Recursive methods for estimating the radial basis function‐based state‐dependent autoregressive model

DOI10.1002/RNC.4890zbMath1465.93150OpenAlexW3001729125WikidataQ126301056 ScholiaQ126301056MaRDI QIDQ4990449

Yihong Zhou, Feng Ding, Tasawar Hayat, Yan Ji

Publication date: 28 May 2021

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.4890

zbMATH Keywords

parameter estimationnonlinear time seriesmulti-innovation identificationRBF-AR modelrecursive search

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Time-scale analysis and singular perturbations in control/observation systems (93C70)

Related Items (3)

Parameter estimation for a class of radial basis function-based nonlinear time-series models with moving average noises ⋮ Parameter identification of a nonlinear radial basis function‐based state‐dependent autoregressive network with autoregressive noise via the filtering technique and the multiinnovation theory ⋮ Kernel‐based regularization least squares algorithm for nonlinear time‐delayed systems using self‐organizing maps

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