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

Abstract

Design of wideband infinite impulse response (IIR) digital fractional order integrators (DFOIs) based on abio-inspired metaheuristic optimization approach called the cat swarm optimization (CSO) algorithm is presented inthis paper. To investigate the efficiency of the proposed approach, the CSO-based DFOIs are evaluated against those ofthe 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 thebetter frequency response of the CSO-based DFOIs in comparison with the competing designs. Both parametric andnonparametric statistical hypothesis tests validate the performance consistency of CSO. Comparisons with the citedliterature confirm the efficacy of the proposed models.