Introduction To Type 2 Fuzzy Logic Control

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Introduction To Type-2 Fuzzy Logic Control

Author : Jerry Mendel,Hani Hagras,Woei-Wan Tan,William W. Melek,Hao Ying
Publisher : John Wiley & Sons
Page : 376 pages
File Size : 42,5 Mb
Release : 2014-06-16
Category : Technology & Engineering
ISBN : 9781118901441

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Introduction To Type-2 Fuzzy Logic Control by Jerry Mendel,Hani Hagras,Woei-Wan Tan,William W. Melek,Hao Ying Pdf

An introductory book that provides theoretical, practical,and application coverage of the emerging field of type-2 fuzzylogic control Until recently, little was known about type-2 fuzzy controllersdue to the lack of basic calculation methods available for type-2fuzzy sets and logic—and many different aspects of type-2fuzzy control still needed to be investigated in order to advancethis new and powerful technology. This self-contained referencecovers everything readers need to know about the growing field. Written with an educational focus in mind, Introduction toType-2 Fuzzy Logic Control: Theory and Applications uses acoherent structure and uniform mathematical notations to linkchapters that are closely related, reflecting the book’scentral themes: analysis and design of type-2 fuzzy controlsystems. The book includes worked examples, experiment andsimulation results, and comprehensive reference materials. The bookalso offers downloadable computer programs from an associatedwebsite. Presented by world-class leaders in type-2 fuzzy logic control,Introduction to Type-2 Fuzzy Logic Control: Is useful for any technical person interested in learningtype-2 fuzzy control theory and its applications Offers experiment and simulation results via downloadablecomputer programs Features type-2 fuzzy logic background chapters to make thebook self-contained Provides an extensive literature survey on both fuzzy logic andrelated type-2 fuzzy control Introduction to Type-2 Fuzzy Logic Control is aneasy-to-read reference book suitable for engineers, researchers,and graduate students who want to gain deep insight into type-2fuzzy logic control.

Type-2 Fuzzy Logic in Intelligent Control Applications

Author : Oscar Castillo
Publisher : Springer Science & Business Media
Page : 187 pages
File Size : 50,5 Mb
Release : 2011-10-18
Category : Computers
ISBN : 9783642246623

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Type-2 Fuzzy Logic in Intelligent Control Applications by Oscar Castillo Pdf

We describe in this book, hybrid intelligent systems based mainly on type-2 fuzzy logic for intelligent control. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, and bio-inspired optimization algorithms, which can be used to produce powerful automatic control systems. The book is organized in three main parts, which contain a group of chapters around a similar subject. The first part consists of chapters with the main theme of theory and design algorithms, which are basically chapters that propose new models and concepts, which can be the basis for achieving intelligent control with interval type-2 fuzzy logic. The second part of the book is comprised of chapters with the main theme of evolutionary optimization of type-2 fuzzy systems in intelligent control with the aim of designing optimal type-2 fuzzy controllers for complex control problems in diverse areas of application, including mobile robotics, aircraft dynamics systems and hardware implementations. The third part of the book is formed with chapters dealing with the theme of bio-inspired optimization of type-2 fuzzy systems in intelligent control, which includes the application of particle swarm intelligence and ant colony optimization algorithms for obtaining optimal type-2 fuzzy controllers.

Type-2 Fuzzy Logic: Theory and Applications

Author : Oscar Castillo,Patricia Melin
Publisher : Springer Science & Business Media
Page : 252 pages
File Size : 52,9 Mb
Release : 2008-02-20
Category : Mathematics
ISBN : 9783540762836

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Type-2 Fuzzy Logic: Theory and Applications by Oscar Castillo,Patricia Melin Pdf

This book describes new methods for building intelligent systems using type-2 fuzzy logic and soft computing (SC) techniques. The authors extend the use of fuzzy logic to a higher order, which is called type-2 fuzzy logic. Combining type-2 fuzzy logic with traditional SC techniques, we can build powerful hybrid intelligent systems that can use the advantages that each technique offers. This book is intended to be a major reference tool and can be used as a textbook.

Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems

Author : Guanrong Chen,Trung Tat Pham
Publisher : CRC Press
Page : 328 pages
File Size : 50,8 Mb
Release : 2000-11-27
Category : Mathematics
ISBN : 9781420039818

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Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems by Guanrong Chen,Trung Tat Pham Pdf

In the early 1970s, fuzzy systems and fuzzy control theories added a new dimension to control systems engineering. From its beginnings as mostly heuristic and somewhat ad hoc, more recent and rigorous approaches to fuzzy control theory have helped make it an integral part of modern control theory and produced many exciting results. Yesterday's "art

Type-2 Fuzzy Logic and Systems

Author : Robert John,Hani Hagras,Oscar Castillo
Publisher : Springer
Page : 148 pages
File Size : 41,7 Mb
Release : 2018-02-07
Category : Technology & Engineering
ISBN : 9783319728926

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Type-2 Fuzzy Logic and Systems by Robert John,Hani Hagras,Oscar Castillo Pdf

This book explores recent perspectives on type-2 fuzzy sets. Written as a tribute to Professor Jerry Mendel for his pioneering works on type-2 fuzzy sets and systems, it covers a wide range of topics, including applications to the Go game, machine learning and pattern recognition, as well as type-2 fuzzy control and intelligent systems. The book is intended as a reference guide for the type-2 fuzzy logic community, yet it aims also at other communities dealing with similar methods and applications.

Recent Trends on Type-2 Fuzzy Logic Systems: Theory, Methodology and Applications

Author : Oscar Castillo,Anupam Kumar
Publisher : Springer Nature
Page : 272 pages
File Size : 41,9 Mb
Release : 2023-03-31
Category : Technology & Engineering
ISBN : 9783031263323

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Recent Trends on Type-2 Fuzzy Logic Systems: Theory, Methodology and Applications by Oscar Castillo,Anupam Kumar Pdf

This book covers the introduction, theory, development and applications of type-2 fuzzy logic systems, which represent the current state-of-the-art in various domains such as control applications, power plants, health care, image processing, mathematical applications etc. The book is also rich in discussing different applications in order to give the researchers a flavor of how type-2 fuzzy logic is designed for different types of problems. Type-2 fuzzy logic systems are now used extensively in engineering applications for many purposes. In simple language, this book covers the practical use of type-2 fuzzy logic and its optimization through different training methods. Furthermore, this book maintains the relationship between mathematics and practical implementations in the real world. This book chapter also contains the proper comparisons with available literature work. It shows that the presented enhanced techniques have better results. This book would serve as a handy reference guide for a variety of readers, primarily targeting research scholars, undergraduate and postgraduate researchers and practicing engineers working in Type-2 fuzzy logic systems and their applications.

An Introduction to Fuzzy Control

Author : Dimiter Driankov,Hans Hellendoorn,Michael Reinfrank
Publisher : Springer Science & Business Media
Page : 327 pages
File Size : 42,8 Mb
Release : 2013-03-09
Category : Technology & Engineering
ISBN : 9783662111314

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An Introduction to Fuzzy Control by Dimiter Driankov,Hans Hellendoorn,Michael Reinfrank Pdf

Fuzzy controllers are a class of knowledge based controllers using artificial intelligence techniques with origins in fuzzy logic to compute an appropriate control action. These fuzzy knowledge based controllers can be found either as stand-alone control elements or as integral parts of distributed control systems including conventional controllers in a wide range of industrial process control systems and consumer products. Applications of fuzzy controllers have become a well established practice for Japanese manufacturers of control equipment and systems, and are becoming more and more common for their European and American counterparts. The main aim of this book is to show that fuzzy control is not totally ad hoc, that there exist formal techniques for the analysis of a fuzzy controller, and that fuzzy control can be implemented even when no expert knowledge is available. Thus the book is mainly oriented toward control engineers and theorists rather than fuzzy and non-fuzzy AI people. However, parts can be read without any knowledge of control theory and may be of interest to AI people. The book has six chapters. Chapter 1 introduces two major classes of knowledge based systems for closedloop control. Chapter 2 introduces relevant parts of fuzzy set theory and fuzzy logic. Chapter 3 introduces the principal design parameters of a fuzzy knowledge based controller (FKBC) and discusses their relevance with respect to its performance. Chapter 4 considers an FKBC as a particular type of nonlinear controller. Chapter 5 considers tuning and adaptation of FKBCs, which are nonlinear and so can be designed to cope with a certain amount of nonlinearity. Chapter 6 considers several approaches for stability analysis of FKBCs in the context of classical nonlinear dynamic systems theory.

Type-2 Fuzzy Logic in Control of Nonsmooth Systems

Author : Oscar Castillo,Luis T. Aguilar
Publisher : Springer
Page : 122 pages
File Size : 46,8 Mb
Release : 2018-11-02
Category : Technology & Engineering
ISBN : 9783030031343

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Type-2 Fuzzy Logic in Control of Nonsmooth Systems by Oscar Castillo,Luis T. Aguilar Pdf

This book presents the synthesis and analysis of fuzzy controllers and its application to a class of mechanical systems. It mainly focuses on the use of type-2 fuzzy controllers to account for disturbances known as hard or nonsmooth nonlinearities. The book, which summarizes the authors’ research on type-2 fuzzy logic and control of mechanical systems, presents models, simulation and experiments towards the control of servomotors with dead-zone and Coulomb friction, and the control of both wheeled mobile robots and a biped robot. Closed-loop systems are analyzed in the framework of smooth and nonsmooth Lyapunov functions.

Introduction to Fuzzy Systems

Author : Guanrong Chen,Trung Tat Pham
Publisher : CRC Press
Page : 328 pages
File Size : 50,8 Mb
Release : 2005-11-16
Category : Computers
ISBN : 9781420057089

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Introduction to Fuzzy Systems by Guanrong Chen,Trung Tat Pham Pdf

Introduction to Fuzzy Systems provides students with a self-contained introduction that requires no preliminary knowledge of fuzzy mathematics and fuzzy control systems theory. Simplified and readily accessible, it encourages both classroom and self-directed learners to build a solid foundation in fuzzy systems. After introducing the subjec

Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm

Author : Leticia Amador,Oscar Castillo
Publisher : Springer
Page : 71 pages
File Size : 49,9 Mb
Release : 2017-04-27
Category : Technology & Engineering
ISBN : 9783319542959

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Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm by Leticia Amador,Oscar Castillo Pdf

This book focuses on the fields of fuzzy logic, bio-inspired algorithm; especially bee colony optimization algorithm and also considering the fuzzy control area. The main idea is that this areas together can to solve various control problems and to find better results. In this book we test the proposed method using two benchmark problems; the problem for filling a water tank and the problem for controlling the trajectory in an autonomous mobile robot. When Interval Type-2 Fuzzy Logic System is implemented to model the behavior of systems, the results show a better stabilization, because the analysis of uncertainty is better. For this reason we consider in this book the proposed method using fuzzy systems, fuzzy controllers, and bee colony optimization algorithm improve the behavior of the complex control problems.

Uncertain Rule-Based Fuzzy Systems

Author : Jerry M. Mendel
Publisher : Springer
Page : 684 pages
File Size : 42,6 Mb
Release : 2017-05-17
Category : Technology & Engineering
ISBN : 9783319513706

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Uncertain Rule-Based Fuzzy Systems by Jerry M. Mendel Pdf

The second edition of this textbook provides a fully updated approach to fuzzy sets and systems that can model uncertainty — i.e., “type-2” fuzzy sets and systems. The author demonstrates how to overcome the limitations of classical fuzzy sets and systems, enabling a wide range of applications from time-series forecasting to knowledge mining to control. In this new edition, a bottom-up approach is presented that begins by introducing classical (type-1) fuzzy sets and systems, and then explains how they can be modified to handle uncertainty. The author covers fuzzy rule-based systems – from type-1 to interval type-2 to general type-2 – in one volume. For hands-on experience, the book provides information on accessing MatLab and Java software to complement the content. The book features a full suite of classroom material.

Fuzzy Logic and Neural Networks for Hybrid Intelligent System Design

Author : Oscar Castillo,Patricia Melin
Publisher : Springer Nature
Page : 254 pages
File Size : 54,6 Mb
Release : 2023-01-27
Category : Technology & Engineering
ISBN : 9783031220425

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Fuzzy Logic and Neural Networks for Hybrid Intelligent System Design by Oscar Castillo,Patricia Melin Pdf

This book covers recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations. In addition, the above-mentioned methods are applied to areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Nowadays, the main topic of the book is highly relevant, as most current intelligent systems and devices in use utilize some form of intelligent feature to enhance their performance. In addition, on the theoretical side, new and advanced models and algorithms of type-2 and type-3 fuzzy logic are presented, which are of great interest to researchers working on these areas. Also, new nature-inspired optimization algorithms and innovative neural models are put forward in the manuscript, which are very popular subjects, at this moment. There are contributions on theoretical aspects as well as applications, which make the book very appealing to a wide audience, ranging from researchers to professors and graduate students.

Fifty Years of Fuzzy Logic and its Applications

Author : Dan E. Tamir,Naphtali D. Rishe,Abraham Kandel
Publisher : Springer
Page : 684 pages
File Size : 40,5 Mb
Release : 2015-05-23
Category : Technology & Engineering
ISBN : 9783319196831

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Fifty Years of Fuzzy Logic and its Applications by Dan E. Tamir,Naphtali D. Rishe,Abraham Kandel Pdf

This book presents a comprehensive report on the evolution of Fuzzy Logic since its formulation in Lotfi Zadeh’s seminal paper on “fuzzy sets,” published in 1965. In addition, it features a stimulating sampling from the broad field of research and development inspired by Zadeh’s paper. The chapters, written by pioneers and prominent scholars in the field, show how fuzzy sets have been successfully applied to artificial intelligence, control theory, inference, and reasoning. The book also reports on theoretical issues; features recent applications of Fuzzy Logic in the fields of neural networks, clustering, data mining and software testing; and highlights an important paradigm shift caused by Fuzzy Logic in the area of uncertainty management. Conceived by the editors as an academic celebration of the fifty years’ anniversary of the 1965 paper, this work is a must-have for students and researchers willing to get an inspiring picture of the potentialities, limitations, achievements and accomplishments of Fuzzy Logic-based systems.

Recent Advances in Interval Type-2 Fuzzy Systems

Author : Oscar Castillo,Patricia Melin
Publisher : Springer Science & Business Media
Page : 93 pages
File Size : 53,6 Mb
Release : 2012-04-23
Category : Technology & Engineering
ISBN : 9783642289569

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Recent Advances in Interval Type-2 Fuzzy Systems by Oscar Castillo,Patricia Melin Pdf

This book reviews current state of the art methods for building intelligent systems using type-2 fuzzy logic and bio-inspired optimization techniques. Combining type-2 fuzzy logic with optimization algorithms, powerful hybrid intelligent systems have been built using the advantages that each technique offers. This book is intended to be a reference for scientists and engineers interested in applying type-2 fuzzy logic for solving problems in pattern recognition, intelligent control, intelligent manufacturing, robotics and automation. This book can also be used as a reference for graduate courses like the following: soft computing, intelligent pattern recognition, computer vision, applied artificial intelligence, and similar ones. We consider that this book can also be used to get novel ideas for new lines of re-search, or to continue the lines of research proposed by the authors.

Classical and Modern Controls with Microcontrollers

Author : Ying Bai,Zvi S. Roth
Publisher : Springer
Page : 608 pages
File Size : 49,5 Mb
Release : 2018-12-13
Category : Technology & Engineering
ISBN : 9783030013820

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Classical and Modern Controls with Microcontrollers by Ying Bai,Zvi S. Roth Pdf

This book focuses on the design, implementation and applications of embedded systems and advanced industrial controls with microcontrollers. It combines classical and modern control theories as well as practical control programming codes to help readers learn control techniques easily and effectively. The book covers both linear and nonlinear control techniques to help readers understand modern control strategies. The author provides a detailed description of the practical considerations and applications in linear and nonlinear control systems. They concentrate on the ARM® Cortex®-M4 MCU system built by Texas InstrumentsTM called TM4C123GXL, in which two ARM® Cortex®-M4 MCUs, TM4C123GH6PM, are utilized. In order to help the reader develop and build application control software for a specified microcontroller unit. Readers can quickly develop and build their applications by using sample project codes provided in the book to access specified peripherals. The book enables readers to transfer from one interfacing protocol to another, even if they only have basic and fundamental understanding and basic knowledge of one interfacing function. Classical and Modern Controls with Microcontrollers is a powerful source of information for control and systems engineers looking to expand their programming knowledge of C, and of applications of embedded systems with microcontrollers. The book is a textbook for college students majored in CE, EE and ISE to learn and study classical and modern control technologies. The book can also be adopted as a reference book for professional programmers working in modern control fields or related to intelligent controls and embedded computing and applications. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.