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Open AccessJournal ArticleDOI

An investigation into the characteristics of non-linear frequency response functions. Part 1: Understanding the higher dimensional frequency spaces

R. Yue, +2 more
- 10 Sep 2005 - 
- Vol. 78, Iss: 13, pp 1031-1044
TLDR
In this paper, the characteristics of generalized frequency response functions (GFRFs) of non-linear systems in higher dimensional space are investigated using a combination of graphical and symbolic decomposition techniques.
Abstract
The characteristics of generalized frequency response functions (GFRFs) of non-linear systems in higher dimensional space are investigated using a combination of graphical and symbolic decomposition techniques It is shown how a systematic analysis can be achieved for a wide class of non-linear systems in the frequency domain using the proposed methods The paper is divided into two parts In Part 1, the concepts of input and output frequency subdomains are introduced to give insight into the relationship between one dimensional and multi-dimensional frequency spaces The visualization of both magnitude and phase responses of third order generalized frequency response functions is presented for the first time In Part 2 symbolic expansion techniques are introduced and new methods are developed to analyse the properties of generalized frequency response functions of non-linear systems described by the NARMAX class of models Case studies are included in Part 2 to illustrate the application of the new methods

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Volterra-series-based nonlinear system modeling and its engineering applications: A state-of-the-art review

TL;DR: In this paper, the basic definition of the Volterra series is recapitulated, together with some frequency domain concepts derived from the VOLTERRA series, including the general frequency response function (GFRF), the nonlinear output frequency response functions (NOFRF) and associated frequency response (AFRF), and a detailed review is then given on the applications of Volterras in mechanical engineering, aeroelasticity problem, control engineering, electronic and electrical engineering.
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Nonlinear Characteristic Output Spectrum for Nonlinear Analysis and Design

TL;DR: In this paper, a nonlinear characteristic output spectrum (nCOS) function is proposed for nonlinear analysis, design, and estimation in the frequency domain using a new concept.
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Fault diagnosis approach based on Volterra models

TL;DR: A modeling fault diagnostic approach based on Volterra series for rotating machinery is presented and the laboratory experimental results verify its effectiveness.
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The parametric characteristic of frequency response functions for nonlinear systems

TL;DR: In this article, the parametric characteristics of the frequency response functions of nonlinear systems are analyzed using a new operator, and several fundamental and important results about the frequency domain characteristics of these functions are developed.
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Output frequency response function-based analysis for nonlinear Volterra systems

TL;DR: In this article, a frequency domain analysis of nonlinear systems based on some recently developed results is proposed for the analysis and design of system output frequency response in terms of system time domain model parameters.
References
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Book

The Volterra and Wiener Theories of Nonlinear Systems

TL;DR: In this article, a complete and detailed development of the analysis, design and characterization of non-linear systems using the Volterra and Wiener theories, as well as gate functions, is presented.
Journal ArticleDOI

Fading memory and the problem of approximating nonlinear operators with Volterra series

TL;DR: In this article, it was shown that any time-invariant continuous nonlinear operator with fading memory can be approximated by a Volterra series operator, and that the approximating operator can be realized as a finite-dimensional linear dynamical system with a nonlinear readout map.
Journal ArticleDOI

The output properties of Volterra systems (nonlinear systems with memory) driven by harmonic and Gaussian inputs

TL;DR: Results, both old and new, which will aid the reader in applying Volterra-series-type analyses to systems driven by sine waves or Gaussian noise are presented.
Journal ArticleDOI

Analysis of nonlinear systems with multiple inputs

TL;DR: Analytical modeling of communication receivers to account for their nonlinear response to multiple input signals is discussed, based on the application of the Wiener-Volterra analysis of nonlinear functionals.
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