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Ajouter au panierhardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Ajouter au panierx, 130 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
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Ajouter au panierEtat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Ajouter au panierEtat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Langue: anglais
Edité par World Scientific Publishing Company, 2002
ISBN 10 : 9810248776 ISBN 13 : 9789810248772
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Ajouter au panierEtat : Very good.
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Ajouter au panierHardback. Etat : New.
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Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
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Ajouter au panierEtat : new.
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Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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Ajouter au panierHRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Langue: anglais
Edité par John Wiley & Sons Inc, Hoboken, 2019
ISBN 10 : 111949155X ISBN 13 : 9781119491552
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
EUR 104,11
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Ajouter au panierHardcover. Etat : new. Hardcover. An original, systematic-solution approach to uncertain nonlinear systems control and modeling using fuzzy equations and fuzzy differential equations There are various numerical and analytical approaches to the modeling and control of uncertain nonlinear systems. Fuzzy logic theory is an increasingly popular method used to solve inconvenience problems in nonlinear modeling. Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number presents a structured approach to the control and modeling of uncertain nonlinear systems in industry using fuzzy equations and fuzzy differential equations. The first major work to explore methods based on neural networks and Bernstein neural networks, this innovative volume provides a framework for control and modeling of uncertain nonlinear systems with applications to industry. Readers learn how to use fuzzy techniques to solve scientific and engineering problems and understand intelligent control design and applications. The text assembles the results of four years of research on control of uncertain nonlinear systems with dual fuzzy equations, fuzzy modeling for uncertain nonlinear systems with fuzzy equations, the numerical solution of fuzzy equations with Z-numbers, and the numerical solution of fuzzy differential equations with Z-numbers. Using clear and accessible language to explain concepts and principles applicable to real-world scenarios, this book: Presents the modeling and control of uncertain nonlinear systems with fuzzy equations and fuzzy differential equationsIncludes an overview of uncertain nonlinear systems for non-specialistsTeaches readers to use simulation, modeling and verification skills valuable for scientific research and engineering systems developmentReinforces comprehension with illustrations, tables, examples, and simulations Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number is suitable as a textbook for advanced students, academic and industrial researchers, and practitioners in fields of systems engineering, learning control systems, neural networks, computational intelligence, and fuzzy logic control. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Langue: anglais
Edité par John Wiley and Sons Inc, US, 2019
ISBN 10 : 111949155X ISBN 13 : 9781119491552
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 108,15
Quantité disponible : 20 disponible(s)
Ajouter au panierHardback. Etat : New. An original, systematic-solution approach to uncertain nonlinear systems control and modeling using fuzzy equations and fuzzy differential equations There are various numerical and analytical approaches to the modeling and control of uncertain nonlinear systems. Fuzzy logic theory is an increasingly popular method used to solve inconvenience problems in nonlinear modeling. Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number presents a structured approach to the control and modeling of uncertain nonlinear systems in industry using fuzzy equations and fuzzy differential equations. The first major work to explore methods based on neural networks and Bernstein neural networks, this innovative volume provides a framework for control and modeling of uncertain nonlinear systems with applications to industry. Readers learn how to use fuzzy techniques to solve scientific and engineering problems and understand intelligent control design and applications. The text assembles the results of four years of research on control of uncertain nonlinear systems with dual fuzzy equations, fuzzy modeling for uncertain nonlinear systems with fuzzy equations, the numerical solution of fuzzy equations with Z-numbers, and the numerical solution of fuzzy differential equations with Z-numbers. Using clear and accessible language to explain concepts and principles applicable to real-world scenarios, this book: Presents the modeling and control of uncertain nonlinear systems with fuzzy equations and fuzzy differential equationsIncludes an overview of uncertain nonlinear systems for non-specialistsTeaches readers to use simulation, modeling and verification skills valuable for scientific research and engineering systems developmentReinforces comprehension with illustrations, tables, examples, and simulations Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number is suitable as a textbook for advanced students, academic and industrial researchers, and practitioners in fields of systems engineering, learning control systems, neural networks, computational intelligence, and fuzzy logic control.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 93,73
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Ajouter au panierEtat : New. In.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 94,37
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 93,71
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Ajouter au panierEtat : New.
Vendeur : Lavendier Books, Foster, RI, Etats-Unis
EUR 110,77
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Ajouter au panierhardcover. Etat : As New. Springer Verlag; Berlin, 2006. Hardcover. A Near Fine, binding firm, trace handling marks, mild crimping to spine edges, trace handling/scuff marks to boards, without Dust wrapper. A nice, clean and unmarked copy. 8vo[octavo or approx. 6 x 9 inches], 299pp., references. We pack securely and ship daily with delivery confirmation on every book. The picture on the listing page is of the actual book for sale. Additional Scan(s) are available for any item, please inquire.Please note: Oversized books/sets MAY require additional postage then what is quoted for 2.2lb book.
Langue: anglais
Edité par Wiley-IEEE Press 2019-07-12, 2019
ISBN 10 : 111949155X ISBN 13 : 9781119491552
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 104,60
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Ajouter au panierHardcover. Etat : New.
Vendeur : Ubiquity Trade, Miami, FL, Etats-Unis
EUR 120,62
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Ajouter au panierEtat : New. Brand new! Please provide a physical shipping address.
Langue: anglais
Edité par John Wiley and Sons Ltd, 2019
ISBN 10 : 111949155X ISBN 13 : 9781119491552
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 103,21
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Ajouter au panierHardback. Etat : New. New copy - Usually dispatched within 4 working days.
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Edition originale
EUR 113,93
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Ajouter au panierEtat : New. 2019. 1st Edition. Hardback. . . . . .