Identification of Wiener systems based on the variable forgetting factor multierror stochastic gradient and the key term separation

Cites Work

A Mathematical Theory of Communication
Parameter estimation with scarce measurements
Instrumental variables approach to identification of a class of MIMO Wiener systems
Performance analysis of multi-innovation gradient type identification methods
Recusrsive prediction error identification using the nonlinear Wiener model
A hierarchical least squares identification algorithm for Hammerstein nonlinear systems using the key term separation
Iterative identification algorithm for Wiener nonlinear systems using the Newton method
A recursive parameter estimation algorithm for modeling signals with multi-frequencies
Hierarchical extended least squares estimation approaches for a multi-input multi-output stochastic system with colored noise from observation data
Recursive identification of bilinear time-delay systems through the redundant rule
Convergence analysis of recursive identification algorithms based on the nonlinear Wiener model
Maximum likelihood‐based gradient estimation for multivariable nonlinear systems using the multiinnovation identification theory
Two‐stage auxiliary model gradient‐based iterative algorithm for the input nonlinear controlled autoregressive system with variable‐gain nonlinearity
Parameter estimation for block‐oriented nonlinear systems using the key term separation
Separable multi‐innovation stochastic gradient estimation algorithm for the nonlinear dynamic responses of systems
Hierarchical Newton and least squares iterative estimation algorithm for dynamic systems by transfer functions based on the impulse responses
Hierarchical parameter and state estimation for bilinear systems
The innovation algorithms for multivariable state‐space models
Highly computationally efficient state filter based on the delta operator
Parameter identification of linear time‐invariant systems using dynamic regressor extension and mixing
Online and stable parameter estimation based on normalized brain emotional learning model (NBELM)
State estimation for bilinear systems through minimizing the covariance matrix of the state estimation errors
On Estimation of a Probability Density Function and Mode
State and parameter joint estimation of linear stochastic systems in presence of faults and <scp>non‐Gaussian</scp> noises
Three‐stage forgetting factor stochastic gradient parameter estimation methods for a class of nonlinear systems
Maximum likelihood extended gradient‐based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity
Adaptive optimization algorithm for nonlinear Markov jump systems with partial unknown dynamics
Robust identification for fault detection in the presence of non-Gaussian noises: application to hydraulic servo drives

This page was built for publication: Identification of Wiener systems based on the variable forgetting factor multierror stochastic gradient and the key term separation