Fuzzy modeling and fuzzy control
Fuzzy logic methodology has been proven effective in dealing with complex nonlinear systems containing uncertainties that are otherwise difficult to model. Technology based on this methodology has been applied to many real-world problems, especially in the area of consumer products. This book presen...
Enregistré dans:
| Auteurs principaux: | , |
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| 格式: | Livre numérique |
| 语言: | Anglais |
| 出版: |
Boston, MA :
Birkhäuser Boston
[20..].
Cham : Springer Nature |
| 版: | 1st ed. 2006. |
| 丛编: | Control Engineering
|
| 在线阅读: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 提示: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Fuzzy modeling and fuzzy control, Huaguang Zhang, Derong Liu, Boston ; Basel, Birkhäuser, 2006, 1Vol. (xiii-416 p.), Control engineering, 978-0-8176-4491-8 |
| 总结: | Fuzzy logic methodology has been proven effective in dealing with complex nonlinear systems containing uncertainties that are otherwise difficult to model. Technology based on this methodology has been applied to many real-world problems, especially in the area of consumer products. This book presents the first unified and thorough treatment of fuzzy modeling and fuzzy control, providing necessary tools for the control of complex nonlinear systems. Based on three types of fuzzy models the Mamdani fuzzy model, the Takagi Sugeno fuzzy model, and the fuzzy hyperbolic model the book addresses a number of important issues in fuzzy control systems, including fuzzy modeling, fuzzy inference, stability analysis, systematic design frameworks, robustness, and optimality. The authors develop several advanced control schemes, such as the fuzzy model-based generalized predictive control scheme, the fuzzy adaptive control scheme based on fuzzy basis function vectors, the fuzzy control scheme based on fuzzy performance evaluators, and the fuzzy sliding-mode control scheme. Careful consideration is given to questions concerning model complexity, model precision, and computing time. In addition to being an excellent reference for electrical, computer, chemical, industrial, civil, manufacturing, mechanical and aeronautical engineers, the book may also be appropriate for classroom use in a graduate course in electrical engineering, computer engineering, and computer science. Applied mathematicians, control engineers, computer scientists, and physicists will benefit from the presentation as well |
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| Item Description: | Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| ISBN: | 9780817645397 |
| ISSN: | 2373-7727 |
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