✦ LIBER ✦

Parametric identification of systems with non-Gaussian excitation using measured response spectra

✍ Scribed by J.B. Roberts; M. Vasta

Publisher: Elsevier Science
Year: 2000
Tongue: English
Weight: 575 KB
Volume: 15
Category: Article
ISSN: 0266-8920
DOI: 10.1016/s0266-8920(99)00009-0

No coin nor oath required. For personal study only.

✦ Synopsis

The problem of estimating parameters in dynamic systems excited by stochastic processes is addressed. Attention is focused on situations where the response processes are measurable but the excitation processes are non-Gaussian, unmeasurable and known only in terms of parameterised stochastic process models. General techniques for simultaneously estimating system and excitation process parameters are developed, based on the use of both normal, second order spectra and higher order, trispectra. The method is validated through application to some simulated data, relating to an oscillator driven by two specific kinds of non-Gaussian stochastic excitation.

📜 SIMILAR VOLUMES

The response of two-degree-of-freedom sy

The response of two-degree-of-freedom systems with quadratic non-linearities to a parametric excitation

✍ A.H. Nayfeh 📂 Article 📅 1983 🏛 Elsevier Science 🌐 English ⚖ 746 KB

STOCHASTIC PARAMETER ESTIMATION OF NON-L

STOCHASTIC PARAMETER ESTIMATION OF NON-LINEAR SYSTEMS USING ONLY HIGHER ORDER SPECTRA OF THE MEASURED RESPONSE

✍ M. Vasta; J.B. Roberts 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 361 KB

Methods for using fourth order spectral quantities to estimate the unknown parameters in non-linear, randomly excited dynamic systems are developed. Attention is focused on the case where only the response is measurable and the excitation is unmeasurable and known only in terms of a stochastic proce