Fuzzy Controller Design
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Fuzzy Controller Design
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Author : Zdenko Kovacic
language : en
Publisher: CRC Press
Release Date : 2018-10-08
Fuzzy Controller Design written by Zdenko Kovacic and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-08 with Technology & Engineering categories.
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.
Pid Controller Design Approaches
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Author : Marialena Vagia
language : en
Publisher: BoD – Books on Demand
Release Date : 2012-03-28
Pid Controller Design Approaches written by Marialena Vagia and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-03-28 with Technology & Engineering categories.
First placed on the market in 1939, the design of PID controllers remains a challenging area that requires new approaches to solving PID tuning problems while capturing the effects of noise and process variations. The augmented complexity of modern applications concerning areas like automotive applications, microsystems technology, pneumatic mechanisms, dc motors, industry processes, require controllers that incorporate into their design important characteristics of the systems. These characteristics include but are not limited to: model uncertainties, system's nonlinearities, time delays, disturbance rejection requirements and performance criteria. The scope of this book is to propose different PID controllers designs for numerous modern technology applications in order to cover the needs of an audience including researchers, scholars and professionals who are interested in advances in PID controllers and related topics.
Fuzzy Systems Design
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Author : Leonid Reznik
language : en
Publisher: Physica
Release Date : 2013-06-29
Fuzzy Systems Design written by Leonid Reznik and has been published by Physica this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Business & Economics categories.
Fuzzy logic is a way of thinking that is responsive to human zeal to unveil uncertainty and deal with social paradoxes emerging from it. In this book a number of articles illustrate various social applications to fuzzy logic. The engineering part of the book contains a number of papers, devoted to the description of fuzzy engineering design methodologies. In order to share the experience gained we select papers describing not the application result only but the way how this result has been obtained, that is explaining the design procedures. The potential readership of this book includes researchers and students, workers and engineers in both areas of social and engineering studies. It can be used as a handbook and textbook also. The book includes some examples of real fuzzy engineering.
Intelligent Observer And Control Design For Nonlinear Systems
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Author : Dierk Schröder
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17
Intelligent Observer And Control Design For Nonlinear Systems written by Dierk Schröder and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Technology & Engineering categories.
Control theory of nonlinear systems, in which either the linear part is known but the relevant nonlinearities in place, kind or parameters are unknown, or both the linear and the nonlinear parts are partially or even most unknown, is a new, demanding and highly interesting field. This book treats the problem by focussing on the role of learning. Intelligent learning techniques are able to determine the unknown components of nonlinear systems. These processes are always stable and convergent. The methods presented can be used both on-line and off-line. They have applications in mechatronics, hydraulics and combustion engines.
Fuzzy Controllers Handbook
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Author : Leon Reznik
language : en
Publisher: Elsevier
Release Date : 1997-08-21
Fuzzy Controllers Handbook written by Leon Reznik and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-08-21 with Technology & Engineering categories.
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
The Foundations Of Fuzzy Control
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Author : Harold W. Lewis
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-21
The Foundations Of Fuzzy Control written by Harold W. Lewis and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-21 with Technology & Engineering categories.
Harold Lewis applied a cross-disciplinary approach in his highly accessible discussion of fuzzy control concepts. With the aid of fifty-seven illustrations, he thoroughly presents a unique mathematical formalism to explain the workings of the fuzzy inference engine and a novel test plant used in the research. Additionally, the text posits a new viewpoint on why fuzzy control is more popular in some countries than in others. A direct and original view of Japanese thinking on fuzzy control methods, based on the author's personal knowledge of - and association with - Japanese fuzzy research, is also included.
Computational Intelligence In Systems And Control Design And Applications
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Author : S.G. Tzafestas
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-11-30
Computational Intelligence In Systems And Control Design And Applications written by S.G. Tzafestas and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-11-30 with Mathematics categories.
This book contains thirty timely contributions in the emerging field of Computational Intelligence (CI) with reference to system control design and applications. The three basic constituents ofCI are neural networks (NNs). fuzzy logic (FL) I fuzzy reasoning (FR). and genetic algorithms (GAs). NNs mimic the distributed functioning of the human brain and consist of many. rather simple. building elements (called artificial neurons) which are controlled by adaptive parameters and are able to incorporate via learning the knowledge provided by the environment, and thus respond intelligently to new stimuli. Fuzzy logic (FL) provides the means to build systems that can reason linguistically under uncertainty like the human experts (common sense reasoning). Both NNs and FL I FR are among the most widely used tools for modeling unknown systems with nonlinear behavior. FL suits better when there is some kind of knowledge about the system. such as, for example, the linguistic information of a human expert. On the other hand. NNs possess unique learning and generalization capabilities that allow the user to construct very accurate models of nonlinear systems simply using input-output data. GAs offer an interesting set of generic tools for systematic random search optimization following the mechanisms of natural genetics. In hybrid Computational Intelligence - based systems these three tools (NNs, FL, GAs) are combined in several synergetic ways producing integrated tools with enhanced learning, generalization. universal approximation. reasoning and optimization abilities.
Fuzzy Controller Design For Position Control
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Author :
language : en
Publisher:
Release Date : 2012
Fuzzy Controller Design For Position Control written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
The Control Handbook
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Author : William S. Levine
language : en
Publisher: CRC Press
Release Date : 1996-02-23
The Control Handbook written by William S. Levine and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-02-23 with Technology & Engineering categories.
This is the biggest, most comprehensive, and most prestigious compilation of articles on control systems imaginable. Every aspect of control is expertly covered, from the mathematical foundations to applications in robot and manipulator control. Never before has such a massive amount of authoritative, detailed, accurate, and well-organized information been available in a single volume. Absolutely everyone working in any aspect of systems and controls must have this book!
Fuzzy Control Of Industrial Systems
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Author : Ian S. Shaw
language : en
Publisher: Springer
Release Date : 2013-12-20
Fuzzy Control Of Industrial Systems written by Ian S. Shaw and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-20 with Mathematics categories.
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.