Analytical methods in fuzzy modeling and control

This book is focused on mathematical analysis and rigorous design methods for fuzzy control systems based on Takagi-Sugeno fuzzy models, sometimes called Takagi-Sugeno-Kang models. The author presents a rather general analytical theory of exact fuzzy modeling and control of continuous and discrete-t...

詳細記述

保存先:
書誌詳細
第一著者: Kluska, Jasek, 19..-
フォーマット: Livre numérique
言語:Anglais
出版事項: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
版:1st ed. 2009.
シリーズ:Studies in Fuzziness and Soft Computing 241
オンライン・アクセス:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
注記: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Analytical Methods in Fuzzy Modeling and Control, Texte imprimé, 9783642100642
• Analytical Methods in Fuzzy Modeling and Control, Texte imprimé, 9783540899280
• Analytical Methods in Fuzzy Modeling and Control, Texte imprimé, 9783540899266
LEADER 04037nam a22003497a 4500
001 941253
008 090420q2000 xx ||| |||| 00| 0 eng d
009 PPN132870614
020 |a 9783540899273 
041 0 |a eng 
082 |a 519 
100 1 |a Kluska, Jasek,  |d 19..- 
245 1 0 |a Analytical methods in fuzzy modeling and control   |c by Jasek Kluska ; edited by Janusz Kacprzyk. 
250 |a 1st ed. 2009. 
260 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg. 
260 |a Cham :  |b Springer Nature,  |c [20..]. 
490 0 |a Studies in Fuzziness and Soft Computing  |v 241  |x 1860-0808 
500 |a Archives Springer e-books (Licence nationale) 
500 |a Archives Springer e-books (Licence nationale) 
505 1 |a MISO Takagi-Sugeno Fuzzy System with Linear Membership Functions Recursion in TS Systems with Two Fuzzy Sets for Every Input Fuzzy Rule-Based Systems with Polynomial Membership Functions Comprehensive Study and Applications of P1-TS Systems Modeling of Multilinear Dynamical Systems from Experimental Data Binary Classification Using P1-TS Rule Scheme. 
506 |a Accès en ligne pour les établissements français bénéficiaires des licences nationales 
506 |a Accès soumis à abonnement pour tout autre établissement 
506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |a This book is focused on mathematical analysis and rigorous design methods for fuzzy control systems based on Takagi-Sugeno fuzzy models, sometimes called Takagi-Sugeno-Kang models. The author presents a rather general analytical theory of exact fuzzy modeling and control of continuous and discrete-time dynamical systems. Main attention is paid to usability of the results for the control and computer engineering community and therefore simple and easy knowledge-bases for linguistic interpretation have been used. The approach is based on the author s theorems concerning equivalence between widely used Takagi-Sugeno systems and some class of multivariate polynomials. It combines the advantages of fuzzy system theory and classical control theory. Classical control theory can be applied to modeling of dynamical plants and the controllers. They are all equivalent to the set of Takagi-Sugeno type fuzzy rules. The approach combines the best of fuzzy and conventional control theory. It enables linguistic interpretability (also called transparency) of both the plant model and the controller. In the case of linear systems and some class of nonlinear systems, engineers can in many cases directly apply well-known classical tools from the control theory both for analysis, and the design of closed-loop fuzzy control systems. Therefore the main objective of the book is to establish comprehensive and unified analytical foundations for fuzzy modeling using the Takagi-Sugeno rule scheme and their applications for fuzzy control, identification of some class of nonlinear dynamical processes and classification problem solver design. 
776 0 |t Analytical Methods in Fuzzy Modeling and Control  |b Texte imprimé  |z 9783642100642 
776 0 |t Analytical Methods in Fuzzy Modeling and Control  |b Texte imprimé  |z 9783540899280 
776 0 |t Analytical Methods in Fuzzy Modeling and Control  |b Texte imprimé  |z 9783540899266 
856 4 |q PDF  |u https://doi.org/10.1007/978-3-540-89927-3  |z Accès sur la plateforme de l'éditeur 
856 4 |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-JV3N6VS4-5  |z Accès sur la plateforme Istex 
856 4 |5 452349901:74784951X  |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-3-540-89927-3  |z Accès Université d'Orléans 
856 4 |5 180339901:750867035  |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-3-540-89927-3  |z Accès INSA CVL 
997 |0 941253  |1 Livre numérique  |a Ressource numérique  |b INSA  |b ENSA  |c 0/Bibliothèque numérique/  |c 1/Bibliothèque numérique/Autre ressource numérique/