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A GL(n,R) Differential Algebraic Equation Method for Numerical Differentiation of Noisy Signal

Chein-Shan Liu1, Satya N. Atluri2

Department of Civil Engineering, National Taiwan University, Taipei, Taiwan.
E-mail: liucs@ntu.edu.tw
Center for Aerospace Research & Education, University of California, Irvine.

Computer Modeling in Engineering & Sciences 2013, 92(2), 213-239. https://doi.org/10.3970/cmes.2013.092.213

Abstract

We show that the problem "real-time numerical differentiation" of a given noisy signal in time, by supplementing a compensated controller in the second-order robust exact differentiator, the tracking differentiator or the continuous hybrid differentiator, can be viewed as a set of differential algebraic equations (DAEs) to enhance a precise tracking of the given noisy signal. Thus, we are able to solve the highly ill-posed problem of numerical differentiation of noisy signal by using the Lie-group differential algebraic differentiators (LGDADs) based on the Lie-group GL(n,R), whose accuracy and tracking performance are better than before. The "index-two" differentiators (ITDs), which do not need any parameter in the governing equations, can efficiently depress the chattering, and also improve the dynamical performance under noise. The tracking results obtained by the LGDADs and the ITDs are quite promising.

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Cite This Article

Liu, C., Atluri, S. N. (2013). A GL(n,R) Differential Algebraic Equation Method for Numerical Differentiation of Noisy Signal. CMES-Computer Modeling in Engineering & Sciences, 92(2), 213–239.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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