PARAMETRIC IDENTIFICATION OF NONLINEAR DYNAMIC SYSTEMS USING COMBINED LEVENBERG–MARQUARDT AND GENETIC ALGORITHM
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Publication:3074913
DOI10.1142/S0219455407002484zbMath1205.93035MaRDI QIDQ3074913
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Publication date: 10 February 2011
Published in: International Journal of Structural Stability and Dynamics (Search for Journal in Brave)
System identification (93B30) Adaptive control/observation systems (93C40) Estimation and detection in stochastic control theory (93E10)
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Cites Work
- Unnamed Item
- An intelligent parameter varying (IPV) approach for nonlinear system identification of base excited structures
- Parameter identification for improved viscoplastic model considering dynamic recrystallization
- Method of multiple scales and identification of nonlinear structuraldynamic systems
- Parametric identification of nonlinear dynamic systems
- System identification and control using genetic algorithms
- Parametric Identification of Nonlinear Structural Dynamic Systems Using Time Finite Element Method
- Identification of weakly non-linear systems using equivalent linearization
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