Parameters estimation for the Hammerstein-Wiener models with colored noise based on hybrid signals

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

Cites Work

Data-driven predictive control of Hammerstein-Wiener systems based on subspace identification
A blind approach to the Hammerstein-Wiener model identification
An interactive maximum likelihood estimation method for multivariable Hammerstein systems
A recursive parametric estimation algorithm of multivariable nonlinear systems described by Hammerstein mathematical models
Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems
Blind maximum likelihood identification of Hammerstein systems
Combined state and parameter estimation for Hammerstein systems with time delay using the Kalman filtering
Parameter tracking of time-varying Hammerstein-Wiener systems
Identification of Hammerstein–Wiener models with hysteresis front nonlinearities
Fixed point iteration‐based subspace identification of Hammerstein state‐space models
Maximum likelihood gradient identification for multivariate equation‐error moving average systems using the multi‐innovation theory
Decomposition‐based over‐parameterization forgetting factor stochastic gradient algorithm for Hammerstein‐Wiener nonlinear systems with non‐uniform sampling
Gradient-based recursive parameter estimation for a periodically nonuniformly sampled-data Hammerstein-Wiener system based on the key-term separation
Hierarchical recursive least squares algorithms for Hammerstein nonlinear autoregressive output-error systems
Identification of series-parallel systems composed of linear and nonlinear blocks
Parameter learning for the nonlinear system described by Hammerstein model with output disturbance

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