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Rational Implementation of Fractional Calculus Operator Based on Quadratic Programming
Author(s) -
Zhisong Xu,
Mingqiu Li
Publication year - 2021
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2021/6646718
Subject(s) - rational function , fractional calculus , mathematics , operator (biology) , approximation error , fractional programming , robustness (evolution) , function approximation , spouge's approximation , quadratic equation , function (biology) , quadratic programming , mathematical optimization , calculus (dental) , mathematical analysis , computer science , nonlinear programming , artificial intelligence , dentistry , repressor , chemistry , biology , biochemistry , geometry , quantum mechanics , evolutionary biology , artificial neural network , transcription factor , medicine , physics , nonlinear system , gene
When fractional calculus operators and models are implemented rationally, there exist some problems such as low approximation accuracy of rational approximation function, inability to specify arbitrary approximation frequency band, or poor robustness. Based on the error criterion of the least squares method, a quadratic programming method based on the frequency-domain error is proposed. In this method, the frequency-domain error minimization between the fractional operator s ± r and its rational approximation function is transformed into a quadratic programming problem. The results show that the construction method of the optimal rational approximation function of fractional calculus operator is effective, and the optimal rational approximation function constructed can effectively approximate the fractional calculus operator and model for the specified approximation frequency band.

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