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Analytical Methods in Fuzzy Modeling and Control - Jacek Kluska
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Jacek Kluska:

Analytical Methods in Fuzzy Modeling and Control - Pasta blanda

2010, ISBN: 3642100643

[EAN: 9783642100642], New book, [SC: 14.38], [PU: Springer Berlin Heidelberg], CLASSIFICATION; CONTROLSYSTEM; CONTROLTHEORY; DYNAMICALSYSTEM; DYNAMICALSYSTEMS; DYNAMISCHESYSTEME; FUZZYCON… Más…

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2007, ISBN: 9783642100642

The technologies of fuzzy systems and fuzzy controllers, in particular, have been applied with great success to numerous real world applications. The number of entries in the INSPEC datab… Más…

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Kluska, Jacek:
Analytical Methods in Fuzzy Modeling and Control - Pasta blanda

2010

ISBN: 9783642100642

Trade paperback, New., Trade paperback (US). Glued binding. 251 p. Contains: Illustrations, black & white, Tables, black & white. Studies in Fuzziness and Soft Computing, 241., Berlin, He… Más…

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Kluska, Jacek:
Analytical Methods in Fuzzy Modeling and Control - Pasta blanda

ISBN: 9783642100642

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Jacek Kluska:
Analytical Methods in Fuzzy Modeling and Control - libro usado

ISBN: 9783642100642

Livre, [PU: Springer, Berlin/Heidelberg/New York, NY]

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Detalles del libro
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-time dynamical systems. The main attention is paid to usability of the results for the control and computer engineering community and therefore simple and easy for linguistic interpretation knowledge-bases 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, the engineer can in many cases directly apply well-known classical tools from the control theory both for analysis, and the design of the closed-loop fuzzy control systems. Therefore the main objective of the book is to establish comprehensive and unified analytical foundations for fuzzy modeling using Takagi-Sugeno rule scheme and their applications for fuzzy control, identification of some class of nonlinear dynamical processes and classification problem solver design.

Detalles del libro - Analytical Methods in Fuzzy Modeling and Control


EAN (ISBN-13): 9783642100642
ISBN (ISBN-10): 3642100643
Tapa dura
Tapa blanda
Año de publicación: 2010
Editorial: Springer
280 Páginas
Peso: 0,427 kg
Idioma: eng/Englisch

Libro en la base de datos desde 2012-03-25T14:29:23-06:00 (Mexico City)
Página de detalles modificada por última vez el 2023-07-05T07:19:38-06:00 (Mexico City)
ISBN/EAN: 9783642100642

ISBN - escritura alterna:
3-642-10064-3, 978-3-642-10064-2
Mode alterno de escritura y términos de búsqueda relacionados:
Título del libro: analytical methods cam, fuzzy control


Datos del la editorial

Autor: Jacek Kluska
Título: Studies in Fuzziness and Soft Computing; Analytical Methods in Fuzzy Modeling and Control
Editorial: Springer; Springer Berlin
251 Páginas
Año de publicación: 2010-10-21
Berlin; Heidelberg; DE
Impreso en
Idioma: Inglés
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XXVI, 251 p. 56 illus.

BC; Hardcover, Softcover / Technik/Allgemeines, Lexika; Mathematik für Ingenieure; Verstehen; classification; control; control system; control theory; dynamical system; dynamical systems; dynamische Systeme; fuzzy; fuzzy control; fuzzy set; fuzzy sets; fuzzy system; modeling; nonlinear system; systems theory; Mathematical and Computational Engineering Applications; Artificial Intelligence; Control, Robotics, Automation; Künstliche Intelligenz; Regelungstechnik; BB

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.
Presents mathematical analysis and rigorous design methods for fuzzy control systems based on Takagi-Sugeno fuzzy models Overview about the general analytical theory of exact fuzzy modeling and control of continuous and discrete-time dynamical systems Includes supplementary material: sn.pub/extras

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