Multiobjective parameter estimation for non-linear systems: affine information and least-squares formulation

DOI10.1080/00207170601185053zbMath1124.93059OpenAlexW2166513839WikidataQ58033841 ScholiaQ58033841MaRDI QIDQ5758312

Erivelton Geraldo Nepomuceno, Ricardo H. C. Takahashi, Luis Antonio Aguirre

Publication date: 3 September 2007

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

Full work available at URL: https://doi.org/10.1080/00207170601185053

zbMATH Keywords

multiobjective methodology for parameter estimation system identificationsingle weighted quadratic cost functional

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Least squares and related methods for stochastic control systems (93E24) Identification in stochastic control theory (93E12)

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The use of synthetic input sequences in time series modeling

Cites Work

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• An identification algorithm for polynomial NARX models based on simulation error minimization
• NONLINEAR IDENTIFICATION USING PRIOR KNOWLEDGE OF FIXED POINTS: A MULTIOBJECTIVE APPROACH
• Improved structure selection for nonlinear models based on term clustering

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