Fully Tuned Radial Basis Function Neural Networks for Flight Control
Fully Tuned Radial Basis Function Neural Networks for Flight Control presents the use of the Radial Basis Function (RBF) neural networks for adaptive control of nonlinear systems with emphasis on flight control applications. A Lyapunov synthesis approach is used to derive the tuning rules for the RB...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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New York, NY
Springer US
2002
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| Ausgabe: | 1st ed. 2002 |
| Schriftenreihe: | The International Series on Asian Studies in Computer and Information Science
12 |
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| 100 | 1 | |a Sundararajan, N. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Fully Tuned Radial Basis Function Neural Networks for Flight Control |c by N. Sundararajan, P. Saratchandran, Yan Li |
| 250 | |a 1st ed. 2002 | ||
| 264 | 1 | |a New York, NY |b Springer US |c 2002 | |
| 300 | |a 1 Online-Ressource (XVI, 158 p) | ||
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| 490 | 0 | |a The International Series on Asian Studies in Computer and Information Science |v 12 | |
| 520 | |a Fully Tuned Radial Basis Function Neural Networks for Flight Control presents the use of the Radial Basis Function (RBF) neural networks for adaptive control of nonlinear systems with emphasis on flight control applications. A Lyapunov synthesis approach is used to derive the tuning rules for the RBF controller parameters in order to guarantee the stability of the closed loop system. Unlike previous methods that tune only the weights of the RBF network, this book presents the derivation of the tuning law for tuning the centers, widths, and weights of the RBF network, and compares the results with existing algorithms. It also includes a detailed review of system identification, including indirect and direct adaptive control of nonlinear systems using neural networks. Fully Tuned Radial Basis Function Neural Networks for Flight Control is an excellent resource for professionals using neural adaptive controllers for flight control applications | ||
| 650 | 4 | |a Complex Systems | |
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| 650 | 4 | |a Artificial Intelligence | |
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| 650 | 4 | |a Artificial intelligence | |
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Datensatz im Suchindex
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| author | Sundararajan, N. Saratchandran, P. Yan Li |
| author_facet | Sundararajan, N. Saratchandran, P. Yan Li |
| author_role | aut aut aut |
| author_sort | Sundararajan, N. |
| author_variant | n s ns p s ps y l yl |
| building | Verbundindex |
| bvnumber | BV047064242 |
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| dewey-full | 621 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 621 - Applied physics |
| dewey-raw | 621 |
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| dewey-sort | 3621 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.1007/978-1-4757-5286-1 |
| edition | 1st ed. 2002 |
| format | Electronic eBook |
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| id | DE-604.BV047064242 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:12:22Z |
| indexdate | 2024-07-10T09:01:34Z |
| institution | BVB |
| isbn | 9781475752861 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032471354 |
| oclc_num | 1227480117 |
| open_access_boolean | |
| owner | DE-706 |
| owner_facet | DE-706 |
| physical | 1 Online-Ressource (XVI, 158 p) |
| psigel | ZDB-2-SCS ZDB-2-SCS_2000/2004 ZDB-2-SCS ZDB-2-SCS_2000/2004 |
| publishDate | 2002 |
| publishDateSearch | 2002 |
| publishDateSort | 2002 |
| publisher | Springer US |
| record_format | marc |
| series2 | The International Series on Asian Studies in Computer and Information Science |
| spelling | Sundararajan, N. Verfasser aut Fully Tuned Radial Basis Function Neural Networks for Flight Control by N. Sundararajan, P. Saratchandran, Yan Li 1st ed. 2002 New York, NY Springer US 2002 1 Online-Ressource (XVI, 158 p) txt rdacontent c rdamedia cr rdacarrier The International Series on Asian Studies in Computer and Information Science 12 Fully Tuned Radial Basis Function Neural Networks for Flight Control presents the use of the Radial Basis Function (RBF) neural networks for adaptive control of nonlinear systems with emphasis on flight control applications. A Lyapunov synthesis approach is used to derive the tuning rules for the RBF controller parameters in order to guarantee the stability of the closed loop system. Unlike previous methods that tune only the weights of the RBF network, this book presents the derivation of the tuning law for tuning the centers, widths, and weights of the RBF network, and compares the results with existing algorithms. It also includes a detailed review of system identification, including indirect and direct adaptive control of nonlinear systems using neural networks. Fully Tuned Radial Basis Function Neural Networks for Flight Control is an excellent resource for professionals using neural adaptive controllers for flight control applications Complex Systems Calculus of Variations and Optimal Control; Optimization Artificial Intelligence Automotive Engineering Statistical Physics and Dynamical Systems Statistical physics Dynamical systems Calculus of variations Artificial intelligence Automotive engineering Saratchandran, P. aut Yan Li aut Erscheint auch als Druck-Ausgabe 9781441949158 Erscheint auch als Druck-Ausgabe 9780792375180 Erscheint auch als Druck-Ausgabe 9781475752878 https://doi.org/10.1007/978-1-4757-5286-1 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Sundararajan, N. Saratchandran, P. Yan Li Fully Tuned Radial Basis Function Neural Networks for Flight Control Complex Systems Calculus of Variations and Optimal Control; Optimization Artificial Intelligence Automotive Engineering Statistical Physics and Dynamical Systems Statistical physics Dynamical systems Calculus of variations Artificial intelligence Automotive engineering |
| title | Fully Tuned Radial Basis Function Neural Networks for Flight Control |
| title_auth | Fully Tuned Radial Basis Function Neural Networks for Flight Control |
| title_exact_search | Fully Tuned Radial Basis Function Neural Networks for Flight Control |
| title_exact_search_txtP | Fully Tuned Radial Basis Function Neural Networks for Flight Control |
| title_full | Fully Tuned Radial Basis Function Neural Networks for Flight Control by N. Sundararajan, P. Saratchandran, Yan Li |
| title_fullStr | Fully Tuned Radial Basis Function Neural Networks for Flight Control by N. Sundararajan, P. Saratchandran, Yan Li |
| title_full_unstemmed | Fully Tuned Radial Basis Function Neural Networks for Flight Control by N. Sundararajan, P. Saratchandran, Yan Li |
| title_short | Fully Tuned Radial Basis Function Neural Networks for Flight Control |
| title_sort | fully tuned radial basis function neural networks for flight control |
| topic | Complex Systems Calculus of Variations and Optimal Control; Optimization Artificial Intelligence Automotive Engineering Statistical Physics and Dynamical Systems Statistical physics Dynamical systems Calculus of variations Artificial intelligence Automotive engineering |
| topic_facet | Complex Systems Calculus of Variations and Optimal Control; Optimization Artificial Intelligence Automotive Engineering Statistical Physics and Dynamical Systems Statistical physics Dynamical systems Calculus of variations Artificial intelligence Automotive engineering |
| url | https://doi.org/10.1007/978-1-4757-5286-1 |
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