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The Hammerstein-Wiener model for identification of stochastic systems

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Publication:1778932
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DOI10.1023/A:1026095818180zbMath1078.93068OpenAlexW1570769696MaRDI QIDQ1778932

G. R. Bolkvadze

Publication date: 17 June 2005

Published in: Automation and Remote Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1026095818180


zbMATH Keywords

adaptive trackingNewton-Raphson recursive methodsingular decomposition method


Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) 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 (1)

Extended stochastic gradient identification algorithms for Hammerstein-Wiener ARMAX systems







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