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An intelligent parameter varying (IPV) approach for nonlinear system identification of base excited structures

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Publication:873366
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DOI10.1016/S0020-7462(03)00091-XzbMath1141.93349OpenAlexW2002546840WikidataQ57447478 ScholiaQ57447478MaRDI QIDQ873366

Gregory D. Buckner, Tadatoshi Furukawa, Mohammad Noori, Soheil Saadat

Publication date: 29 March 2007

Published in: International Journal of Non-Linear Mechanics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0020-7462(03)00091-x


zbMATH Keywords

Nonlinear systemsSystem identificationHysteresisArtifical neural networksHealth monitoring


Mathematics Subject Classification ID

System identification (93B30) Nonlinear systems in control theory (93C10)


Related Items (2)

On-line identification of multidimensional parametric vector random variation of pulse system ⋮ PARAMETRIC IDENTIFICATION OF NONLINEAR DYNAMIC SYSTEMS USING COMBINED LEVENBERG–MARQUARDT AND GENETIC ALGORITHM







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