Switching controllers based on neural networks estimates of stability regions and controller performance
Resumen:
This paper presents new results on switching control using neural networks. Given a set of candidate controllers, a pair of neural networks is trained to identify the stability region and estimate the closed-loop performance for each controller. The neural network outputs are used in the on-line switching rule to select the controller output to be applied to the system during each control period. The paper presents architectures and training procedures for the neural networks and sufficient conditions for stability of the closed-loop system using the proposed switching strategy. The neural-network-based switching strategy is applied to generate the switching strategy embeded in the SIMPLEX architecture, a real-time infrastructure for soft on-line control system upgrades. Results are shown for the real-time level control of a submerged vessel.
| 1998 | |
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Performance index Lyapunov function Stability region Switching control Switching rule |
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| Inglés | |
| Universidad de la República | |
| COLIBRI | |
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https://hdl.handle.net/20.500.12008/20757
https://doi.org/10.1007/3-540-64358-3_36 |
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| Acceso abierto | |
| Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND) |
| _version_ | 1807522890672766976 |
|---|---|
| author | Ferreira, Enrique |
| author2 | Krogh, Bruce |
| author2_role | author |
| author_facet | Ferreira, Enrique Krogh, Bruce |
| author_role | author |
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| collection | COLIBRI |
| dc.creator.none.fl_str_mv | Ferreira, Enrique Krogh, Bruce |
| dc.date.accessioned.none.fl_str_mv | 2019-05-29T15:28:08Z |
| dc.date.available.none.fl_str_mv | 2019-05-29T15:28:08Z |
| dc.date.issued.es.fl_str_mv | 1998 |
| dc.date.submitted.es.fl_str_mv | 20190528 |
| dc.description.abstract.none.fl_txt_mv | This paper presents new results on switching control using neural networks. Given a set of candidate controllers, a pair of neural networks is trained to identify the stability region and estimate the closed-loop performance for each controller. The neural network outputs are used in the on-line switching rule to select the controller output to be applied to the system during each control period. The paper presents architectures and training procedures for the neural networks and sufficient conditions for stability of the closed-loop system using the proposed switching strategy. The neural-network-based switching strategy is applied to generate the switching strategy embeded in the SIMPLEX architecture, a real-time infrastructure for soft on-line control system upgrades. Results are shown for the real-time level control of a submerged vessel. |
| dc.description.es.fl_txt_mv | Postprint. Trabajo presentado en International Workshop on Hybrid Systems: Computation and Control, 1998. |
| dc.identifier.citation.es.fl_str_mv | Ferreira, Enrique, Krogh, Bruce. Switching controllers based on neural networks estimates of stability regions and controller performance [en línea] Lecture Notes in Computer Science, v. 1386 |
| dc.identifier.doi.es.fl_str_mv | https://doi.org/10.1007/3-540-64358-3_36 |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/20757 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.publisher.es.fl_str_mv | Springer |
| dc.relation.ispartof.es.fl_str_mv | Lecture Notes in Computer Science, v. 1386 |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | Performance index Lyapunov function Stability region Switching control Switching rule |
| dc.title.none.fl_str_mv | Switching controllers based on neural networks estimates of stability regions and controller performance |
| dc.type.es.fl_str_mv | Artículo |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | Postprint. Trabajo presentado en International Workshop on Hybrid Systems: Computation and Control, 1998. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | COLIBRI_d1109943396dbc1011d68178317797a0 |
| identifier_str_mv | Ferreira, Enrique, Krogh, Bruce. Switching controllers based on neural networks estimates of stability regions and controller performance [en línea] Lecture Notes in Computer Science, v. 1386 |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/20757 |
| publishDate | 1998 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | mabel.seroubian@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND) |
| spelling | 2019-05-29T15:28:08Z2019-05-29T15:28:08Z199820190528Ferreira, Enrique, Krogh, Bruce. Switching controllers based on neural networks estimates of stability regions and controller performance [en línea] Lecture Notes in Computer Science, v. 1386https://hdl.handle.net/20.500.12008/20757https://doi.org/10.1007/3-540-64358-3_36Postprint. Trabajo presentado en International Workshop on Hybrid Systems: Computation and Control, 1998.This paper presents new results on switching control using neural networks. Given a set of candidate controllers, a pair of neural networks is trained to identify the stability region and estimate the closed-loop performance for each controller. The neural network outputs are used in the on-line switching rule to select the controller output to be applied to the system during each control period. The paper presents architectures and training procedures for the neural networks and sufficient conditions for stability of the closed-loop system using the proposed switching strategy. The neural-network-based switching strategy is applied to generate the switching strategy embeded in the SIMPLEX architecture, a real-time infrastructure for soft on-line control system upgrades. Results are shown for the real-time level control of a submerged vessel.Made available in DSpace on 2019-05-29T15:28:08Z (GMT). No. of bitstreams: 5 FK98.pdf: 1076834 bytes, checksum: 51246fe37da6a63208123eb2cadcc065 (MD5) license_text: 21936 bytes, checksum: 9833653f73f7853880c94a6fead477b1 (MD5) license_url: 49 bytes, checksum: 4afdbb8c545fd630ea7db775da747b2f (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) license.txt: 4194 bytes, checksum: 7f2e2c17ef6585de66da58d1bfa8b5e1 (MD5) Previous issue date: 1998enengSpringerLecture Notes in Computer Science, v. 1386Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad De La República. (Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. 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- Universidad de la Repúblicafalse |
| spellingShingle | Switching controllers based on neural networks estimates of stability regions and controller performance Ferreira, Enrique Performance index Lyapunov function Stability region Switching control Switching rule |
| status_str | publishedVersion |
| title | Switching controllers based on neural networks estimates of stability regions and controller performance |
| title_full | Switching controllers based on neural networks estimates of stability regions and controller performance |
| title_fullStr | Switching controllers based on neural networks estimates of stability regions and controller performance |
| title_full_unstemmed | Switching controllers based on neural networks estimates of stability regions and controller performance |
| title_short | Switching controllers based on neural networks estimates of stability regions and controller performance |
| title_sort | Switching controllers based on neural networks estimates of stability regions and controller performance |
| topic | Performance index Lyapunov function Stability region Switching control Switching rule |
| url | https://hdl.handle.net/20.500.12008/20757 https://doi.org/10.1007/3-540-64358-3_36 |
