Series expansion approach to the analysis and identification of discrete Hammerstein systems

DOI10.1080/00207178808906150zbMath0642.93021OpenAlexW1990839286MaRDI QIDQ3783892

Hwang, Chyi, Kuo-Kai Shyu

Publication date: 1988

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207178808906150

zbMATH Keywords

least-squares methodparameter identificationanalysisHammerstein modeldiscrete Legendre orthogonal polynomialsdiscrete non-linear systemfinite-series expansion

Mathematics Subject Classification ID

System identification (93B30) Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Orthogonal polynomials and functions of hypergeometric type (Jacobi, Laguerre, Hermite, Askey scheme, etc.) (33C45) Discrete operational calculus (44A55)

Related Items (2)

Orthogonal functions approach to the analysis of discrete-time systems is unnecessary ⋮ Identification of a class of nonlinear continuous-time systems using Hartley modulating functions

Cites Work

• Unnamed Item
• Identification of discrete Hammerstein systems using kernel regression estimates
• The shifted Legend re approach to non-linear system analysis and identification
• Instrumental-variable methods for identification of Hammerstein systems
• Discrete (Legendre) orthogonal polynomials-a survey
• An iterative method for the identification of nonlinear systems using a Uryson model

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