Design of a Fuzzy-logic Based Engine Controller
| Author | : David Edward Heath |
| Publisher | : |
| Total Pages | : 86 |
| Release | : 1994 |
| Genre | : |
| ISBN | : |
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Design Of A Fuzzy Logic Based Engine Controller PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Design Of A Fuzzy Logic Based Engine Controller PDF full book. Access full book title Design Of A Fuzzy Logic Based Engine Controller.
Fuzzy Controllers Handbook
| Author | : Leon Reznik |
| Publisher | : Elsevier |
| Total Pages | : 307 |
| Release | : 1997-08-21 |
| Genre | : Technology & Engineering |
| ISBN | : 0080507166 |
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This book teaches you how to design a fuzzy controller and shares the author's experience of design and applications. It is the perfect book for you if you want to know something about fuzzy control and fuzzy controllers, but you are not a mathematician, so what you are really interested in is the design process. As an introduction it assumes no preliminary knowledge of fuzzy theory and technology, but starts at the root of a problem and works from there.TIf you have some experience in fuzzy controller design but are not sure how to choose the number of membership functions, how to shape them properly, or how to debug a fuzzy controller; if you are a beginner with fuzzy logic, and so you would like to know how to apply the theory; if you are researching fuzzy logic or if you need some help with a project at work - this book is for you!The text is designed for use both as a course companion for both teachers and students or for self-study. Leon Reznik has worked on fuzzy logic applications in a huge range of control situations including spacecraft launch control, microprocessor control, and metallurgical furnace control. Latterly he has been teaching in the Department of Electrical and Electronic Engineering at Victoria University of Technology, Australia. His work in the area has generated a substantial volume of papers in both Russian and English. First readable book on the subject Ideal for professionals and students alike This book takes fuzzy logic out of the ivory tower and into the workplace
An Introduction to Fuzzy Control
| Author | : Dimiter Driankov |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 327 |
| Release | : 2013-03-09 |
| Genre | : Technology & Engineering |
| ISBN | : 3662111314 |
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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.
Fuzzy Controller Design
| Author | : Zdenko Kovacic |
| Publisher | : CRC Press |
| Total Pages | : 416 |
| Release | : 2018-10-08 |
| Genre | : Technology & Engineering |
| ISBN | : 142002650X |
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Fuzzy control methods are critical for meeting the demands of complex nonlinear systems. They bestow robust, adaptive, and self-correcting character to complex systems that demand high stability and functionality beyond the capabilities of traditional methods. A thorough treatise on the theory of fuzzy logic control is out of place on the design bench. That is why Fuzzy Controller Design: Theory and Applications offers laboratory- and industry-tested algorithms, techniques, and formulations of real-world problems for immediate implementation. With surgical precision, the authors carefully select the fundamental elements of fuzzy logic control theory necessary to formulate effective and efficient designs. The book supplies a springboard of knowledge, punctuated with examples worked out in MATLAB®/SIMULINK®, from which newcomers to the field can dive directly into applications. It systematically covers the design of hybrid, adaptive, and self-learning fuzzy control structures along with strategies for fuzzy controller design suitable for on-line and off-line operation. Examples occupy an entire chapter, with a section devoted to the simulation of an electro-hydraulic servo system. The final chapter explores industrial applications with emphasis on techniques for fuzzy controller implementation and different implementation platforms for various applications. With proven methods based on more than a decade of experience, Fuzzy Controller Design: Theory and Applications is a concise guide to the methodology, design steps, and formulations for effective control solutions.
Design and Implementation of a Fuzzy Logic Speed Controller for an Internal Combustion Engine
| Author | : Craig Jensen |
| Publisher | : |
| Total Pages | : 296 |
| Release | : 1995 |
| Genre | : Fuzzy logic |
| ISBN | : |
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Microelectronic Design of Fuzzy Logic-Based Systems
| Author | : Iluminada Baturone |
| Publisher | : CRC Press |
| Total Pages | : 336 |
| Release | : 2018-10-08 |
| Genre | : Technology & Engineering |
| ISBN | : 1482273861 |
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Fuzzy logic has virtually exploded over the landscape of emerging technologies, becoming an integral part of myriad applications and a standard tool for engineers. Until recently, most of the attention and applications have centered on fuzzy systems implemented in software. But these systems are limited. Problems that require real-time operation, low area, or low power consumption demand hardware designed to the fuzzy paradigm - and engineers with the background and skills to design it. Microelectronic Design of Fuzzy Logic-Based Systems offers low-cost answers to issues that software cannot resolve. From the theoretical, architectural, and technological foundation to design tools and applications, it serves as your guide to effective hardware realizations of fuzzy logic. Review fuzzy logic theory and the basic issues of fuzzy sets, operators, and inference mechanisms Explore the trade-offs between efficient theoretical behavior and practical hardware realizations Discover the properties of the possible microelectronic realizations of fuzzy systems - conventional processors, fuzzy coprocessors, and fuzzy chips Investigate the design of fuzzy chips that implement the whole fuzzy inference method into silicon Analyze analog, digital, and mixed-signal techniques Reduce your design effort for fuzzy systems with CAD tools - learn the requirements they should meet and survey current environments. Put it all together - see examples and case studies illustrating how all of this is used to solve particular problems related to control and neuro-fuzzy applications
Introduction To Type-2 Fuzzy Logic Control
| Author | : Jerry Mendel |
| Publisher | : John Wiley & Sons |
| Total Pages | : 470 |
| Release | : 2014-06-16 |
| Genre | : Technology & Engineering |
| ISBN | : 1118901444 |
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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.
Fuzzy Logic for Real World Design
| Author | : Ted Heske |
| Publisher | : |
| Total Pages | : 456 |
| Release | : 1996 |
| Genre | : Computers |
| ISBN | : |
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This comprehensive guide shows engineers how to use fuzzy logic tools for project design and development. It describes how to design, build, and fine-tune systems using a systematic approach to the fuzzy engineering process. Each is illustrated through in-depth, practical examples. The book provides a fuzzy kernel in C that can be compiled for a variety of microcontrollers.
Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control
| Author | : Oscar Castillo |
| Publisher | : Springer |
| Total Pages | : 320 |
| Release | : 2009-10-13 |
| Genre | : Technology & Engineering |
| ISBN | : 3642045146 |
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We describe in this book, new methods for evolutionary design of intelligent s- tems using soft computing and their applications in modeling, simulation and c- trol. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in four main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of evolutionary design of fuzzy systems in intelligent control, which consists of papers that propose new methods for designing and optimizing intelligent controllers for different applications. The second part c- tains papers with the main theme of evolutionary design of intelligent systems for pattern recognition applications, which are basically papers using evolutionary al- rithms for optimizing modular neural networks with fuzzy systems for response - tegration, for achieving pattern recognition in different applications. The third part contains papers with the themes of models for learning and social simulation, which are papers that apply intelligent systems to the problems of designing learning - jects and social agents. The fourth part contains papers that deal with intelligent s- tems in robotics applications and hardware implementations. In the part of Intelligent Control there are 5 papers that describe different c- tributions on evolutionary optimization of fuzzy systems in intelligent control. The first paper, by Ricardo Martinez-Marroquin et al.
Fuzzy Hardware
| Author | : Abraham Kandel |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 432 |
| Release | : 2012-12-06 |
| Genre | : Mathematics |
| ISBN | : 1461540909 |
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Fuzzy hardware developments have been a major force driving the applications of fuzzy set theory and fuzzy logic in both science and engineering. This volume provides the reader with a comprehensive up-to-date look at recent works describing new innovative developments of fuzzy hardware. An important research trend is the design of improved fuzzy hardware. There is an increasing interest in both analog and digital implementations of fuzzy controllers in particular and fuzzy systems in general. Specialized analog and digital VLSI implementations of fuzzy systems, in the form of dedicated architectures, aim at the highest implementation efficiency. This particular efficiency is asserted in terms of processing speed and silicon utilization. Processing speed in particular has caught the attention of developers of fuzzy hardware and researchers in the field. The volume includes detailed material on a variety of fuzzy hardware related topics such as: Historical review of fuzzy hardware research Fuzzy hardware based on encoded trapezoids Pulse stream techniques for fuzzy hardware Hardware realization of fuzzy neural networks Design of analog neuro-fuzzy systems in CMOS digital technologies Fuzzy controller synthesis method Automatic design of digital and analog neuro-fuzzy controllers Electronic implementation of complex controllers Silicon compilation of fuzzy hardware systems Digital fuzzy hardware processing Parallel processor architecture for real-time fuzzy applications Fuzzy cellular systems Fuzzy Hardware: Architectures and Applications is a technical reference book for researchers, engineers and scientists interested in fuzzy systems in general and in building fuzzy systems in particular.
