Controller design oriented model identification method for Hammerstein system

Automatica

Volumn 29, Issue 3, 1993, Pages 767-771

  Zi Qiang, Lang ^a  

^a NORTHEASTERN UNIVERSITY   (China)

Author keywords

approximation theory; convergence analysis; Nonlinear systems; parameter estimation

Indexed keywords

APPROXIMATION THEORY; CONTROL SYSTEM SYNTHESIS; CONVERGENCE OF NUMERICAL METHODS; DESCRIBING FUNCTIONS; FUNCTION EVALUATION; IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; NUMERICAL ANALYSIS; PARAMETER ESTIMATION; POLYNOMIALS; REGRESSION ANALYSIS;

CONTROLLER DESIGN ORIENTED MODEL IDENTIFICATION METHOD; CONVERGENCE ANALYSIS; FUNCTIONS APPROXIMATION THEORY; HAMMERSTEIN SYSTEM; MEAN INTEGRATED SQUARE ERROR (MISE); PARAMETER ESTIMATION THEORY;

NONLINEAR CONTROL SYSTEMS;

EID: 0027594271     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/0005-1098(93)90072-2     Document Type: Article

References (17)

1. Self-tuning minimum-variance control of nonlinear systems of the Hammerstein model
2. Self-tuning pole placement in nonlinear systems of the Hammerstein model
3. Nonlinear system identification using the Hammerstein model
4. Parametrization issues in multivariable adaptive control
5. A comparison of two Hammerstein model identification algorithms
6. Identification of discrete Hammerstein systems using kernel regression estimates
7. Hammerstein systems identification by nonparametric regression estimation
8. Nonparametric Hammerstein system identification with Hermit polynomials
9. On identification of discrete Hammerstein systems by the Fourier series regression estimate
10. Stability of a discrete time adaptive control algorithm having a polynomial input
11. On the series expansion approach to the identification of Hammerstein systems
12. Instrumental-variable methods for identification of Hammerstein systems
13. Adaptive control weighted suboptimal control for linear dynamic systems having a polynomial input
14. Explicit self-tuning control for a class of nonlinear systems