Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/32681
Title: Nonlinear characteristic output spectrum for nonlinear analysis and design
Authors: Jing, X 
Keywords: Frequency domain
Nonlinear output spectrum
Nonlinear systems
Signal processing
Vehicle suspension system
Issue Date: 2014
Publisher: IEEE-Inst Electrical Electronics Engineers Inc
Source: IEEE/asme transactions on mechatronics, 2014, v. 19, no. 1, 6359949, p. 171-183 How to cite?
Journal: IEEE/ASME Transactions on Mechatronics 
Abstract: A systematic method for nonlinear analysis, design, and estimation in the frequency domain is proposed in this study using a new concept-nonlinear characteristic output spectrum (nCOS). The nCOS function is an analytical and explicit expression for the relationship between nonlinear output spectrum and system characteristic parameters of interest (including frequency, nonlinear parameters, and excitation magnitude), and can provide a significant insight into nonlinear analysis and design in the frequency domain. Given some simulation or experimental output data of a nonlinear system, the nCOS function of the system can be accurately determined up to any high nonlinear orders with less simulation trials and computation cost compared with a pure simulation-based study or traditional theoretical computations. Moreover, the method can also be used to accurately determine the linear and nonlinear components in the nonlinear output frequency response (or an output spectrum) of a nonlinear system. These results are definitely of significance to nonlinear analysis and design, nonlinear signal processing, system identification, fault detection, etc., in practice. Examples and case studies including analysis of a nonlinear vehicle suspension system are given to illustrate the results.
URI: http://hdl.handle.net/10397/32681
ISSN: 1083-4435
DOI: 10.1109/TMECH.2012.2227062
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

16
Last Week
0
Last month
1
Citations as of Aug 17, 2017

WEB OF SCIENCETM
Citations

17
Last Week
0
Last month
1
Citations as of Aug 4, 2017

Page view(s)

27
Last Week
0
Last month
Checked on Aug 21, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.