New Improved Fractional Order Differentiator Models Based on Optimized Digital Differentiators
Different evolutionary algorithms (EAs), namely, particle swarm optimization (PSO), genetic algorithm (GA), and PSO-GA hybrid optimization, have been used to optimize digital differential operators so that these can be better fitted to exemplify their new improved fractional order differentiator cou...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/741395 |
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| _version_ | 1849434724874846208 |
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| author | Maneesha Gupta Richa Yadav |
| author_facet | Maneesha Gupta Richa Yadav |
| author_sort | Maneesha Gupta |
| collection | DOAJ |
| description | Different evolutionary algorithms (EAs), namely, particle swarm optimization (PSO), genetic algorithm (GA), and PSO-GA hybrid optimization, have been used to optimize digital differential operators so that these can be better fitted to exemplify their new improved fractional order differentiator counterparts. First, the paper aims to provide efficient 2nd and 3rd order operators in connection with process of minimization of error fitness function by registering mean, median, and standard deviation values in different random iterations to ascertain the best results among them, using all the abovementioned EAs. Later, these optimized operators are discretized for half differentiator models for utilizing their restored qualities inhibited from their optimization. Simulation results present the comparisons of the proposed half differentiators with the existing and amongst different models based on 2nd and 3rd order optimized operators. Proposed half differentiators have been observed to approximate the ideal half differentiator and also outperform the existing ones reasonably well in complete range of Nyquist frequency. |
| format | Article |
| id | doaj-art-e3f9f79384344b49bedbb54b8d8c05f1 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-e3f9f79384344b49bedbb54b8d8c05f12025-08-20T03:26:33ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/741395741395New Improved Fractional Order Differentiator Models Based on Optimized Digital DifferentiatorsManeesha Gupta0Richa Yadav1Netaji Subhash Institute of Technology, Sector 3, Dwarka, New Delhi 110078, IndiaNetaji Subhash Institute of Technology, Sector 3, Dwarka, New Delhi 110078, IndiaDifferent evolutionary algorithms (EAs), namely, particle swarm optimization (PSO), genetic algorithm (GA), and PSO-GA hybrid optimization, have been used to optimize digital differential operators so that these can be better fitted to exemplify their new improved fractional order differentiator counterparts. First, the paper aims to provide efficient 2nd and 3rd order operators in connection with process of minimization of error fitness function by registering mean, median, and standard deviation values in different random iterations to ascertain the best results among them, using all the abovementioned EAs. Later, these optimized operators are discretized for half differentiator models for utilizing their restored qualities inhibited from their optimization. Simulation results present the comparisons of the proposed half differentiators with the existing and amongst different models based on 2nd and 3rd order optimized operators. Proposed half differentiators have been observed to approximate the ideal half differentiator and also outperform the existing ones reasonably well in complete range of Nyquist frequency.http://dx.doi.org/10.1155/2014/741395 |
| spellingShingle | Maneesha Gupta Richa Yadav New Improved Fractional Order Differentiator Models Based on Optimized Digital Differentiators The Scientific World Journal |
| title | New Improved Fractional Order Differentiator Models Based on Optimized Digital Differentiators |
| title_full | New Improved Fractional Order Differentiator Models Based on Optimized Digital Differentiators |
| title_fullStr | New Improved Fractional Order Differentiator Models Based on Optimized Digital Differentiators |
| title_full_unstemmed | New Improved Fractional Order Differentiator Models Based on Optimized Digital Differentiators |
| title_short | New Improved Fractional Order Differentiator Models Based on Optimized Digital Differentiators |
| title_sort | new improved fractional order differentiator models based on optimized digital differentiators |
| url | http://dx.doi.org/10.1155/2014/741395 |
| work_keys_str_mv | AT maneeshagupta newimprovedfractionalorderdifferentiatormodelsbasedonoptimizeddigitaldifferentiators AT richayadav newimprovedfractionalorderdifferentiatormodelsbasedonoptimizeddigitaldifferentiators |