Fuzzy Systems: Modeling and Control
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
1998
|
| Schriftenreihe: | The Springer Handbook Series on Fuzzy Sets
2 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | The analysis and control of complex systems have been the main motivation for the emergence of fuzzy set theory since its inception. It is also a major research field where many applications, especially industrial ones, have made fuzzy logic famous. This unique handbook is devoted to an extensive, organized, and up-to-date presentation of fuzzy systems engineering methods. The book includes detailed material and extensive bibliographies, written by leading experts in the field, on topics such as: Use of fuzzy logic in various control systems. Fuzzy rule-based modeling and its universal approximation properties. Learning and tuning techniques for fuzzy models, using neural networks and genetic algorithms. Fuzzy control methods, including issues such as stability analysis and design techniques, as well as the relationship with traditional linear control. Fuzzy sets relation to the study of chaotic systems, and the fuzzy extension of set-valued approaches to systems modeling through the use of differential inclusions. Fuzzy Systems: Modeling and Control is part of The Handbooks of Fuzzy Sets Series. The series provides a complete picture of contemporary fuzzy set theory and its applications. This volume is a key reference for systems engineers and scientists seeking a guide to the vast amount of literature in fuzzy logic modeling and control |
| Beschreibung: | 1 Online-Ressource (XXI, 519 p) |
| ISBN: | 9781461555056 9781461375159 |
| ISSN: | 1388-4352 |
| DOI: | 10.1007/978-1-4615-5505-6 |
Internformat
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| 100 | 1 | |a Nguyen, Hung T. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Fuzzy Systems |b Modeling and Control |c edited by Hung T. Nguyen, Michio Sugeno |
| 264 | 1 | |a Boston, MA |b Springer US |c 1998 | |
| 300 | |a 1 Online-Ressource (XXI, 519 p) | ||
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| 650 | 4 | |a Mathematics | |
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Datensatz im Suchindex
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| any_adam_object | |
| author | Nguyen, Hung T. |
| author_facet | Nguyen, Hung T. |
| author_role | aut |
| author_sort | Nguyen, Hung T. |
| author_variant | h t n ht htn |
| building | Verbundindex |
| bvnumber | BV042420908 |
| classification_tum | MAT 000 |
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| dewey-full | 511.3 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 511 - General principles of mathematics |
| dewey-raw | 511.3 |
| dewey-search | 511.3 |
| dewey-sort | 3511.3 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-1-4615-5505-6 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:07Z |
| institution | BVB |
| isbn | 9781461555056 9781461375159 |
| issn | 1388-4352 |
| language | English |
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| series2 | The Springer Handbook Series on Fuzzy Sets |
| spelling | Nguyen, Hung T. Verfasser aut Fuzzy Systems Modeling and Control edited by Hung T. Nguyen, Michio Sugeno Boston, MA Springer US 1998 1 Online-Ressource (XXI, 519 p) txt rdacontent c rdamedia cr rdacarrier The Springer Handbook Series on Fuzzy Sets 2 1388-4352 The analysis and control of complex systems have been the main motivation for the emergence of fuzzy set theory since its inception. It is also a major research field where many applications, especially industrial ones, have made fuzzy logic famous. This unique handbook is devoted to an extensive, organized, and up-to-date presentation of fuzzy systems engineering methods. The book includes detailed material and extensive bibliographies, written by leading experts in the field, on topics such as: Use of fuzzy logic in various control systems. Fuzzy rule-based modeling and its universal approximation properties. Learning and tuning techniques for fuzzy models, using neural networks and genetic algorithms. Fuzzy control methods, including issues such as stability analysis and design techniques, as well as the relationship with traditional linear control. Fuzzy sets relation to the study of chaotic systems, and the fuzzy extension of set-valued approaches to systems modeling through the use of differential inclusions. Fuzzy Systems: Modeling and Control is part of The Handbooks of Fuzzy Sets Series. The series provides a complete picture of contemporary fuzzy set theory and its applications. This volume is a key reference for systems engineers and scientists seeking a guide to the vast amount of literature in fuzzy logic modeling and control Mathematics Artificial intelligence Logic, Symbolic and mathematical Mechanical engineering Computer engineering Operations research Mathematical Logic and Foundations Electrical Engineering Operation Research/Decision Theory Mechanical Engineering Artificial Intelligence (incl. Robotics) Künstliche Intelligenz Mathematik Fuzzy-Regelung (DE-588)4395755-9 gnd rswk-swf Fuzzy-Regelung (DE-588)4395755-9 s 1\p DE-604 Sugeno, Michio Sonstige oth https://doi.org/10.1007/978-1-4615-5505-6 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Nguyen, Hung T. Fuzzy Systems Modeling and Control Mathematics Artificial intelligence Logic, Symbolic and mathematical Mechanical engineering Computer engineering Operations research Mathematical Logic and Foundations Electrical Engineering Operation Research/Decision Theory Mechanical Engineering Artificial Intelligence (incl. Robotics) Künstliche Intelligenz Mathematik Fuzzy-Regelung (DE-588)4395755-9 gnd |
| subject_GND | (DE-588)4395755-9 |
| title | Fuzzy Systems Modeling and Control |
| title_auth | Fuzzy Systems Modeling and Control |
| title_exact_search | Fuzzy Systems Modeling and Control |
| title_full | Fuzzy Systems Modeling and Control edited by Hung T. Nguyen, Michio Sugeno |
| title_fullStr | Fuzzy Systems Modeling and Control edited by Hung T. Nguyen, Michio Sugeno |
| title_full_unstemmed | Fuzzy Systems Modeling and Control edited by Hung T. Nguyen, Michio Sugeno |
| title_short | Fuzzy Systems |
| title_sort | fuzzy systems modeling and control |
| title_sub | Modeling and Control |
| topic | Mathematics Artificial intelligence Logic, Symbolic and mathematical Mechanical engineering Computer engineering Operations research Mathematical Logic and Foundations Electrical Engineering Operation Research/Decision Theory Mechanical Engineering Artificial Intelligence (incl. Robotics) Künstliche Intelligenz Mathematik Fuzzy-Regelung (DE-588)4395755-9 gnd |
| topic_facet | Mathematics Artificial intelligence Logic, Symbolic and mathematical Mechanical engineering Computer engineering Operations research Mathematical Logic and Foundations Electrical Engineering Operation Research/Decision Theory Mechanical Engineering Artificial Intelligence (incl. Robotics) Künstliche Intelligenz Mathematik Fuzzy-Regelung |
| url | https://doi.org/10.1007/978-1-4615-5505-6 |
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