Parametric Identification of Nonlinear Systems Using Chaotic Excitation
2007 ◽
Vol 2
(3)
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pp. 225-231
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Keyword(s):
The use of a time series, which is the chaotic response of a nonlinear system, as an excitation for the parametric identification of single-degree-of-freedom nonlinear systems is explored in this paper. It is assumed that the system response consists of several unstable periodic orbits, similar to the input, and hence a Fourier series based technique is used to extract these nearly periodic orbits. Criteria to extract these orbits are developed and a least-squares problem for the identification of system parameters is formulated and solved. The effectiveness of this method is illustrated on a system with quadratic damping and a system with Duffing nonlinearity.
2021 ◽
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pp. 291-305
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1991 ◽
Vol 113
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pp. 132-140
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2019 ◽
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pp. 093125
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1985 ◽
Vol 107
(2)
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2011 ◽
Vol 32
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pp. 1389-1398
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