Adaptive tracking and recursive identification for Hammerstein systems

DOI10.1016/j.automatica.2009.09.009zbMath1192.93124OpenAlexW2165628062MaRDI QIDQ976214

Wen-Xiao Zhao, Chen, Hanfu

Publication date: 17 June 2010

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2009.09.009

zbMATH Keywords

recursive identificationoptimalityHammerstein systemstrong consistencyweighted least squaresadaptive tracking

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Least squares and related methods for stochastic control systems (93E24) Identification in stochastic control theory (93E12)

Related Items

A novel APSO-aided weighted LSSVM method for nonlinear Hammerstein system identification ⋮ Robust adaptive control of Hammerstein nonlinear systems and its application to typical CSTR problems ⋮ Convergence of normalized iterative identification of Hammerstein systems ⋮ Pseudo-predictor feedback stabilization of linear systems with time-varying input delays ⋮ A nonlinear recursive instrumental variables identification method of Hammerstein ARMAX system ⋮ Bias compensation principle based recursive least squares identification method for Hammerstein nonlinear systems ⋮ System identification of Hammerstein models by using backward shift algorithm ⋮ Adaptive control of stochastic Hammerstein–Wiener nonlinear systems with measurement noise ⋮ Recursive maximum likelihood method for the identification of Hammerstein ARMAX system ⋮ Adaptive control of Hammerstein–Wiener nonlinear systems ⋮ Convergence of fixed-point iteration for the identification of Hammerstein and Wiener systems

Cites Work

• Unnamed Item
• The identification of nonlinear biological systems: Wiener and Hammerstein Cascade models
• An optimal two-stage identification algorithm for Hammerstein-Wiener nonlinear systems
• Identification and stochastic adaptive control
• Self-tuning controllers for nonlinear systems
• Stochastic approximation and its applications
• An integrating linearization method for Hammerstein models
• Instrumental-variable methods for identification of Hammerstein systems
• Adaptive control of a stochastic non‐linear system: An example
• Weighted Estimation and Tracking for ARMAX Models
• Self-convergence of weighted least-squares with applications to stochastic adaptive control
• Stochastic approximation in nonparametric identification of Hammerstein systems
• Pathwise Convergence of Recursive Identification Algorithms for Hammerstein Systems
• Convergence of the Iterative Hammerstein System Identification Algorithm
• Strong consistency of recursive identification for Hammerstein systems with discontinuous piecewise-linear memoryless block
• Recursive Identification for Hammerstein System With ARX Subsystem
• Adaptive Regulator for Hammerstein and Wiener Systems With Noisy Observations
• System identification based on Hammerstein model