Last edited by Maugis
Wednesday, May 13, 2020 | History

3 edition of Fuzzy Control and Modeling found in the catalog.

Fuzzy Control and Modeling

Analytical Foundations and Applications (IEEE Press Series on Biomedical Engineering)

by Hao Ying

  • 63 Want to read
  • 25 Currently reading

Published by Wiley-IEEE Press .
Written in English

    Subjects:
  • Applications of Computing,
  • Automatic control engineering,
  • Technology,
  • Fuzzy systems,
  • Automation,
  • Fuzzy Sets,
  • Medical / Nursing,
  • Set Theory,
  • Science/Mathematics,
  • Mathematical models,
  • Allied Health Services - Medical Technology,
  • Engineering - Electrical & Electronic,
  • Technology / General,
  • Mathematics,
  • Engineering - Mechanical,
  • Automatic control

  • The Physical Object
    FormatHardcover
    Number of Pages342
    ID Numbers
    Open LibraryOL8082968M
    ISBN 100780334973
    ISBN 109780780334977

    Essentials. of Fuzzy Modeling and Control, on its back cover, presents itself as the only comprehensive guide in the field: it "gives you all the concepts, tools, and techniques for fuzzy con- trol and modeling in one volume. The book follows a logical. Fuzzy Logic. Different logic control systems are used. An example is the fuzzy logic control (FLC) that provides a way of expressing non-probabilistic uncertainties. Fuzzy theory has developed and found application in database management, operations analysis, decision support systems, signal processing, data classifications, computer vision, etc.

    Neuro-fuzzy modeling and control Abstract: Fundamental and advanced developments in neuro-fuzzy synergisms for modeling and control are reviewed. The essential part of neuro-fuzzy synergisms comes from a common framework called adaptive networks, which unifies both Cited by: The book is written for the process or control engineer that is familiar with traditional control but has little or no experience in designing, installing, commissioning and maintaining advanced control applications. Each chapter of the book is structured to allow a person to .

      Fuzzy Modeling for Control by Robert Babuska, , available at Book Depository with free delivery worldwide.4/5(1).   Decision making and control are two fields with distinct methods for solving problems, and yet they are closely related. This book bridges the gap between decision making and control in the field of fuzzy decisions and fuzzy control, and discusses various ways in which fuzzy decision making methods can be applied to systems modeling and decision making is a/5(3).


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Fuzzy Control and Modeling by Hao Ying Download PDF EPUB FB2

This book presents the first unified and thorough treatment of fuzzy modeling and fuzzy control, providing necessary tools for the control of complex nonlinear systems. Based on three types of fuzzy models―the Mamdani fuzzy model, the Takagi–Sugeno fuzzy model, and the fuzzy hyperbolic model―the book addresses a number of important issues Cited by: Nevertheless, compared with the conventional control technology, most fuzzy control applications are developed in an ad hoc manner with little analytical understanding and without rigorous system analysis and Control and Modeling is the only book that establishes the analytical foundations for fuzzy control and modeling in relation.

Fuzzy Control and Modeling is the only book that establishes the analytical foundations for fuzzy control and modeling in relation to the conventional linear and nonlinear theories of control and systems.

The coverage is up-to-date, comprehensive, in-depth and rigorous. Numeric examples and applications illustrate the utility of the theoretical Cited by: This book presents a systematic framework targeting at fuzzy modeling and fuzzy control of nonlinear systems with uncertainties.

The book is organized into three major parts incorporating 13 : Haibo He. Essentials of Fuzzy Modeling and Control as a valuable enrich- ment for every fuzzy book shelf since the benefits of the book exceed by far the above mentioned rather minor objections.

This book compiles the developments of researchers with demonstrated experience in the field of fuzzy control following a logic structure and a unified the style.

The first chapters of the book are dedicated to the introduction of the main fuzzy logic techniques, where. could call the “heuristic approach to fuzzy control” as opposed to the more recent mathematical focus on fuzzy control where stability analysis is a major theme.

In Chapter 1 we provide an overview of the general methodology for conven-tional control system design. Then we summarize the fuzzy control system design process and contrast the two. Based on three types of fuzzy models—the Mamdani fuzzy model, the Takagi–Sugeno fuzzy model, and the fuzzy hyperbolic model—the book addresses a number of important issues in fuzzy control systems, including fuzzy modeling, fuzzy inference, stability analysis, systematic design frameworks, robustness, and.

This book presents the first unified and thorough treatment of fuzzy modeling and fuzzy control, providing necessary tools for the control of complex nonlinear systems. Based on three types of fuzzy models—the Mamdani fuzzy model, the Takagi–Sugeno fuzzy model, and the fuzzy hyperbolic model—the book addresses a number of important issues.

Application areas of fuzzy models include prediction, decision support, system analysis, control design, etc. Fuzzy Modeling for Control addresses fuzzy modeling from the systems and control engineering points of view. It focuses on the selection of appropriate model structures, on the acquisition of dynamic fuzzy models from process Author: Robert Babuska.

Application areas of fuzzy models include prediction, decision support, system analysis, control design, etc. Fuzzy Modeling for Control addresses fuzzy modeling from the systems and control engineering points of view.

It focuses on the selection of appropriate model structures, on the acquisition of dynamic fuzzy models from process. Delve into the type-2 fuzzy logic systems and become engrossed in the parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis with this book.

Not only does this book stand apart from others in its focus but also in its application-based presentation style. Get this from a library. Fuzzy modeling and control. [Andrzej Piegat] -- "The book provides the reader with an advanced introduction to the problems of fuzzy modeling and to one of its most important applications, fuzzy control.

It is based on the latest and most. Fuzzy Modeling for Control addresses fuzzy modeling from the systems and control engineering point of view. It focuses on the selection of appropriate model structures, on the acquisition of dynamic fuzzy models from process measurements (fuzzy identification), and on the design of nonlinear controllers based on fuzzy models.

This is the first unified treatment of fuzzy modeling and fuzzy control, providing tools for control of complex nonlinear systems. Coverage includes model complexity, precision, and computing time. The book is useful for electrical, computer, chemical, mechanical and aeronautical engineers.

The book is divided into two parts. The first part contains an extensive presentation of the theory of fuzzy modeling.

The second part presents selected applications in three important areas: control and decision-making, image processing, and time series analysis and forecasting.

The authors address the consistent and appropriate treatment of. Fuzzy Control and Modeling is the only book that establishes the analytical foundations for fuzzy control and modeling in relation to the conventional linear and nonlinear theories of control and systems. The coverage is up-to-date, comprehensive, in-depth and : $ 1.

Fuzzy Modeling and Control of PV Generators 2. Fuzzy Modeling and Control of Wind Power 3. Fuzzy Modeling and Control Energy Storage Systems 4. Centralized Fuzzy Control 5. Decentralized Fuzzy Control buted Fuzzy Control 7. Operation of Microgrid zation of Microgrid Control with Network-Induced Delay Control r Optimal Fuzzy Controller Design r Appendix to Chapter 6 r References r 7 ROBUST-OPTIMAL FUZZY CONTROL Robust-Optimal Fuzzy Control Problem r Design Example: TORA r References r 8 TRAJECTORY CONTROL OF A VEHICLE WITH MULTIPLE TRAILERS Fuzzy Modeling of a Vehicle with Triple-Trailers r The purpose of the Journal of Fuzzy Logic and Modeling in Engineering is to publish recent advancements in the theory of fuzzy sets and disseminate the results of these advancements.

The journal focuses on the disciplines of industrial engineering, control engineering, computer science, electrical engineering, mechanical engineering, civil. This collection compiles the seminal contributions of Michio Sugeno on fuzzy systems and technologies. Fuzzy Modeling & Control: Selected Works of Sugeno serves as a singular resource that provides a clear, comprehensive treatment of fuzzy control systems.

The book comprises two parts. fuzzy system identification and modeling. systems control. Fuzzy Modeling and Control: Theory and Applications. by. Atlantis Computational Intelligence Systems (Book 9) Thanks for Sharing! You submitted the following rating and review.

We'll publish them on our site once we've reviewed : Atlantis Press.The second edition of this book provides extensively updated coverage of fuzzy control and fuzzy systems. Particular emphasis is placed on the role of fuzzy sets in control engineering, to provide flexible control algorithms.

Significant new material is included. The author first provides information on fuzzy sets and the concept of fuzzy control.