Truncation order and its effect in a class of nonlinear systems

Xingjian Jing

Research output: Journal article publicationJournal articleAcademic researchpeer-review

18 Citations (Scopus)


Fundamental results are established for truncation order and its effect in the Volterra class of nonlinear systems. These results provide a significant insight into the analytical relationships among truncation order, truncation error, and estimation error for the output spectra of nonlinear systems, and also lead to the development of novel methods for choosing the truncation order and excitation magnitudes for accurate determination of nonlinear frequency response components. These results should be important in the kernel estimation and frequency domain analysis of nonlinear systems on the basis of the Volterra series, structure and order selection of block-oriented nonlinear systems with polynomial nonlinearity. The results also provide a much improved version of the multi-level excitation method for system analysis and identification.
Original languageEnglish
Pages (from-to)2978-2985
Number of pages8
Issue number11
Publication statusPublished - 1 Nov 2012


  • Identification
  • Nonlinear analysis
  • Nonlinear output spectrum
  • Volterra series

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering


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