2008
DOI: 10.1299/jsdd.2.209
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Identification of Nonlinear Parameters by Using M-sequence and Harmonic Probing Method

Abstract: Many classes of nonlinear systems can be represented by Volterra kernels. The authors have recently developed a method for identification of Volterra kernels of nonlinear systems by using M-sequence and correlation technique. In this paper, the authors propose a new method for identification of nonlinear mechanical systems by use of Volterra kernels. The nonlinear mechanical systems are approximated to a nonlinear vibrating system which consists of a mass, a dumper, a linear spring and nonlinear and springs. T… Show more

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Cited by 2 publications
(1 citation statement)
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“…The cross‐correlation between the output yfalse(tfalse) and input ufalse(tfalse) can be expressed using (5) as [21] Ryufalse(τfalse)=ufalse(tτfalse)yfalse(tfalse)¯,where AAA¯ means time ( t ) average over one period ( T ) of the signal. When considering the system described by (21), the cross‐correlation becomes right left right left right left right left right left right left0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em3ptRyu(τ)=u(tτ)y(t)false¯=u(tτ)0Tg1(τ1)u(tτ1)normaldτ1false¯=0Tg1(τ1)u(tτ)u(tτ1)false¯normaldτ1=0Tg1(τ1)u(t)u(tτ1+τ)false¯normaldτ1=0Tg1(τ1)Ruu(τ1…”
Section: Basic Principle Of Operationmentioning
confidence: 99%
“…The cross‐correlation between the output yfalse(tfalse) and input ufalse(tfalse) can be expressed using (5) as [21] Ryufalse(τfalse)=ufalse(tτfalse)yfalse(tfalse)¯,where AAA¯ means time ( t ) average over one period ( T ) of the signal. When considering the system described by (21), the cross‐correlation becomes right left right left right left right left right left right left0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em3ptRyu(τ)=u(tτ)y(t)false¯=u(tτ)0Tg1(τ1)u(tτ1)normaldτ1false¯=0Tg1(τ1)u(tτ)u(tτ1)false¯normaldτ1=0Tg1(τ1)u(t)u(tτ1+τ)false¯normaldτ1=0Tg1(τ1)Ruu(τ1…”
Section: Basic Principle Of Operationmentioning
confidence: 99%