A Course in Fuzzy Systems and Control
| Author | : Li-Xin Wang |
| Publisher | : Prentice Hall |
| Total Pages | : 460 |
| Release | : 1997 |
| Genre | : Computers |
| ISBN | : |
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A First Course in Fuzzy and Neural Control
| Author | : Hung T. Nguyen |
| Publisher | : CRC Press |
| Total Pages | : 314 |
| Release | : 2002-11-12 |
| Genre | : Mathematics |
| ISBN | : 1420035525 |
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Although the use of fuzzy control methods has grown nearly to the level of classical control, the true understanding of fuzzy control lags seriously behind. Moreover, most engineers are well versed in either traditional control or in fuzzy control-rarely both. Each has applications for which it is better suited, but without a good understanding of
Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems
| Author | : Guanrong Chen |
| Publisher | : CRC Press |
| Total Pages | : 329 |
| Release | : 2000-11-27 |
| Genre | : Mathematics |
| ISBN | : 1420039814 |
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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
Fuzzy Control and Identification
| Author | : John H. Lilly |
| Publisher | : John Wiley & Sons |
| Total Pages | : 199 |
| Release | : 2011-03-10 |
| Genre | : Technology & Engineering |
| ISBN | : 1118097815 |
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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.
Introduction to Fuzzy Systems
| Author | : Guanrong Chen |
| Publisher | : CRC Press |
| Total Pages | : 328 |
| Release | : 2005-11-16 |
| Genre | : Computers |
| ISBN | : 1420057081 |
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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
Fuzzy Control of Industrial Systems
| Author | : Ian S. Shaw |
| Publisher | : Springer |
| Total Pages | : 205 |
| Release | : 2013-12-20 |
| Genre | : Mathematics |
| ISBN | : 1475728131 |
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Fuzzy Control of Industrial Systems: Theory and Applications presents the basic theoretical framework of crisp and fuzzy set theory, relating these concepts to control engineering based on the analogy between the Laplace transfer function of linear systems and the fuzzy relation of a nonlinear fuzzy system. Included are generic aspects of fuzzy systems with an emphasis on the many degrees of freedom and its practical design implications, modeling and systems identification techniques based on fuzzy rules, parametrized rules and relational equations, and the principles of adaptive fuzzy and neurofuzzy systems. Practical design aspects of fuzzy controllers are covered by the detailed treatment of fuzzy and neurofuzzy software design tools with an emphasis on iterative fuzzy tuning, while novel stability limit testing methods and the definition and practical examples of the new concept of collaborative control systems are also given. In addition, case studies of successful applications in industrial automation, process control, electric power technology, electric traction, traffic engineering, wastewater treatment, manufacturing, mineral processing and automotive engineering are also presented, in order to assist industrial control systems engineers in recognizing situations when fuzzy and neurofuzzy would offer certain advantages over traditional methods, particularly in controlling highly nonlinear and time-variant plants and processes.
First Course on Fuzzy Theory and Applications
| Author | : Kwang Hyung Lee |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 341 |
| Release | : 2006-11-30 |
| Genre | : Computers |
| ISBN | : 354032366X |
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Fuzzy theory has become a subject that generates much interest among the courses for graduate students. However, it was not easy to find a suitable textbook to use in the introductory course and to recommend to the students who want to self-study. The main purpose of this book is just to meet that need. The author has given lectures on the fuzzy theory and its applications for ten years and continuously developed lecture notes on the subject. This book is a publication of the modification and summary of the lecture notes. The fundamental idea of the book is to provide basic and concrete concepts of the fuzzy theory and its applications, and thus the author focused on easy illustrations of the basic concepts. There are numerous examples and figures to help readers to understand and also added exercises at the end of each chapter. This book consists of two parts: a theory part and an application part. The first part (theory part) includes chapters from 1 to 8. Chapters 1 and 2 introduce basic concepts of fuzzy sets and operations, and Chapters 3 and 4 deal with the multi-dimensional fuzzy sets. Chapters 5 and 6 are extensions of the fuzzy theory to the number and function, and Chapters 7 and 8 are developments of fuzzy properties on the probability and logic theories.
Fuzzy Logic
| Author | : Enric Trillas |
| Publisher | : Springer |
| Total Pages | : 211 |
| Release | : 2015-01-12 |
| Genre | : Technology & Engineering |
| ISBN | : 3319142038 |
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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.
Adaptive Fuzzy Systems and Control
| Author | : Li-Xin Wang |
| Publisher | : Prentice Hall |
| Total Pages | : 262 |
| Release | : 1994 |
| Genre | : Computers |
| ISBN | : |
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This volume develops a variety of adaptive fuzzy systems and applies them to a variety of engineering problems. It summarizes the state-of-the-art methods for automatic tuning of the parameters and structures of fuzzy logic systems.
Fuzzy Systems
| Author | : Hung T. Nguyen |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 532 |
| Release | : 2012-12-06 |
| Genre | : Mathematics |
| ISBN | : 1461555051 |
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The analysis and control of complex systems have been the main motivation for the emergence of fuzzy set theory since its inception. It is also a major research field where many applications, especially industrial ones, have made fuzzy logic famous. This unique handbook is devoted to an extensive, organized, and up-to-date presentation of fuzzy systems engineering methods. The book includes detailed material and extensive bibliographies, written by leading experts in the field, on topics such as: Use of fuzzy logic in various control systems. Fuzzy rule-based modeling and its universal approximation properties. Learning and tuning techniques for fuzzy models, using neural networks and genetic algorithms. Fuzzy control methods, including issues such as stability analysis and design techniques, as well as the relationship with traditional linear control. Fuzzy sets relation to the study of chaotic systems, and the fuzzy extension of set-valued approaches to systems modeling through the use of differential inclusions. Fuzzy Systems: Modeling and Control is part of The Handbooks of Fuzzy Sets Series. The series provides a complete picture of contemporary fuzzy set theory and its applications. This volume is a key reference for systems engineers and scientists seeking a guide to the vast amount of literature in fuzzy logic modeling and control.
