Differential Evolution Algorithm With Type 2 Fuzzy Logic For Dynamic Parameter Adaptation With Application To Intelligent Control

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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 : 40,6 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-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 : 54,7 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

General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm

Fevrier Valdez,Cinthia Peraza,Oscar Castillo
General Type 2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm Book PDF

Author : Fevrier Valdez,Cinthia Peraza,Oscar Castillo
Publisher : Springer Nature
Page : 86 pages
File Size : 51,9 Mb
Release : 2020-03-27
Category : Technology & Engineering
ISBN : 9783030439507

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General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm by Fevrier Valdez,Cinthia Peraza,Oscar Castillo Pdf

This book focuses on the fields of fuzzy logic and metaheuristic algorithms, particularly the harmony search algorithm and fuzzy control. There are currently several types of metaheuristics used to solve a range of real-world of problems, and these metaheuristics contain parameters that are usually fixed throughout the iterations. However, a number of techniques are also available that dynamically adjust the parameters of an algorithm, such as probabilistic fuzzy logic. This book proposes a method of addressing the problem of parameter adaptation in the original harmony search algorithm using type-1, interval type-2 and generalized type-2 fuzzy logic. The authors applied this methodology to the resolution of problems of classical benchmark mathematical functions, CEC 2015, CEC2017 functions and to the optimization of various fuzzy logic control cases, and tested the method using six benchmark control problems – four of the Mamdani type: the problem of filling a water tank, the problem of controlling the temperature of a shower, the problem of controlling the trajectory of an autonomous mobile robot and the problem of controlling the speed of an engine; and two of the Sugeno type: the problem of controlling the balance of a bar and ball, and the problem of controlling control the balance of an inverted pendulum. When the interval type-2 fuzzy logic system is used to model the behavior of the systems, the results show better stabilization because the uncertainty analysis is better. As such, the authors conclude that the proposed method, based on fuzzy systems, fuzzy controllers and the harmony search optimization algorithm, improves the behavior of complex control plants.

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 : 48,8 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

Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

Oscar Castillo,Patricia Melin
Hybrid Intelligent Systems in Control Pattern Recognition and Medicine Book PDF

Author : Oscar Castillo,Patricia Melin
Publisher : Springer Nature
Page : 354 pages
File Size : 49,5 Mb
Release : 2019-11-23
Category : Technology & Engineering
ISBN : 9783030341350

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine by Oscar Castillo,Patricia Melin Pdf

This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their applications in areas such as: intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems. The book is divided into five main parts. The first part proposes new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications; the second explores new concepts and algorithms in neural networks and fuzzy logic applied to recognition. The third part examines the theory and practice of meta-heuristics in various areas of application, while the fourth highlights diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical contexts. Finally, the fifth part focuses on applications of fuzzy logic, neural networks and meta-heuristics to robotics problems.

Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications

Oscar Castillo,Patricia Melin,Janusz Kacprzyk
Fuzzy Logic Augmentation of Neural and Optimization Algorithms Theoretical Aspects and Real Applications Book PDF

Author : Oscar Castillo,Patricia Melin,Janusz Kacprzyk
Publisher : Springer
Page : 546 pages
File Size : 48,9 Mb
Release : 2018-01-10
Category : Technology & Engineering
ISBN : 9783319710082

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Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications by Oscar Castillo,Patricia Melin,Janusz Kacprzyk Pdf

This book comprises papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics and their application in various areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book is organized into seven main parts, each with a collection of papers on a similar subject. The first part presents new concepts and algorithms based on type-2 fuzzy logic for dynamic parameter adaptation in meta-heuristics. The second part discusses network theory and applications, and includes papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The third part addresses the theory and practice of meta-heuristics in different areas of application, while the fourth part describes diverse fuzzy logic applications in the control area, which can be considered as intelligent controllers. The next two parts explore applications in areas, such as time series prediction, and pattern recognition and new optimization and evolutionary algorithms and their applications respectively. Lastly, the seventh part addresses the design and application of different hybrid intelligent systems.

Fuzzy Techniques: Theory and Applications

Ralph Baker Kearfott,Ildar Batyrshin,Marek Reformat,Martine Ceberio,Vladik Kreinovich
Fuzzy Techniques Theory and Applications Book PDF

Author : Ralph Baker Kearfott,Ildar Batyrshin,Marek Reformat,Martine Ceberio,Vladik Kreinovich
Publisher : Springer
Page : 823 pages
File Size : 42,8 Mb
Release : 2019-06-10
Category : Technology & Engineering
ISBN : 9783030219208

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Fuzzy Techniques: Theory and Applications by Ralph Baker Kearfott,Ildar Batyrshin,Marek Reformat,Martine Ceberio,Vladik Kreinovich Pdf

This book describes the latest findings related to fuzzy techniques, discussing applications in control, economics, education, humor studies, industrial engineering, linguistics, management, marketing, medicine and public health, military engineering, robotics, ship design, sports, transportation, and many other areas. It also presents recent fuzzy-related algorithms and theoretical results that can be used in other application areas. Featuring selected papers from the Joint World Congress of the International Fuzzy Systems Association (IFSA) and the Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) IFSA-NAFIPS’2019, held in Lafayette, Louisiana, USA, on June 18–21, 2019, the book is of interest to practitioners wanting to use fuzzy techniques to process imprecise expert knowledge. It is also a valuable resource for researchers wishing to extend the ideas from these papers to new application areas, for graduate students and for anyone else interested in problems involving fuzziness and uncertainty.

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 : 53,8 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.

Advanced Control Techniques in Complex Engineering Systems: Theory and Applications

Yuriy P. Kondratenko,Arkadii A. Chikrii,Vyacheslav F. Gubarev,Janusz Kacprzyk
Advanced Control Techniques in Complex Engineering Systems Theory and Applications Book PDF

Author : Yuriy P. Kondratenko,Arkadii A. Chikrii,Vyacheslav F. Gubarev,Janusz Kacprzyk
Publisher : Springer
Page : 337 pages
File Size : 51,5 Mb
Release : 2019-05-24
Category : Technology & Engineering
ISBN : 9783030219277

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Advanced Control Techniques in Complex Engineering Systems: Theory and Applications by Yuriy P. Kondratenko,Arkadii A. Chikrii,Vyacheslav F. Gubarev,Janusz Kacprzyk Pdf

This book presents an authoritative collection of contributions by researchers from 16 different countries (Austria, Chile, Georgia, Germany, Mexico, Norway, P.R. of China, Poland, North Macedonia, Romania, Russia, Spain, Turkey, Ukraine, the United Kingdom and United States) that report on recent developments and new directions in advanced control systems, together with new theoretical findings, industrial applications and case studies on complex engineering systems. This book is dedicated to Professor Vsevolod Mykhailovych Kuntsevich, an Academician of the National Academy of Sciences of Ukraine, and President of the National Committee of the Ukrainian Association on Automatic Control, in recognition of his pioneering works, his great scientific and scholarly achievements, and his years of service to many scientific and professional communities, notably those involved in automation, cybernetics, control, management and, more specifically, the fundamentals and applications of tools and techniques for dealing with uncertain information, robustness, non-linearity, extremal systems, discrete control systems, adaptive control systems and others. Covering essential theories, methods and new challenges in control systems design, the book is not only a timely reference guide but also a source of new ideas and inspirations for graduate students and researchers alike. Its 15 chapters are grouped into four sections: (a) fundamental theoretical issues in complex engineering systems, (b) artificial intelligence and soft computing for control and decision-making systems, (c) advanced control techniques for industrial and collaborative automation, and (d) modern applications for management and information processing in complex systems. All chapters are intended to provide an easy-to-follow introduction to the topics addressed, including the most relevant references. At the same time, they reflect various aspects of the latest research work being conducted around the world and, therefore, provide information on the state of the art.

Complex Systems: Spanning Control and Computational Cybernetics: Applications

Peng Shi,Jovan Stefanovski,Janusz Kacprzyk
Complex Systems Spanning Control and Computational Cybernetics Applications Book PDF

Author : Peng Shi,Jovan Stefanovski,Janusz Kacprzyk
Publisher : Springer Nature
Page : 551 pages
File Size : 45,8 Mb
Release : 2022-09-18
Category : Technology & Engineering
ISBN : 9783031009785

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Complex Systems: Spanning Control and Computational Cybernetics: Applications by Peng Shi,Jovan Stefanovski,Janusz Kacprzyk Pdf

This book, dedicated to Professor Georgi M. Dimirovski on his anniversary, contains new research directions, challenges, and many relevant applications related to many aspects within the broadly perceived areas of systems and control, including signal analysis and intelligent systems. The project comprises two volumes with papers written by well known and very active researchers and practitioners. The first volume is focused on more foundational aspects related to general issues in systems science and mathematical systems, various problems in control and automation, and the use of computational and artificial intelligence in the context of systems modeling and control. The second volume is concerned with a presentation of relevant applications, notably in robotics, computer networks, telecommunication, fault detection/diagnosis, as well as in biology and medicine, and economic, financial, and social systems too.

Recent Advances of Hybrid Intelligent Systems Based on Soft Computing

Patricia Melin,Oscar Castillo,Janusz Kacprzyk
Recent Advances of Hybrid Intelligent Systems Based on Soft Computing Book PDF

Author : Patricia Melin,Oscar Castillo,Janusz Kacprzyk
Publisher : Springer Nature
Page : 341 pages
File Size : 47,5 Mb
Release : 2020-11-06
Category : Technology & Engineering
ISBN : 9783030587284

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Recent Advances of Hybrid Intelligent Systems Based on Soft Computing by Patricia Melin,Oscar Castillo,Janusz Kacprzyk Pdf

This book describes recent advances on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book contains a collection of papers focused on hybrid intelligent systems based on soft computing. There are some papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications. There are also some papers that present theory and practice of meta-heuristics in different areas of application. Another group of papers describes diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical applications. There are also some papers that present theory and practice of neural networks in different areas of application. In addition, there are papers that present theory and practice of optimization and evolutionary algorithms in different areas of application. Finally, there are some papers describing applications of fuzzy logic, neural networks and meta-heuristics in pattern recognition problems.

Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation

Cengiz Kahraman,Selcuk Cebi,Sezi Cevik Onar,Basar Oztaysi,A. Cagri Tolga,Irem Ucal Sari
Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation Book PDF

Author : Cengiz Kahraman,Selcuk Cebi,Sezi Cevik Onar,Basar Oztaysi,A. Cagri Tolga,Irem Ucal Sari
Publisher : Springer Nature
Page : 954 pages
File Size : 40,8 Mb
Release : 2021-08-23
Category : Technology & Engineering
ISBN : 9783030856267

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Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation by Cengiz Kahraman,Selcuk Cebi,Sezi Cevik Onar,Basar Oztaysi,A. Cagri Tolga,Irem Ucal Sari Pdf

This book presents recent research in intelligent and fuzzy techniques. Emerging conditions such as pandemic, wars, natural disasters and various high technologies force people for significant changes in business and social life. The adoption of digital technologies to transform services or businesses, through replacing non-digital or manual processes with digital processes or replacing older digital technology with newer digital technologies through intelligent systems is the main scope of this book. It focuses on revealing the reflection of digital transformation in our business and social life under emerging conditions through intelligent and fuzzy systems. The latest intelligent and fuzzy methods and techniques on digital transformation are introduced by theory and applications. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc. and Ph.D. students studying digital transformation. Usage of ordinary fuzzy sets and their extensions, heuristics and metaheuristics from optimization to machine learning, from quality management to risk management makes the book an excellent source for researchers.

Advances in Soft Computing

Ildar Batyrshin,María de Lourdes Martínez-Villaseñor,Hiram Eredín Ponce Espinosa
Advances in Soft Computing Book PDF

Author : Ildar Batyrshin,María de Lourdes Martínez-Villaseñor,Hiram Eredín Ponce Espinosa
Publisher : Springer
Page : 454 pages
File Size : 50,5 Mb
Release : 2019-01-02
Category : Computers
ISBN : 9783030044916

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Advances in Soft Computing by Ildar Batyrshin,María de Lourdes Martínez-Villaseñor,Hiram Eredín Ponce Espinosa Pdf

The two-volume set LNAI 11288 and 11289 constitutes the proceedings of the 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, held in Guadalajara, Mexico, in October 2018. The total of 62 papers presented in these two volumes was carefully reviewed and selected from 149 submissions. The contributions are organized in topical as follows: Part I: evolutionary and nature-inspired intelligence; machine learning; fuzzy logic and uncertainty management. Part II: knowledge representation, reasoning, and optimization; natural language processing; and robotics and computer vision.

Intelligent and Fuzzy Systems

Cengiz Kahraman,Irem Ucal Sari,Basar Oztaysi,Selcuk Cebi,Sezi Cevik Onar,A. Çağrı Tolga
Intelligent and Fuzzy Systems Book PDF

Author : Cengiz Kahraman,Irem Ucal Sari,Basar Oztaysi,Selcuk Cebi,Sezi Cevik Onar,A. Çağrı Tolga
Publisher : Springer Nature
Page : 833 pages
File Size : 42,9 Mb
Release : 2023-08-16
Category : Technology & Engineering
ISBN : 9783031397745

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Intelligent and Fuzzy Systems by Cengiz Kahraman,Irem Ucal Sari,Basar Oztaysi,Selcuk Cebi,Sezi Cevik Onar,A. Çağrı Tolga Pdf

This book consists of the papers accepted after a careful review process at an international scientific meeting where the latest developments on intelligent and fuzzy systems are presented and discussed. The latest developments in both the theoretical and practical fields of the new fuzzy set extensions have been prepared by expert researchers. Contributed by participants from more than 40 different countries, this book is also a useful resource in terms of showing the levels that fuzzy and intelligent systems have reached in various countries of the world. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc., and Ph.D. students studying fuzzy sets and artificial intelligence. The book covers fuzzy logic theory and applications, heuristics, and metaheuristics from optimization to machine learning, from quality management to risk management, making the book an excellent source for researchers.

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

Oscar Castillo,Anupam Kumar
Recent Trends on Type 2 Fuzzy Logic Systems Theory Methodology and Applications Book PDF

Author : Oscar Castillo,Anupam Kumar
Publisher : Springer Nature
Page : 272 pages
File Size : 49,5 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.