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Computational intelligence and optimization methods for control engineering
This volume presents some recent and principal developments related to computational intelligence and optimization methods in control. Theoretical aspects and practical applications of control engineering are covered by 14 self-contained contributions. Additional gems include the discussion of futur...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2019
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/978-3-030-25446-9 http://cds.cern.ch/record/2691391 |
| _version_ | 1780963846313213952 |
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| author | Blondin, Maude Pardalos, Panos Sáez, Javier |
| author_facet | Blondin, Maude Pardalos, Panos Sáez, Javier |
| author_sort | Blondin, Maude |
| collection | CERN |
| description | This volume presents some recent and principal developments related to computational intelligence and optimization methods in control. Theoretical aspects and practical applications of control engineering are covered by 14 self-contained contributions. Additional gems include the discussion of future directions and research perspectives designed to add to the reader’s understanding of both the challenges faced in control engineering and the insights into the developing of new techniques. With the knowledge obtained, readers are encouraged to determine the appropriate control method for specific applications. |
| id | cern-2691391 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2019 |
| publisher | Springer |
| record_format | invenio |
| spelling | cern-26913912021-04-21T18:19:23Zdoi:10.1007/978-3-030-25446-9http://cds.cern.ch/record/2691391engBlondin, MaudePardalos, PanosSáez, JavierComputational intelligence and optimization methods for control engineeringMathematical Physics and MathematicsThis volume presents some recent and principal developments related to computational intelligence and optimization methods in control. Theoretical aspects and practical applications of control engineering are covered by 14 self-contained contributions. Additional gems include the discussion of future directions and research perspectives designed to add to the reader’s understanding of both the challenges faced in control engineering and the insights into the developing of new techniques. With the knowledge obtained, readers are encouraged to determine the appropriate control method for specific applications.Springeroai:cds.cern.ch:26913912019 |
| spellingShingle | Mathematical Physics and Mathematics Blondin, Maude Pardalos, Panos Sáez, Javier Computational intelligence and optimization methods for control engineering |
| title | Computational intelligence and optimization methods for control engineering |
| title_full | Computational intelligence and optimization methods for control engineering |
| title_fullStr | Computational intelligence and optimization methods for control engineering |
| title_full_unstemmed | Computational intelligence and optimization methods for control engineering |
| title_short | Computational intelligence and optimization methods for control engineering |
| title_sort | computational intelligence and optimization methods for control engineering |
| topic | Mathematical Physics and Mathematics |
| url | https://dx.doi.org/10.1007/978-3-030-25446-9 http://cds.cern.ch/record/2691391 |
| work_keys_str_mv | AT blondinmaude computationalintelligenceandoptimizationmethodsforcontrolengineering AT pardalospanos computationalintelligenceandoptimizationmethodsforcontrolengineering AT saezjavier computationalintelligenceandoptimizationmethodsforcontrolengineering |