๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Estimation of generalized frequency response functions for quadratically and cubically nonlinear systems

โœ Scribed by L.M. Li; S.A. Billings


Publisher
Elsevier Science
Year
2011
Tongue
English
Weight
231 KB
Volume
330
Category
Article
ISSN
0022-460X

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


A modified H2 algorithm for improved fre
โœ Muhammad Haroon; Douglas E. Adams ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 910 KB

H 1 , H 2 and H v are the most commonly used algorithms for frequency response function estimation. H 1 and H v can be defined for multiple input-multiple output systems, whereas the H 2 estimator requires that the number of inputs equals the number of outputs for a unique solution. Otherwise, a non

ANALYSIS OF THE FREQUENCY RESPONSE FUNCT
โœ DONG-HYUN KIM; KYOUNG-UK NAM; YANG-HANN KIM ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 232 KB

We have attempted to express the frequency response functions of a linear and a quadratic non-linear system in terms of spectral vectors. These vector notations convey the system characteristics in physically realisable measures. One of the valuable tools to verify the non-linear system features is

Analysis of the maximum likelihood, tota
โœ P.R. White; M.H. Tan; J.K. Hammond ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 269 KB

This paper considers the problem of estimation frequency response functions (FRFs) for a single-input single-output (SISO) system in the presence of additive noise on both input and output measurements. It demonstrates that principle component analysis (PCA) can be employed to solve such problems an