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Fuzzy Logic And Control
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Book Synopsis Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems by : Guanrong Chen
Download or read book Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems written by Guanrong Chen and published by CRC Press. This book was released on 2000-11-27 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Introduction To Type-2 Fuzzy Logic Control by : Jerry Mendel
Download or read book Introduction To Type-2 Fuzzy Logic Control written by Jerry Mendel and published by John Wiley & Sons. This book was released on 2014-06-16 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Fuzzy Logic and Control by : Mohammad Jamshidi
Download or read book Fuzzy Logic and Control written by Mohammad Jamshidi and published by Pearson Education. This book was released on 1993-06-07 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy logic is enjoying an unprecedented popularity – and for excellent reasons. It has moved successfully beyond the technological and engineering fields into areas as diverse as consumer and electronic products and systems, the stock market, and medical diagnostics.
Book Synopsis Elements of Robotics by : Mordechai Ben-Ari
Download or read book Elements of Robotics written by Mordechai Ben-Ari and published by Springer. This book was released on 2017-10-25 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book bridges the gap between playing with robots in school and studying robotics at the upper undergraduate and graduate levels to prepare for careers in industry and research. Robotic algorithms are presented formally, but using only mathematics known by high-school and first-year college students, such as calculus, matrices and probability. Concepts and algorithms are explained through detailed diagrams and calculations. Elements of Robotics presents an overview of different types of robots and the components used to build robots, but focuses on robotic algorithms: simple algorithms like odometry and feedback control, as well as algorithms for advanced topics like localization, mapping, image processing, machine learning and swarm robotics. These algorithms are demonstrated in simplified contexts that enable detailed computations to be performed and feasible activities to be posed. Students who study these simplified demonstrations will be well prepared for advanced study of robotics. The algorithms are presented at a relatively abstract level, not tied to any specific robot. Instead a generic robot is defined that uses elements common to most educational robots: differential drive with two motors, proximity sensors and some method of displaying output to the user. The theory is supplemented with over 100 activities, most of which can be successfully implemented using inexpensive educational robots. Activities that require more computation can be programmed on a computer. Archives are available with suggested implementations for the Thymio robot and standalone programs in Python.
Book Synopsis Intelligent Control by : Clarence W. de Silva
Download or read book Intelligent Control written by Clarence W. de Silva and published by CRC Press. This book was released on 2018-05-02 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Fuzzy Logic Control in Energy Systems with Design Applications in MATLAB®/Simulink® by : Ismail H. Altaş
Download or read book Fuzzy Logic Control in Energy Systems with Design Applications in MATLAB®/Simulink® written by Ismail H. Altaş and published by IET. This book was released on 2017-10-06 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about fuzzy logic control and its applications in managing, controlling and operating electrical energy systems. It provides a comprehensive overview of fuzzy logic concepts and techniques required for designing fuzzy logic controllers, and then discusses several applications to control and management in energy systems.
Book Synopsis Fuzzy Logic for Business, Finance, and Management by : George Bojadziev
Download or read book Fuzzy Logic for Business, Finance, and Management written by George Bojadziev and published by World Scientific. This book was released on 2007 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is truly an interdisciplinary book for knowledge workers in business, finance, management and socio-economic sciences based on fuzzy logic. It serves as a guide to and techniques for forecasting, decision making and evaluations in an environment involving uncertainty, vagueness, impression and subjectivity. Traditional modeling techniques, contrary to fuzzy logic, do not capture the nature of complex systems especially when humans are involved. Fuzzy logic uses human experience and judgement to facilitate plausible reasoning in order to reach a conclusion. Emphasis is on applications presented in the 27 case studies including Time Forecasting for Project Management, New Product Pricing, and Control of a Parasit-Pest System.
Author :Jairo Jose Espinosa Oviedo Publisher :Springer Science & Business Media ISBN 13 :1846280877 Total Pages :274 pages Book Rating :4.8/5 (462 download)
Book Synopsis Fuzzy Logic, Identification and Predictive Control by : Jairo Jose Espinosa Oviedo
Download or read book Fuzzy Logic, Identification and Predictive Control written by Jairo Jose Espinosa Oviedo and published by Springer Science & Business Media. This book was released on 2007-01-04 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding "judgement” rather than simple "yes/no”, "on/off” responses: circumstances where a linguistic description is often more relevant than a cut-and-dried numerical one. The ability of fuzzy systems to handle numeric and linguistic information within a single framework renders them efficacious for this purpose. Fuzzy Logic, Identification and Predictive Control first shows you how to construct static and dynamic fuzzy models using the numerical data from a variety of real industrial systems and simulations. The second part exploits such models to design control systems employing techniques like data mining. This monograph presents a combination of fuzzy control theory and industrial serviceability that will make a telling contribution to your research whether in the academic or industrial sphere and also serves as a fine roundup of the fuzzy control area for the graduate student.
Book Synopsis An Introduction to Fuzzy Control by : Dimiter Driankov
Download or read book An Introduction to Fuzzy Control written by Dimiter Driankov and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Adaptive Fuzzy Systems and Control by : Li-Xin Wang
Download or read book Adaptive Fuzzy Systems and Control written by Li-Xin Wang and published by Prentice Hall. This book was released on 1994 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Advanced Fuzzy Logic Technologies in Industrial Applications by : Ying Bai
Download or read book Advanced Fuzzy Logic Technologies in Industrial Applications written by Ying Bai and published by Springer Science & Business Media. This book was released on 2007-01-17 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Fuzzy Logic written by John Yen and published by Pearson. This book was released on 1999 with total page 586 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing equal emphasis on theoretical foundations and practical issues, this book features fuzzy logic concepts and techniques in intelligent systems, control, and information technology. Uses Fuzzy Logic Toolbox MATLAB to demonstrate exemplar applications and to develop hands-on exercises.
Book Synopsis Type-2 Fuzzy Logic in Intelligent Control Applications by : Oscar Castillo
Download or read book Type-2 Fuzzy Logic in Intelligent Control Applications written by Oscar Castillo and published by Springer Science & Business Media. This book was released on 2011-10-18 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Neural Networks and Fuzzy-logic Control on Personal Computers and Workstations by : Granino Arthur Korn
Download or read book Neural Networks and Fuzzy-logic Control on Personal Computers and Workstations written by Granino Arthur Korn and published by MIT Press (MA). This book was released on 1995 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Networks and Fuzzy-Logic Control introduces a simple integrated environment for programming displays and report generation. It includes the only currently available software that permits combined simulation of multiple neural networks, fuzzy-logic controllers, and dynamic systems such as robots or physiological models. The enclosed educational version of DESIRE/NEUNET differs for the full system mainly in the size of its data area and includes a compiler, two screen editors, color graphics, and many ready-to-run examples. The software lets users or instructors add their own help screens and interactive menus. The version of DESIRE/NEUNET included here is for PCs, viz. 286/287, 386/387, 486DX, Pentium, P6, SX with math coprocessor.
Download or read book Fuzzy Logic written by Enric Trillas and published by Springer. This book was released on 2015-01-12 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Fuzzy Logic with Engineering Applications by : Timothy J. Ross
Download or read book Fuzzy Logic with Engineering Applications written by Timothy J. Ross and published by John Wiley & Sons. This book was released on 2005-04-08 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fuzzy logic refers to a large subject dealing with a set of methods to characterize and quantify uncertainty in engineering systems that arise from ambiguity, imprecision, fuzziness, and lack of knowledge. Fuzzy logic is a reasoning system based on a foundation of fuzzy set theory, itself an extension of classical set theory, where set membership can be partial as opposed to all or none, as in the binary features of classical logic. Fuzzy logic is a relatively new discipline in which major advances have been made over the last decade or so with regard to theory and applications. Following on from the successful first edition, this fully updated new edition is therefore very timely and much anticipated. Concentration on the topics of fuzzy logic combined with an abundance of worked examples, chapter problems and commercial case studies is designed to help motivate a mainstream engineering audience, and the book is further strengthened by the inclusion of an online solutions manual as well as dedicated software codes. Senior undergraduate and postgraduate students in most engineering disciplines, academics and practicing engineers, plus some working in economics, control theory, operational research etc, will all find this a valuable addition to their bookshelves.
Book Synopsis Fuzzy Control and Identification by : John H. Lilly
Download or read book Fuzzy Control and Identification written by John H. Lilly and published by John Wiley & Sons. This book was released on 2011-03-10 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
