter systems ⋮ Nonlinear system identification for multivariable control via discrete-time Chen-Fliess series ⋮ Identification of Wiener-Hammerstein systems by \(\ell_1\)-constrained Volterra series ⋮ Gaussian process regression for the estimation of generalized frequency response functions ⋮ FRF estimation using multiple kernel-based regularisation ⋮ Phase-based order separation for Volterra series identification ⋮ Volterra series identification and its applications in structural identification of nonlinear block-oriented systems

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