Adaptive temperature control of a reverse flow process by using reinforcement learning approach
<p>This work focuses on the design of an optimal adaptive control system for temperature regulation in a catalytic flow reversal reactor (CFRR), utilizing a reinforcement learning (RL) approach. First, a policy iteration algorithm is introduced to learn the optimal solution of the associated l...
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| مؤلفون آخرون: | , , |
| منشور في: |
2024
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| _version_ | 1864513541631901696 |
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| author | A. Binid (22046054) |
| author2 | I. Aksikas (3120909) M.A. Mabrok (22046057) N. Meskin (22046060) |
| author2_role | author author author |
| author_facet | A. Binid (22046054) I. Aksikas (3120909) M.A. Mabrok (22046057) N. Meskin (22046060) |
| author_role | author |
| dc.creator.none.fl_str_mv | A. Binid (22046054) I. Aksikas (3120909) M.A. Mabrok (22046057) N. Meskin (22046060) |
| dc.date.none.fl_str_mv | 2024-06-20T12:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1016/j.jprocont.2024.103259 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Adaptive_temperature_control_of_a_reverse_flow_process_by_using_reinforcement_learning_approach/29899202 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Control engineering, mechatronics and robotics Mathematical sciences Applied mathematics Adaptive control Optimal control Reinforcement learning Catalytic flow reversal reactor Distributed parameter systems |
| dc.title.none.fl_str_mv | Adaptive temperature control of a reverse flow process by using reinforcement learning approach |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p>This work focuses on the design of an optimal adaptive control system for temperature regulation in a catalytic flow reversal reactor (CFRR), utilizing a reinforcement learning (RL) approach. First, a policy iteration algorithm is introduced to learn the optimal solution of the associated linear-quadratic control problem online. It should be mentioned that this approach is not reliant on the internal dynamics of the CFRR system, which is a complex process and is most effectively modeled using Partial Differential Equations (PDEs). The convergence of the iteration algorithm is established, assuming the initial policy is stabilizing. Additionally, a second algorithm is presented to enhance the implementability of the reinforcement learning algorithm from a practical perspective. Numerical simulations are carried out to illustrate the efficacy of the proposed algorithm.</p><h2>Other Information</h2> <p> Published in: Journal of Process Control<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.jprocont.2024.103259" target="_blank">https://dx.doi.org/10.1016/j.jprocont.2024.103259</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_9fea0944cc50b213e97714fc0d8dda6f |
| identifier_str_mv | 10.1016/j.jprocont.2024.103259 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/29899202 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Adaptive temperature control of a reverse flow process by using reinforcement learning approachA. Binid (22046054)I. Aksikas (3120909)M.A. Mabrok (22046057)N. Meskin (22046060)EngineeringControl engineering, mechatronics and roboticsMathematical sciencesApplied mathematicsAdaptive controlOptimal controlReinforcement learningCatalytic flow reversal reactorDistributed parameter systems<p>This work focuses on the design of an optimal adaptive control system for temperature regulation in a catalytic flow reversal reactor (CFRR), utilizing a reinforcement learning (RL) approach. First, a policy iteration algorithm is introduced to learn the optimal solution of the associated linear-quadratic control problem online. It should be mentioned that this approach is not reliant on the internal dynamics of the CFRR system, which is a complex process and is most effectively modeled using Partial Differential Equations (PDEs). The convergence of the iteration algorithm is established, assuming the initial policy is stabilizing. Additionally, a second algorithm is presented to enhance the implementability of the reinforcement learning algorithm from a practical perspective. Numerical simulations are carried out to illustrate the efficacy of the proposed algorithm.</p><h2>Other Information</h2> <p> Published in: Journal of Process Control<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.jprocont.2024.103259" target="_blank">https://dx.doi.org/10.1016/j.jprocont.2024.103259</a></p>2024-06-20T12:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.jprocont.2024.103259https://figshare.com/articles/journal_contribution/Adaptive_temperature_control_of_a_reverse_flow_process_by_using_reinforcement_learning_approach/29899202CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/298992022024-06-20T12:00:00Z |
| spellingShingle | Adaptive temperature control of a reverse flow process by using reinforcement learning approach A. Binid (22046054) Engineering Control engineering, mechatronics and robotics Mathematical sciences Applied mathematics Adaptive control Optimal control Reinforcement learning Catalytic flow reversal reactor Distributed parameter systems |
| status_str | publishedVersion |
| title | Adaptive temperature control of a reverse flow process by using reinforcement learning approach |
| title_full | Adaptive temperature control of a reverse flow process by using reinforcement learning approach |
| title_fullStr | Adaptive temperature control of a reverse flow process by using reinforcement learning approach |
| title_full_unstemmed | Adaptive temperature control of a reverse flow process by using reinforcement learning approach |
| title_short | Adaptive temperature control of a reverse flow process by using reinforcement learning approach |
| title_sort | Adaptive temperature control of a reverse flow process by using reinforcement learning approach |
| topic | Engineering Control engineering, mechatronics and robotics Mathematical sciences Applied mathematics Adaptive control Optimal control Reinforcement learning Catalytic flow reversal reactor Distributed parameter systems |