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

Authors : Shibendu MAHATA, Suman Kumar SAHA, Rajib KAR, Durbadal MANDAL

Pages : 856-866

View : 15 | Download : 11

Publication Date : 0000-00-00

Article Type : Research Paper

Abstract :Design of wideband infinite impulse response insert ignore into journalissuearticles values(IIR); digital fractional order integrators insert ignore into journalissuearticles values(DFOIs); based on a bio-inspired metaheuristic optimization approach called the cat swarm optimization insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(RGA);, standard particle swarm optimization insert ignore into journalissuearticles values(PSO);, and differential evolution insert ignore into journalissuearticles values(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