2004
DOI: 10.1016/s0888-3270(03)00078-5
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System identification using associated linear equations

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Cited by 29 publications
(15 citation statements)
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“…In [14] the parameter estimation is accomplished using a simple circle-fitting (based on the Nyquist plot of the mobility). The modal constant is obtained from the circle diameter D as…”
Section: Parameter Estimation Of a Structural Duffing Oscillator Withmentioning
confidence: 99%
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“…In [14] the parameter estimation is accomplished using a simple circle-fitting (based on the Nyquist plot of the mobility). The modal constant is obtained from the circle diameter D as…”
Section: Parameter Estimation Of a Structural Duffing Oscillator Withmentioning
confidence: 99%
“…This implies that the diameter should also be affected by k 3 in order to keep A constant. From (14) and (22), it is to be expected that the diameter D changes as the ratio of the apparent natural frequencies:…”
Section: Parameter Estimation Of a Structural Duffing Oscillator Withmentioning
confidence: 99%
See 1 more Smart Citation
“…Similarly, for nonlinear system which can be described by the polynomial type nonlinear model (28), when the system subjected to a harmonic input and the driving frequency F ω coincides with one of the resonant frequencies of a NOFRF of the system, the magnitude of this NOFRF will reach a maximum (resonance) at a high order harmonic of F ω .…”
Section: Physical Implication Of the Resonant Frequencies Of Nofrfsmentioning
confidence: 99%
“…However, from Equation (1.3) it can be seen that a GFRF is multidimensional [7] [8], and may become difficult to measure, display and interpret in practice. Feijoo, Worden and Stanway [11]- [12] demonstrated that the Volterra series can be described by a series of associated linear equations (ALEs) whose corresponding associated frequency response functions (AFRFs) are easier to analyze and interpret than the GFRFs. According to Equation (1.4), the NOFRF is that it is one dimensional, and thus allows the analysis of nonlinear systems to be implemented in a convenient manner similar to the analysis of linear systems.…”
Section: The Concept Of Nonlinear Output Frequency Response Functionsmentioning
confidence: 99%