NDLI: Improved IIR-type fractional order digital integrators using cat swarm optimization

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Improved IIR-type fractional order digital integrators using cat swarm optimization

Content Provider	Paperity
Author	Mandal, Durbadal Saha, Suman Kumar Kar, Rajib Mahata, Shibendu
Abstract	Design of wideband infinite impulse response (IIR) digital fractional order integrators (DFOIs) based on a bio-inspired metaheuristic optimization approach called the cat swarm optimization (CSO) algorithm is presented in this paper. To investigate the efficiency of the proposed approach, the CSO-based DFOIs are evaluated against those of the approximations designed using real-coded genetic algorithm (RGA), standard particle swarm optimization (PSO), and differential evolution (DE) by different magnitude and phase response error metrics. Simulation results reveal the better frequency response of the CSO-based DFOIs in comparison with the competing designs. Both parametric and nonparametric statistical hypothesis tests validate the performance consistency of CSO. Comparisons with the cited literature confirm the efficacy of the proposed models.
Starting Page	856
Ending Page	866
File Format	HTM / HTML
ISSN	13000632
Issue Number	26
Journal	Turkish Journal of Electrical Engineering and Computer Science
Volume Number	2
e-ISSN	13036203
Language	English
Publisher Date	2018-04-01
Access Restriction	Open
Subject Keyword	Signal processing Cat swarm optimization Metaheuristic optimization Statistical tests Digital fractional order integrators
Content Type	Text
Resource Type	Article
Subject	Computer Science Electrical and Electronic Engineering

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