Fuzzy modeling control systems (34 Ergebnisse)

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HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

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Taschenbuch. Zustand: Neu. Feasibility Of Fuzzy Logic Control For Steam Turbine Systems | Analysis, Modeling and Control | Ahmed Aboul Magd (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659232145 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

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Hardcover. Zustand: Brand New. 177 pages. 9.00x6.00x0.50 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on a particular domain of Type-2 Fuzzy Logic, related to process modeling and control applications. It deepens readers'understanding of Type-2 Fuzzy Logic with regard to the following three topics: using simpler methods to train a Type-2 Takagi-Sugeno Fuzzy Model; using the principles of Type-2 Fuzzy Logic to reduce the influence of modeling uncertainties on a locally linear n-step ahead predictor; and developing model-based control algorithms according to the Generalized Predictive Control principles using Type-2 Fuzzy Sets. Throughout the book, theory is always complemented with practical applications and readers are invited to take their learning process one step farther and implement their own applications using the algorithms' source codes (provided). As such, the book offers avaluable referenceguide for allengineers and researchers in the field ofcomputer science who are interested in intelligent systems, rule-based systems and modeling uncertainty.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on a particular domain of Type-2 Fuzzy Logic, related to process modeling and control applications. It deepens readers'understanding of Type-2 Fuzzy Logic with regard to the following three topics: using simpler methods to train a Type-2 Takagi-Sugeno Fuzzy Model; using the principles of Type-2 Fuzzy Logic to reduce the influence of modeling uncertainties on a locally linear n-step ahead predictor; and developing model-based control algorithms according to the Generalized Predictive Control principles using Type-2 Fuzzy Sets. Throughout the book, theory is always complemented with practical applications and readers are invited to take their learning process one step farther and implement their own applications using the algorithms' source codes (provided). As such, the book offers avaluable referenceguide for allengineers and researchers in the field ofcomputer science who are interested in intelligent systems, rule-based systems and modeling uncertainty. …

Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Zustand: New. 2019. 1st Edition. Hardback. . . . . . Books ship from the US and Ireland.

Gebunden. Zustand: New. &Uumlber den AutorWen Yu, PhD, is Professor at CINVESTAV-IPN (National Polytechnic Institute), Mexico City, Mexico. He is Associate Editor of IEEE Transactions on Cybernetics, Neurocomputing, and Journal of Intelli.

Buch. Zustand: Neu. Neuware - 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 andZ-Numberpresents 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 withZ-numbers, and the numerical solution of fuzzy differential equations withZ-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 equations - Includes an overview of uncertain nonlinear systems for non-specialists - Teaches readers to use simulation, modeling and verification skills valuable for scientific research and engineering systems development - Reinforces comprehension with illustrations, tables, examples, and simulations Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations andZ-Numberis 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.…

Zustand: New. In English.

Zustand: New. In English.

Paperback. Zustand: Brand New. reprint edition. 140 pages. 9.25x6.10x0.32 inches. In Stock.

Zustand: New. In English.

Zustand: New. In English.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on developing a comprehensive methodology for designing interval type-3 fuzzy systems. It includes the robustness analysis of general type-2 fuzzy systems and presents a systematic approach to designing an interval type-2 Takagi-Sugeno (T-S) fuzzy model-based (FMB) flight control system, specifically tailored for Generic Aircraft and UAVs. A novel concept is introduced, where flight envelope parameters are mapped to serve as premise variables in the IT2 T-S fuzzy system. Fuzzy system theory is widely regarded for its effectiveness in system modeling and control design. Fuzzy controllers offer robust performance, nonlinear modeling capabilities, and other advanced features that exceed the capabilities of traditional control methods. They are particularly suited for managing complex dynamical systems, which are often subject to noise, dynamic changes, and imprecise models. This book focuses upon the application of fuzzy systems in aircraft and UAVs.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Bringing together the two seemingly unrelated concepts,fuzzy logic andchaos theory,isprimarilymotivatedbytheconceptofsoft computing (SC),initiated by Lot A. Zadeh, the founder of fuzzy set theory. The principal constituents of SC are fuzzy logic (FL), neural network theory (NN) and probabilistic reasoning (PR), with the latter subsuming parts of belief networks, genetic algorithms, chaos theory and learning theory. What is important to note is that SC is not a melange of FL, NN and PR. Rather, it is an integration in which each of the partners contributes a distinct methodology for addressing problems in their common domain. In this perspective, the principal cont- butions of FL, NN and PR are complementary rather than competitive. SC di ers from conventional (hard) computing in that it is tolerant of imprecision, uncertainty and partial truth. In e ect, the role model for soft computing is the human mind. From the general SC concept, we extract FL and chaos theory as the object of this book to study their relationships or interactions. Over the past few decades, fuzzy systems technology and chaos theory have received ever increasing research interests from, respectively, systems and control engineers, theoretical and experimental physicists, applied ma- ematicians, physiologists, and other communities of researchers. Especially, as one of the emerging information processing technologies, fuzzy systems technology has achieved widespread applications around the globe in many industriesandtechnical elds,rangingfromcontrol,automation,andarti cial intelligence (AI) to image/signal processing and pattern recognition. On the otherhand,inengineeringsystemschaostheoryhasevolvedfrombeingsimply a curious phenomenon to one with real, practical signi cance andutilization.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Bringing together the two seemingly unrelated concepts,fuzzy logic andchaos theory,isprimarilymotivatedbytheconceptofsoft computing (SC),initiated by Lot A. Zadeh, the founder of fuzzy set theory. The principal constituents of SC are fuzzy logic (FL), neural network theory (NN) and probabilistic reasoning (PR), with the latter subsuming parts of belief networks, genetic algorithms, chaos theory and learning theory. What is important to note is that SC is not a melange of FL, NN and PR. Rather, it is an integration in which each of the partners contributes a distinct methodology for addressing problems in their common domain. In this perspective, the principal cont- butions of FL, NN and PR are complementary rather than competitive. SC di ers from conventional (hard) computing in that it is tolerant of imprecision, uncertainty and partial truth. In e ect, the role model for soft computing is the human mind. From the general SC concept, we extract FL and chaos theory as the object of this book to study their relationships or interactions. Over the past few decades, fuzzy systems technology and chaos theory have received ever increasing research interests from, respectively, systems and control engineers, theoretical and experimental physicists, applied ma- ematicians, physiologists, and other communities of researchers. Especially, as one of the emerging information processing technologies, fuzzy systems technology has achieved widespread applications around the globe in many industriesandtechnical elds,rangingfromcontrol,automation,andarti cial intelligence (AI) to image/signal processing and pattern recognition. On the otherhand,inengineeringsystemschaostheoryhasevolvedfrombeingsimply a curious phenomenon to one with real, practical signi cance andutilization.…

Taschenbuch. Zustand: Neu. Fuzzy Chaotic Systems | Modeling, Control, and Applications | Zhong Li | Taschenbuch | Studies in Fuzziness and Soft Computing | xii | Englisch | 2010 | Springer | EAN 9783642069796 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Hardcover. Zustand: Brand New. 140 pages. 6.14x0.38x9.21 inches. In Stock.

Hardcover. Zustand: Brand New. 1st edition. 299 pages. 9.50x6.25x0.75 inches. In Stock.

Paperback. Zustand: Brand New. 312 pages. 9.00x6.00x0.74 inches. In Stock.

Taschenbuch. Zustand: Neu. Fuzzy Systems | Modeling and Control | Hung T. Nguyen (u. a.) | Taschenbuch | The Handbooks of Fuzzy Sets | xxi | Englisch | 2012 | Springer | EAN 9781461375159 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Zustand: New. In English.