Type 2 Fuzzy Logic In Intelligent Control Applications

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Type-2 Fuzzy Logic in Intelligent Control Applications

Oscar Castillo
Type 2 Fuzzy Logic in Intelligent Control Applications Book PDF

Author : Oscar Castillo
Publisher : Springer Science & Business Media
Page : 187 pages
File Size : 45,7 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 in Intelligent Control Applications

Oscar Castillo
Type 2 Fuzzy Logic in Intelligent Control Applications Book PDF

Author : Oscar Castillo
Publisher : Springer
Page : 190 pages
File Size : 43,9 Mb
Release : 2011-11-08
Category : Technology & Engineering
ISBN : 9783642246630

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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

Oscar Castillo,Patricia Melin
Type 2 Fuzzy Logic Theory and Applications Book PDF

Author : Oscar Castillo,Patricia Melin
Publisher : Springer Science & Business Media
Page : 252 pages
File Size : 49,6 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 Type-2 Fuzzy Logic Control

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

Author : Jerry Mendel,Hani Hagras,Woei-Wan Tan,William W. Melek,Hao Ying
Publisher : John Wiley & Sons
Page : 376 pages
File Size : 46,7 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.

Fuzzy Logic in Intelligent System Design

Patricia Melin,Oscar Castillo,Janusz Kacprzyk,Marek Reformat,William Melek
Fuzzy Logic in Intelligent System Design Book PDF

Author : Patricia Melin,Oscar Castillo,Janusz Kacprzyk,Marek Reformat,William Melek
Publisher : Springer
Page : 422 pages
File Size : 48,6 Mb
Release : 2017-09-30
Category : Technology & Engineering
ISBN : 9783319671376

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Fuzzy Logic in Intelligent System Design by Patricia Melin,Oscar Castillo,Janusz Kacprzyk,Marek Reformat,William Melek Pdf

This book describes recent advances in the use of fuzzy logic for the design of hybrid intelligent systems based on nature-inspired optimization and their applications in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Based on papers presented at the North American Fuzzy Information Processing Society Annual Conference (NAFIPS 2017), held in Cancun, Mexico from 16 to 18 October 2017, the book is divided into nine main parts, the first of which first addresses theoretical aspects, and proposes new concepts and algorithms based on type-1 fuzzy systems. The second part consists of papers on new concepts and algorithms for type-2 fuzzy systems, and on applications of type-2 fuzzy systems in diverse areas, such as time series prediction and pattern recognition. In turn, the third part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques describing new nature-inspired optimization algorithms that use fuzzy dynamic adaptation of parameters. The fourth part presents emergent intelligent models, which range from quantum algorithms to cellular automata. The fifth part explores applications of fuzzy logic in diverse areas of medicine, such as the diagnosis of hypertension and heart diseases. The sixth part describes new computational intelligence algorithms and their applications in different areas of intelligent control, while the seventh examines the use of fuzzy logic in different mathematic models. The eight part deals with a diverse range of applications of fuzzy logic, ranging from environmental to autonomous navigation, while the ninth covers theoretical concepts of fuzzy models

Intelligent Control

Clarence W. de Silva
Intelligent Control Book PDF

Author : Clarence W. de Silva
Publisher : CRC Press
Page : 218 pages
File Size : 51,8 Mb
Release : 2018-05-02
Category : Computers
ISBN : 9781351437684

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Intelligent Control by Clarence W. de Silva Pdf

The emergence of fuzzy logic and its applications has dramatically changed the face of industrial control engineering. Over the last two decades, fuzzy logic has allowed control engineers to meet and overcome the challenges of developing effective controllers for increasingly complex systems with poorly defined dynamics. Today's engineers need a working knowledge of the principles and techniques of fuzzy logic-Intelligent Control provides it. The author first introduces the traditional control techniques and contrasts them with intelligent control. He then presents several methods of representing and processing knowledge and introduces fuzzy logic as one such method. He highlights the advantages of fuzzy logic over other techniques, indicates its limitations, and describes in detail a hierarchical control structure appropriate for use in intelligent control systems. He introduces a variety of applications, most in the areas of robotics and mechatronics but with others including air conditioning and process/production control. One appendix provides discussion of some advanced analytical concepts of fuzzy logic, another describes a commercially available software system for developing fuzzy logic application. Intelligent Control is filled with worked examples, exercises, problems, and references. No prior knowledge of the subject nor advanced mathematics are needed to comprehend much of the book, making it well-suited as a senior undergraduate or first-year graduate text and a convenient reference tool for practicing professionals.

Type-3 Fuzzy Logic in Intelligent Control

Oscar Castillo,Patricia Melin
Type 3 Fuzzy Logic in Intelligent Control Book PDF

Author : Oscar Castillo,Patricia Melin
Publisher : Springer Nature
Page : 89 pages
File Size : 51,5 Mb
Release : 2023-12-17
Category : Technology & Engineering
ISBN : 9783031460883

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Type-3 Fuzzy Logic in Intelligent Control by Oscar Castillo,Patricia Melin Pdf

This book focuses on the field of type-3 fuzzy logic, also considering metaheuristics for applications in the control area. The main idea is that these areas together can solve various control problems and find better results. In this book, we test the proposed method using several benchmark problems, such as the problem for filling a water tank and the problem for controlling the trajectory in an autonomous mobile robot. We notice that when interval type-3 fuzzy systems are implemented to model the behavior of the systems, the results in control show a better stabilization, because the management of uncertainty is better. For this reason, we consider in this book the proposed method using type-3 fuzzy systems, fuzzy controllers, and metaheuristic algorithms to improve the control behavior of complex nonlinear plants. This book is intended to be a reference for scientists and engineers interested in applying type-3 fuzzy logic techniques for solving problems in intelligent control. We consider that this book can also be used to get novel ideas for new lines of research, or to continue the lines of research proposed by the authors of the book

Recent Advances in Interval Type-2 Fuzzy Systems

Oscar Castillo,Patricia Melin
Recent Advances in Interval Type 2 Fuzzy Systems Book PDF

Author : Oscar Castillo,Patricia Melin
Publisher : Springer Science & Business Media
Page : 93 pages
File Size : 55,7 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.

Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications

Oscar Castillo,Patricia Melin,Janusz Kacprzyk
Intuitionistic and Type 2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms Theory and Applications Book PDF

Author : Oscar Castillo,Patricia Melin,Janusz Kacprzyk
Publisher : Springer Nature
Page : 792 pages
File Size : 43,7 Mb
Release : 2020-02-27
Category : Technology & Engineering
ISBN : 9783030354459

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Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications by Oscar Castillo,Patricia Melin,Janusz Kacprzyk Pdf

This book describes the latest advances in fuzzy logic, neural networks, and optimization algorithms, as well as their hybrid intelligent combinations, and their applications in the areas such as intelligent control, robotics, pattern recognition, medical diagnosis, time series prediction, and optimization. The topic is highly relevant as most current intelligent systems and devices use some form of intelligent feature to enhance their performance. The book also presents new and advanced models and algorithms of type-2 fuzzy logic and intuitionistic fuzzy systems, which are of great interest to researchers in these areas. Further, it proposes novel, nature-inspired optimization algorithms and innovative neural models. Featuring contributions on theoretical aspects as well as applications, the book appeals to a wide audience.

Methods and Applications of Intelligent Control

S.G. Tzafestas
Methods and Applications of Intelligent Control Book PDF

Author : S.G. Tzafestas
Publisher : Springer Science & Business Media
Page : 573 pages
File Size : 48,6 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9789401154987

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Methods and Applications of Intelligent Control by S.G. Tzafestas Pdf

This book is concerned with Intelligent Control methods and applications. The field of intelligent control has been expanded very much during the recent years and a solid body of theoretical and practical results are now available. These results have been obtained through the synergetic fusion of concepts and techniques from a variety of fields such as automatic control, systems science, computer science, neurophysiology and operational research. Intelligent control systems have to perform anthropomorphic tasks fully autonomously or interactively with the human under known or unknown and uncertain environmental conditions. Therefore the basic components of any intelligent control system include cognition, perception, learning, sensing, planning, numeric and symbolic processing, fault detection/repair, reaction, and control action. These components must be linked in a systematic, synergetic and efficient way. Predecessors of intelligent control are adaptive control, self-organizing control, and learning control which are well documented in the literature. Typical application examples of intelligent controls are intelligent robotic systems, intelligent manufacturing systems, intelligent medical systems, and intelligent space teleoperators. Intelligent controllers must employ both quantitative and qualitative information and must be able to cope with severe temporal and spatial variations, in addition to the fundamental task of achieving the desired transient and steady-state performance. Of course the level of intelligence required in each particular application is a matter of discussion between the designers and users. The current literature on intelligent control is increasing, but the information is still available in a sparse and disorganized way.

Advanced Fuzzy Logic Technologies in Industrial Applications

Ying Bai,Hanqi Zhuang,Dali Wang
Advanced Fuzzy Logic Technologies in Industrial Applications Book PDF

Author : Ying Bai,Hanqi Zhuang,Dali Wang
Publisher : Springer Science & Business Media
Page : 342 pages
File Size : 46,7 Mb
Release : 2007-01-17
Category : Technology & Engineering
ISBN : 9781846284694

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Advanced Fuzzy Logic Technologies in Industrial Applications by Ying Bai,Hanqi Zhuang,Dali Wang Pdf

This book introduces a dynamic, on-line fuzzy inference system. In this system membership functions and control rules are not determined until the system is applied and each output of its lookup table is calculated based on current inputs. The book describes the real-world uses of new fuzzy techniques to simplify readers’ tuning processes and enhance the performance of their control systems. It further contains application examples.

Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control

Oscar Castillo,Patricia Ochoa,Jose Soria
Differential Evolution Algorithm with Type 2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control Book PDF

Author : Oscar Castillo,Patricia Ochoa,Jose Soria
Publisher : Springer Nature
Page : 66 pages
File Size : 51,5 Mb
Release : 2020-11-19
Category : Technology & Engineering
ISBN : 9783030621339

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Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control by Oscar Castillo,Patricia Ochoa,Jose Soria Pdf

This book focuses on the fields of fuzzy logic, bio-inspired algorithm, especially the differential evolution algorithm and also considering the fuzzy control area. The main idea is that these two areas together can help solve various control problems and to find better results. In this book, the authors test the proposed method using five benchmark control problems. First, the water tank, temperature, mobile robot, and inverted pendulum controllers are considered. For these 4 problems, experimentation was carried out using a Type-1 fuzzy system and an Interval Type-2 system. The last control problem was the D.C. motor, for which the experiments were performed with Type-1, Interval Type-2, and Generalized Type-2 fuzzy systems. When we use fuzzy systems combined with the differential evolution algorithm, we can notice that the results obtained in each of the controllers are better and with increasing uncertainty, the results are even better. For this reason, the authors consider in this book the proposed method using fuzzy systems and the differential evolution algorithm to improve the fuzzy controllers’ behavior in complex control problems.

Type-2 Fuzzy Logic: Theory and Applications

Oscar Castillo,Patricia Melin
Type 2 Fuzzy Logic Theory and Applications Book PDF

Author : Oscar Castillo,Patricia Melin
Publisher : Springer
Page : 244 pages
File Size : 49,7 Mb
Release : 2009-09-02
Category : Mathematics
ISBN : 3540845461

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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.

Type-2 Fuzzy Logic

Rómulo Antão
Type 2 Fuzzy Logic Book PDF

Author : Rómulo Antão
Publisher : Springer
Page : 130 pages
File Size : 54,9 Mb
Release : 2017-07-23
Category : Technology & Engineering
ISBN : 9789811046339

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Type-2 Fuzzy Logic by Rómulo Antão Pdf

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.

Fuzzy Systems

Fouad Sabry
Fuzzy Systems Book PDF

Author : Fouad Sabry
Publisher : One Billion Knowledgeable
Page : 132 pages
File Size : 51,9 Mb
Release : 2023-06-25
Category : Computers
ISBN : PKEY:6610000470167

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Fuzzy Systems by Fouad Sabry Pdf

What Is Fuzzy Systems Fuzzy logic is a mathematical system that analyzes analog input data in terms of logical variables that take on continuous values between 0 and 1, in contrast to classical or digital logic, which operates on discrete values of either 1 or 0. A fuzzy control system is a control system that is based on fuzzy logic. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Fuzzy Control System Chapter 2: Control Theory Chapter 3: Fuzzy Logic Chapter 4: Fuzzy Set Chapter 5: Control System Chapter 6: Intelligent Control Chapter 7: Defuzzification Chapter 8: Genetic Fuzzy Systems Chapter 9: Fuzzy Rule Chapter 10: Type-2 Fuzzy Sets and Systems (II) Answering the public top questions about fuzzy systems. (III) Real world examples for the usage of fuzzy systems in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of fuzzy systems' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of fuzzy systems.