Robust nonlinear system identification algorithm based on homotopy theory

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)1313-1316
Journal / PublicationProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume2
Publication statusPublished - 1997
Externally publishedYes

Conference

TitleProceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5)
CityOrlando, FL, USA
Period12 - 15 October 1997

Abstract

Based on the homotopy theory, this paper presents a robust nonlinear system identification algorithm. Theoretical analysis and experimental results show that, unlike the ordinary nonlinear system identification methods, the new method is more robust and easier to compute, has very good convergence property and compatibility with the traditional linear system identification.