Neuro-dynamic Programming to Optimal Control of a Biotechnological Process
Dynamic programming (DP) is an elegant way to solve problems related to optimization and optimal control of processes. DP, however, has one major drawback, namely the “curse of dimensionality”. To overcome this shortcoming, an approach called neuro-dynamic programming (NDP) has been developed. This...
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| Format: | Article |
| Language: | English |
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Bulgarian Academy of Sciences
2024-12-01
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| Series: | International Journal Bioautomation |
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| Online Access: | http://www.biomed.bas.bg/bioautomation/2024/vol_28.4/files/28.4_03.pdf |
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| author | Tatiana Ilkova Mitko Petrov |
| author_facet | Tatiana Ilkova Mitko Petrov |
| author_sort | Tatiana Ilkova |
| collection | DOAJ |
| description | Dynamic programming (DP) is an elegant way to solve problems related to optimization and optimal control of processes. DP, however, has one major drawback, namely the “curse of dimensionality”. To overcome this shortcoming, an approach called neuro-dynamic programming (NDP) has been developed. This approach solves the “curse of dimensionality” problem of DP. For this purpose, a neural network is used in NDP, which ignores the poor results of the utility criterion. In this way, the time for solving the specific task is significantly shortened. In this work, an NDP algorithm is presented for the optimal control of a fed-batch biotechnological process for the production of L-lysine by the strain Brevibacterium flavum 22LD. Application of the NDP algorithm ensures maximum productivity of the L-lysine. |
| format | Article |
| id | doaj-art-e09f2e9b53784d9ba3e9a8068701711d |
| institution | Kabale University |
| issn | 1314-1902 1314-2321 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Bulgarian Academy of Sciences |
| record_format | Article |
| series | International Journal Bioautomation |
| spelling | doaj-art-e09f2e9b53784d9ba3e9a8068701711d2025-01-09T10:27:31ZengBulgarian Academy of SciencesInternational Journal Bioautomation1314-19021314-23212024-12-0128420522010.7546/ijba.2024.28.4.001036Neuro-dynamic Programming to Optimal Control of a Biotechnological ProcessTatiana Ilkova0Mitko PetrovFaculty of Engineering, South-West University “Neofit Rilski”, 66 Ivan Mihaylov Str., 2700 Blagoevgrad, BulgariaDynamic programming (DP) is an elegant way to solve problems related to optimization and optimal control of processes. DP, however, has one major drawback, namely the “curse of dimensionality”. To overcome this shortcoming, an approach called neuro-dynamic programming (NDP) has been developed. This approach solves the “curse of dimensionality” problem of DP. For this purpose, a neural network is used in NDP, which ignores the poor results of the utility criterion. In this way, the time for solving the specific task is significantly shortened. In this work, an NDP algorithm is presented for the optimal control of a fed-batch biotechnological process for the production of L-lysine by the strain Brevibacterium flavum 22LD. Application of the NDP algorithm ensures maximum productivity of the L-lysine.http://www.biomed.bas.bg/bioautomation/2024/vol_28.4/files/28.4_03.pdfoptimal controldynamic programmingneuro-dynamic programmingfed-batch biotechnological processesl-lysine productionbrevibacterium flavum 22ld strain |
| spellingShingle | Tatiana Ilkova Mitko Petrov Neuro-dynamic Programming to Optimal Control of a Biotechnological Process International Journal Bioautomation optimal control dynamic programming neuro-dynamic programming fed-batch biotechnological processes l-lysine production brevibacterium flavum 22ld strain |
| title | Neuro-dynamic Programming to Optimal Control of a Biotechnological Process |
| title_full | Neuro-dynamic Programming to Optimal Control of a Biotechnological Process |
| title_fullStr | Neuro-dynamic Programming to Optimal Control of a Biotechnological Process |
| title_full_unstemmed | Neuro-dynamic Programming to Optimal Control of a Biotechnological Process |
| title_short | Neuro-dynamic Programming to Optimal Control of a Biotechnological Process |
| title_sort | neuro dynamic programming to optimal control of a biotechnological process |
| topic | optimal control dynamic programming neuro-dynamic programming fed-batch biotechnological processes l-lysine production brevibacterium flavum 22ld strain |
| url | http://www.biomed.bas.bg/bioautomation/2024/vol_28.4/files/28.4_03.pdf |
| work_keys_str_mv | AT tatianailkova neurodynamicprogrammingtooptimalcontrolofabiotechnologicalprocess AT mitkopetrov neurodynamicprogrammingtooptimalcontrolofabiotechnologicalprocess |