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Author: S.N. Sivanandam Publisher: Springer Science & Business Media ISBN: 3540357815 Category : Technology & Engineering Languages : en Pages : 442
Book Description
This book provides a broad-ranging, but detailed overview of the basics of Fuzzy Logic. The fundamentals of Fuzzy Logic are discussed in detail, and illustrated with various solved examples. The book also deals with applications of Fuzzy Logic, to help readers more fully understand the concepts involved. Solutions to the problems are programmed using MATLAB 6.0, with simulated results. The MATLAB Fuzzy Logic toolbox is provided for easy reference.
Author: S.N. Sivanandam Publisher: Springer Science & Business Media ISBN: 3540357815 Category : Technology & Engineering Languages : en Pages : 442
Book Description
This book provides a broad-ranging, but detailed overview of the basics of Fuzzy Logic. The fundamentals of Fuzzy Logic are discussed in detail, and illustrated with various solved examples. The book also deals with applications of Fuzzy Logic, to help readers more fully understand the concepts involved. Solutions to the problems are programmed using MATLAB 6.0, with simulated results. The MATLAB Fuzzy Logic toolbox is provided for easy reference.
Author: S.N. Sivanandam Publisher: Springer Science & Business Media ISBN: 3540731903 Category : Technology & Engineering Languages : en Pages : 442
Book Description
This book offers a basic introduction to genetic algorithms. It provides a detailed explanation of genetic algorithm concepts and examines numerous genetic algorithm optimization problems. In addition, the book presents implementation of optimization problems using C and C++ as well as simulated solutions for genetic algorithm problems using MATLAB 7.0. It also includes application case studies on genetic algorithms in emerging fields.
Author: Ismail H. Altaş Publisher: IET ISBN: 1785611070 Category : Computers Languages : en Pages : 520
Book Description
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.
Author: Jinkun Liu Publisher: Springer ISBN: 9811052638 Category : Technology & Engineering Languages : en Pages : 290
Book Description
This book offers a comprehensive introduction to intelligent control system design, using MATLAB simulation to verify typical intelligent controller designs. It also uses real-world case studies that present the results of intelligent controller implementations to illustrate the successful application of the theory. Addressing the need for systematic design approaches to intelligent control system design using neural network and fuzzy-based techniques, the book introduces the concrete design method and MATLAB simulation of intelligent control strategies; offers a catalog of implementable intelligent control design methods for engineering applications; provides advanced intelligent controller design methods and their stability analysis methods; and presents a sample simulation and Matlab program for each intelligent control algorithm. The main topics addressed are expert control, fuzzy logic control, adaptive fuzzy control, neural network control, adaptive neural control and intelligent optimization algorithms, providing several engineering application examples for each method.
Author: Godfrey H. Publisher: Createspace Independent Publishing Platform ISBN: 9781540356710 Category : Languages : en Pages : 328
Book Description
Fuzzy Logic Toolbox provides MATLAB functions, graphical tools, and a SimulinkR block for analyzing, designing, and simulating systems based on fuzzy logic. The product guides you through the steps of designing fuzzy inference systems. Functions are provided for many common methods, including fuzzy clustering and adaptive neurofuzzy learning. The toolbox lets you model complex system behaviors using simple logic rules, and then implement these rules in a fuzzy inference system. You can use it as a stand-alone fuzzy inference engine. Alternatively, you can use fuzzy inference blocks in Simulink and simulate the fuzzy systems within a comprehensive model of the entire dynamic system. The more important features are the next:* Specialized GUIs for building fuzzy inference systems and viewing and analyzing results* Membership functions for creating fuzzy inference systems * Support for AND, OR, and NOT logic in user-defined rules* Standard Mamdani and Sugeno-type fuzzy inference systems* Automated membership function shaping through neuroadaptive and fuzzy clustering learning techniques* Ability to embed a fuzzy inference system in a Simulink model * Ability to generate embeddable C code or stand-alone executable fuzzy inference engines
Author: Tamalika Chaira Publisher: CRC Press ISBN: 1351834215 Category : Technology & Engineering Languages : en Pages : 237
Book Description
In contrast to classical image analysis methods that employ "crisp" mathematics, fuzzy set techniques provide an elegant foundation and a set of rich methodologies for diverse image-processing tasks. However, a solid understanding of fuzzy processing requires a firm grasp of essential principles and background knowledge. Fuzzy Image Processing and Applications with MATLAB® presents the integral science and essential mathematics behind this exciting and dynamic branch of image processing, which is becoming increasingly important to applications in areas such as remote sensing, medical imaging, and video surveillance, to name a few. Many texts cover the use of crisp sets, but this book stands apart by exploring the explosion of interest and significant growth in fuzzy set image processing. The distinguished authors clearly lay out theoretical concepts and applications of fuzzy set theory and their impact on areas such as enhancement, segmentation, filtering, edge detection, content-based image retrieval, pattern recognition, and clustering. They describe all components of fuzzy, detailing preprocessing, threshold detection, and match-based segmentation. Minimize Processing Errors Using Dynamic Fuzzy Set Theory This book serves as a primer on MATLAB and demonstrates how to implement it in fuzzy image processing methods. It illustrates how the code can be used to improve calculations that help prevent or deal with imprecision—whether it is in the grey level of the image, geometry of an object, definition of an object’s edges or boundaries, or in knowledge representation, object recognition, or image interpretation. The text addresses these considerations by applying fuzzy set theory to image thresholding, segmentation, edge detection, enhancement, clustering, color retrieval, clustering in pattern recognition, and other image processing operations. Highlighting key ideas, the authors present the experimental results of their own new fuzzy approaches and those suggested by different authors, offering data and insights that will be useful to teachers, scientists, and engineers, among others.
Author: Jerry Mendel Publisher: John Wiley & Sons ISBN: 1118901444 Category : Technology & Engineering Languages : en Pages : 376
Book Description
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.
Author: John Yen Publisher: Pearson ISBN: Category : Computers Languages : en Pages : 586
Book Description
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.
Author: A. Taylor Publisher: Createspace Independent Publishing Platform ISBN: 9781979690508 Category : Languages : en Pages : 288
Book Description
Fuzzy Logic Toolbox provides MATLAB functions, apps, and a Simulink block for analyzing, designing, and simulating systems based on fuzzy logic. The book guides you through the steps of designing fuzzy inference systems. Functions are provided formany common methods, including fuzzy clustering and adaptive neuro fuzzy learning.The toolbox lets you model complex system behaviors using simple logic rules, and then implement these rules in a fuzzy inference system. You can use it as a stand-alone fuzzy inference engine. Alternatively, you can use fuzzy inference blocks in Simulink and simulate the fuzzy systems within a comprehensive model of the entire dynamic system. The most important features that this Toolbox provides are the following: - Fuzzy Logic Design app for building fuzzy inference systems and viewing andanalyzing results - Membership functions for creating fuzzy inference systems - Support for AND, OR, and NOT logic in user-defined rules - Standard Mamdani and Sugeno-type fuzzy inference systems - Automated membership function shaping through neuroadaptive and fuzzy clusteringlearning techniques - Ability to embed a fuzzy inference system in a Simulink model - Ability to generate embeddable C code or stand-alone executable fuzzy inferenceengines
Author: S.N. Sivanandam
Author: S.N. Sivanandam
Author: S.N. Sivanandam
Author: Ismail H. Altaş
Author: Jinkun Liu
Author: Godfrey H.
Author: Tamalika Chaira
Author: L. Ashok Kumar
Author: Jerry Mendel
Author: John Yen
Author: A. Taylor