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

Authors

SHIBENDU MAHATA
SUMAN KUMAR SAHA
RAJIB KAR
DURBADAL MANDAL

DOI

10.3906/elk-1606-480

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.

Keywords

Signal processing, digital fractional order integrators, cat swarm optimization, metaheuristic optimization, statistical tests

First Page

856

Last Page

866

Recommended Citation

MAHATA, SHIBENDU; SAHA, SUMAN KUMAR; KAR, RAJIB; and MANDAL, DURBADAL (2018) "Improved IIR-type fractional order digital integrators using cat swarm optimization," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 26: No. 2, Article 19. https://doi.org/10.3906/elk-1606-480
Available at: https://journals.tubitak.gov.tr/elektrik/vol26/iss2/19