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A Comparison Study of Advanced Tracking Differentiator Design Techniques
Author(s) -
Hongwei Wang,
Heping Wang
Publication year - 2015
Publication title -
procedia engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.32
H-Index - 74
ISSN - 1877-7058
DOI - 10.1016/j.proeng.2014.12.634
Subject(s) - differentiator , robustness (evolution) , taylor series , control theory (sociology) , noise (video) , computer science , mathematics , mathematical analysis , artificial intelligence , telecommunications , bandwidth (computing) , biochemistry , chemistry , control (management) , image (mathematics) , gene
This paper presents a comparison study of four advanced tracking differentiators, including global robustexact differentiator, hybrid continuous nonlineardifferentiator, robust exact uniformly convergent arbitrary order differentiator and Taylor expansion series based differentiator. The numerical simulations are performed by three typical signals with different type of noise to illustrate the performanceof tracking differentiation, sensibility to noise and robustness ability. The results show that, over all, these differentiators could track derivate signal of low frequencysignal well and Taylor expansion seriesbased differentiatoris more sensitive to noise than other three differentiators

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