Recursive system identification by stochastic approximation

DOI10.4310/CIS.2006.V6.N4.A1zbMATH Open1132.93348MaRDI QIDQ2474724

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Publication date: 6 March 2008

Published in: Communications in Information and Systems (Search for Journal in Brave)

zbMATH Keywords

system identificationstochastic approximationrecursive algorithmHammerstein systemstrong consistencyWiener systemerrors-in-variables (EIV)

Mathematics Subject Classification ID

Identification in stochastic control theory (93E12)

Related Items (6)

Recursive Identification and Adaptive Prediction in Linear Stochastic Systems ⋮ Recursive Bayesian algorithm with covariance resetting for identification of Box-Jenkins systems with non-uniformly sampled input data ⋮ Discrete variable stochastic approximation procedures and recursive autoregressive model identification ⋮ Recursive system identification in the presence of noise and model uncertainties ⋮ Recursive estimation in piecewise affine systems using parameter identifiers and concurrent learning ⋮ Recursive identification algorithms for continuous systems using an adaptive procedure

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