Improved IIR-type fractional order digital integrators using cat swarm optimization
| Autor: | Shibendu Mahata, Suman Kumar Saha, Rajib Kar, Durbadal Mandal |
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| Rok vydání: | 2018 |
| Předmět: |
Signal processing
General Computer Science Metaheuristic optimization Computer science 0206 medical engineering Swarm behaviour 02 engineering and technology Type (model theory) 020601 biomedical engineering 03 medical and health sciences 0302 clinical medicine Control theory Order (business) Integrator Signal processing digital fractional order integrators cat swarm optimization metaheuristic optimization statistical tests Electrical and Electronic Engineering Infinite impulse response 030217 neurology & neurosurgery Statistical hypothesis testing |
| Zdroj: | Volume: 26, Issue: 2 856-866 Turkish Journal of Electrical Engineering and Computer Science |
| ISSN: | 1300-0632 1303-6203 |
| DOI: | 10.3906/elk-1606-480 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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