Consistency of the robust recursive Hammerstein model identification algorithm

DOI10.1016/j.jfranklin.2015.02.005zbMath1395.93169OpenAlexW2030784590MaRDI QIDQ1660440

Vojislav Ž. Filipović

Publication date: 16 August 2018

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2015.02.005

zbMATH Keywords

Hammerstein model identification algorithmrobust recursive Hammerstein model

Mathematics Subject Classification ID

Related Items (13)

Outlier robust stochastic approximation algorithm for identification of MIMO Hammerstein models ⋮ Data filtering based forgetting factor stochastic gradient algorithm for Hammerstein systems with saturation and preload nonlinearities ⋮ Auxiliary model based multi-innovation stochastic gradient identification algorithm for periodically non-uniformly sampled-data Hammerstein systems ⋮ An auxiliary model based least squares algorithm for a dual-rate state space system with time-delay using the data filtering ⋮ Kernel recursive generalized mixed norm algorithm ⋮ Filtering-based multistage recursive identification algorithm for an input nonlinear output-error autoregressive system by using the key term separation technique ⋮ Coupled least squares identification algorithms for multivariate output-error systems ⋮ Maximum likelihood extended gradient‐based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity ⋮ Model equivalence-based identification algorithm for equation-error systems with colored noise ⋮ Bias compensation principle based recursive least squares identification method for Hammerstein nonlinear systems ⋮ Variational Bayesian-based iterative algorithm for ARX models with random missing outputs ⋮ Hierarchical recursive least squares parameter estimation of non-uniformly sampled Hammerstein nonlinear systems based on Kalman filter ⋮ Data filtering-based multi-innovation forgetting gradient algorithms for input nonlinear FIR-MA systems with piecewise-linear characteristics

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