2005
DOI: 10.1016/j.ymssp.2004.03.003
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Associated Linear Equations for Volterra operators

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Cited by 39 publications
(22 citation statements)
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“…Eq. 7 can be expanded in Volterra series, by resorting to associated linear equations (ALEs) [15], the first of which is the equation of motion of the underlying linear system; having posed the Wen parameter n=1, the best cubic polynomial was found to contain only the r x 2 and 2 r x terms, hence: A proper choice for the order of the Volterra series expansion has the advantage of suppressing distortions due to measurement or integration; in this case the order 7 was found to be sufficient to adequately approximate the system response. Fig.…”
Section: Numerical Examplementioning
confidence: 99%
“…Eq. 7 can be expanded in Volterra series, by resorting to associated linear equations (ALEs) [15], the first of which is the equation of motion of the underlying linear system; having posed the Wen parameter n=1, the best cubic polynomial was found to contain only the r x 2 and 2 r x terms, hence: A proper choice for the order of the Volterra series expansion has the advantage of suppressing distortions due to measurement or integration; in this case the order 7 was found to be sufficient to adequately approximate the system response. Fig.…”
Section: Numerical Examplementioning
confidence: 99%
“…The method is based on the harmonic probing method (14), (15) . In the proposed method, it is assumed that the nonlinear system to be identified is a nonlinear vibration system shown in Fig.1.…”
Section: Nonlinear Parameter Estimation From Volterra Kernelsmentioning
confidence: 99%
“…In order to solve this problem, we estimate parameters which represent the nonlinear characteristics of the system from the Volterra kernels identified by the M-sequence correlation method. The estimation method is based on the harmonic probing method (14), (15) and nonlinear parameters are calculated from high-order…”
Section: Introductionmentioning
confidence: 99%
“…However, from Equation (5) it can be seen that the GFRF is multidimensional [19] [20], which makes it difficult to measure, display and interpret the GFRFs in practice. Feijoo, Worden and Stanway [27]- [29] 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 (6), the NOFRF )…”
Section: Nofrfs Under General Inputsmentioning
confidence: 99%