Analytical Methods in Fuzzy Modeling and Control by Jacek Kluska (English) Paper

Description: Analytical Methods in Fuzzy Modeling and Control by Jacek Kluska 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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 database with keywords "fuzzy mod- ing" and "fuzzy control" dated 1969-2007is 1,541 and 9,728, respectively. In spite of the evident progress reported in terms of concepts, algorithmic - velopments and engineering practice, there are still a number of challenging and highly relevant problems. Unfortunately, the existing publications are rather silent when it comes to reporting comprehensive solutions to them. The two challenges become particularly apparent and have been triggeredby the growing complexity of the applications. The ?rst evident challenge we are faced with is the curse of dimensionality. Rule-based systems and fuzzy rule-based systems are quite a?ected by this phenomenon especially when tackling problems of high dimensionality. The second one concerns a way of constructing fuzzy models which are accurate yet highly interpretable. The author of the monographhas focused on these two vital problems and o?eredan interesting,originaland practically relevantinsight into their so- tions.Whendealingwithfuzzymodeling,thebookfocusesonabroadclassof Takagi-Sugeno-Kang (TS) fuzzy models - a highly legitimate choice given a wealthof literature onthese constructs and a greatdeal of their applications.Furthermorethe TS fuzzy models havebeen asubject ofnumerousanalytical studies which have resulted in a series of interesting ?ndings. This situation stands in a deep contrast with the most studies carried out in the realm of fuzzy control where analytical methods are not very common. Back Cover 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 authors 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. Table of Contents 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. Review From the reviews:"This book is intended for researchers, engineers, and graduate students interested in fuzziness and soft computing, engineering, control, and computer engineering." (IEEE Control Systems and Magazine, Vol. 30, June, 2010) Long Description 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 database with keywords "fuzzy mod- ing" and "fuzzy control" dated 1969-2007is 1,541 and 9,728, respectively. In spite of the evident progress reported in terms of concepts, algorithmic - velopments and engineering practice, there are still a number of challenging and highly relevant problems. Unfortunately, the existing publications are rather silent when it comes to reporting comprehensive solutions to them. The two challenges become particularly apparent and have been triggeredby the growing complexity of the applications. The ?rst evident challenge we are faced with is the curse of dimensionality. Rule-based systems and fuzzy rule-based systems are quite aected by this phenomenon especially when tackling problems of high dimensionality. The second one concerns a way of constructing fuzzy models which are accurate yet highly interpretable. The author of the monographhas focused on these two vital problems and oeredan interesting,originaland practically relevantinsight into their so- tions.Whendealingwithfuzzymodeling,thebookfocusesonabroadclassof Takagi-Sugeno-Kang (TS) fuzzy models - a highly legitimate choice given a wealthof literature onthese constructs and a greatdeal of their applications. Furthermorethe TS fuzzy models havebeen asubject ofnumerousanalytical studies which have resulted in a series of interesting ?ndings. This situation stands in a deep contrast with the most studies carried out in the realm of fuzzy control where analytical methods are not very common. Review Quote From the reviews:This book is intended for researchers, engineers, and graduate students interested in fuzziness and soft computing, engineering, control, and computer engineering. (IEEE Control Systems and Magazine, Vol. 30, June, 2010) Feature 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 Details ISBN3642100643 Author Jacek Kluska Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Series Studies in Fuzziness and Soft Computing Year 2010 ISBN-10 3642100643 ISBN-13 9783642100642 Format Paperback Publication Date 2010-10-21 Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K Place of Publication Berlin Country of Publication Germany DEWEY 629.8 Edition 1st Short Title ANALYTICAL METHODS IN FUZZY MO Language English Media Book Series Number 241 Pages 251 Edition Description Softcover reprint of hardcover 1st ed. 2009 Alternative 9783540899266 Audience Professional & Vocational Illustrations 56 Illustrations, black and white; XXVI, 251 p. 56 illus. We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:96239140;

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