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| Author | : Dimiter Driankov |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 327 |
| Release | : 2013-03-09 |
| Genre | : Technology & Engineering |
| ISBN | : 3662111314 |
Download An Introduction to Fuzzy Control Book in PDF, ePub and Kindle
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.
| Author | : Guanrong Chen |
| Publisher | : CRC Press |
| Total Pages | : 329 |
| Release | : 2000-11-27 |
| Genre | : Mathematics |
| ISBN | : 1420039814 |
Download Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems Book in PDF, ePub and Kindle
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
| Author | : Jerry Mendel |
| Publisher | : John Wiley & Sons |
| Total Pages | : 470 |
| Release | : 2014-06-16 |
| Genre | : Technology & Engineering |
| ISBN | : 1118901444 |
Download Introduction To Type-2 Fuzzy Logic Control Book in PDF, ePub and Kindle
An introductory book that provides theoretical, practical, and application coverage of the emerging field of type-2 fuzzy logic control Until recently, little was known about type-2 fuzzy controllers due to the lack of basic calculation methods available for type-2 fuzzy sets and logic—and many different aspects of type-2 fuzzy control still needed to be investigated in order to advance this new and powerful technology. This self-contained reference covers everything readers need to know about the growing field. Written with an educational focus in mind, Introduction to Type-2 Fuzzy Logic Control: Theory and Applications uses a coherent structure and uniform mathematical notations to link chapters that are closely related, reflecting the book’s central themes: analysis and design of type-2 fuzzy control systems. The book includes worked examples, experiment and simulation results, and comprehensive reference materials. The book also offers downloadable computer programs from an associated website. 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 learning type-2 fuzzy control theory and its applications Offers experiment and simulation results via downloadable computer programs Features type-2 fuzzy logic background chapters to make the book self-contained Provides an extensive literature survey on both fuzzy logic and related type-2 fuzzy control Introduction to Type-2 Fuzzy Logic Control is an easy-to-read reference book suitable for engineers, researchers, and graduate students who want to gain deep insight into type-2 fuzzy logic control.
| Author | : Ronald R. Yager |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 358 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 1461536405 |
Download An Introduction to Fuzzy Logic Applications in Intelligent Systems Book in PDF, ePub and Kindle
An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapters written by leading experts in the field of fuzzy sets. Each chapter addresses an area where fuzzy sets have been applied to situations broadly related to intelligent systems. The volume provides an introduction to and an overview of recent applications of fuzzy sets to various areas of intelligent systems. Its purpose is to provide information and easy access for people new to the field. The book also serves as an excellent reference for researchers in the field and those working in the specifics of systems development. People in computer science, especially those in artificial intelligence, knowledge-based systems, and intelligent systems will find this to be a valuable sourcebook. Engineers, particularly control engineers, will also have a strong interest in this book. Finally, the book will be of interest to researchers working in decision support systems, operations research, decision theory, management science and applied mathematics. An Introduction to Fuzzy Logic Applications in Intelligent Systems may also be used as an introductory text and, as such, it is tutorial in nature.
| Author | : James J. Buckley |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 287 |
| Release | : 2013-11-11 |
| Genre | : Computers |
| ISBN | : 3790817996 |
Download An Introduction to Fuzzy Logic and Fuzzy Sets Book in PDF, ePub and Kindle
This book is an excellent starting point for any curriculum in fuzzy systems fields such as computer science, mathematics, business/economics and engineering. It covers the basics leading to: fuzzy clustering, fuzzy pattern recognition, fuzzy database, fuzzy image processing, soft computing, fuzzy applications in operations research, fuzzy decision making, fuzzy rule based systems, fuzzy systems modeling, fuzzy mathematics. It is not a book designed for researchers - it is where you really learn the "basics" needed for any of the above-mentioned applications. It includes many figures and problem sets at the end of sections.
| Author | : Kazuo Tanaka |
| Publisher | : Springer |
| Total Pages | : 148 |
| Release | : 1996-12-01 |
| Genre | : Computers |
| ISBN | : 0387948074 |
Download An Introduction to Fuzzy Logic for Practical Applications Book in PDF, ePub and Kindle
Fuzzy logic has become an important tool for a number of different applications ranging from the control of engineering systems to artificial intelligence. In this concise introduction, the author presents a succinct guide to the basic ideas of fuzzy logic, fuzzy sets, fuzzy relations, and fuzzy reasoning, and shows how they may be applied. The book culminates in a chapter which describes fuzzy logic control: the design of intelligent control systems using fuzzy if-then rules which make use of human knowledge and experience to behave in a manner similar to a human controller. Throughout, the level of mathematical knowledge required is kept basic and the concepts are illustrated with numerous diagrams to aid in comprehension. As a result, all those curious to know more about fuzzy concepts and their real-world application will find this a good place to start.
| Author | : Enric Trillas |
| Publisher | : Springer |
| Total Pages | : 211 |
| Release | : 2015-01-12 |
| Genre | : Technology & Engineering |
| ISBN | : 3319142038 |
Download Fuzzy Logic Book in PDF, ePub and Kindle
This book introduces readers to fundamental concepts in fuzzy logic. It describes the necessary theoretical background and a number of basic mathematical models. Moreover, it makes them familiar with fuzzy control, an important topic in the engineering field. The book offers an unconventional introductory textbook on fuzzy logic, presenting theory together with examples and not always following the typical mathematical style of theorem-corollaries. Primarily intended to support engineers during their university studies, and to spark their curiosity about fuzzy logic and its applications, the book is also suitable for self-study, providing a valuable resource for engineers and professionals who deal with imprecision and non-random uncertainty in real-world applications.
| Author | : Kai Michels |
| Publisher | : Springer |
| Total Pages | : 417 |
| Release | : 2007-05-31 |
| Genre | : Computers |
| ISBN | : 354031766X |
Download Fuzzy Control Book in PDF, ePub and Kindle
This book provides a critical discussion of fuzzy controllers from the perspective of classical control theory. Special emphasis is placed on topics of importance for industrial applications, including self-tuning of fuzzy controllers, optimisation and stability analysis. The text begins with a detailed introduction to fuzzy systems and control theory, and guides the reader to a thorough understanding of up-to-date research results.
| Author | : John H. Lilly |
| Publisher | : John Wiley & Sons |
| Total Pages | : 199 |
| Release | : 2011-03-10 |
| Genre | : Technology & Engineering |
| ISBN | : 1118097815 |
Download Fuzzy Control and Identification Book in PDF, ePub and Kindle
This book gives an introduction to basic fuzzy logic and Mamdani and Takagi-Sugeno fuzzy systems. The text shows how these can be used to control complex nonlinear engineering systems, while also also suggesting several approaches to modeling of complex engineering systems with unknown models. Finally, fuzzy modeling and control methods are combined in the book, to create adaptive fuzzy controllers, ending with an example of an obstacle-avoidance controller for an autonomous vehicle using modus ponendo tollens logic.
| Author | : Dimiter Driankov |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 329 |
| Release | : 2013-06-29 |
| Genre | : Computers |
| ISBN | : 3662032848 |
Download An Introduction to Fuzzy Control Book in PDF, ePub and Kindle
Fuzzy controllers are a class of knowledge based controllers using artificial intelligence techniques with origins in fuzzy logic. They can be found either as stand-alone control elements or as integral parts of a wide range of industrial process control systems and consumer products. Applications of fuzzy controllers are an established practice for Japanese manufacturers, and are spreading in Europe and America. 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. The book is mainly oriented to control engineers and theorists, although parts can be read without any knowledge of control theory and may interest AI people. This 2nd, revised edition incorporates suggestions from numerous reviewers and updates and reorganizes some of the material.
