Fuzzy Control Estimation And Diagnosis

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Fuzzy Control, Estimation and Diagnosis

Author : Magdi S. Mahmoud
Publisher : Springer
Page : 689 pages
File Size : 49,9 Mb
Release : 2017-06-15
Category : Technology & Engineering
ISBN : 9783319549545

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Fuzzy Control, Estimation and Diagnosis by Magdi S. Mahmoud Pdf

This textbook explains the principles of fuzzy systems in some depth together with information useful in realizing them within computational processes. The various algorithms and example problem solutions are a well-balanced and pertinent aid for research projects, laboratory work and graduate study. In addition to its worked examples, the book also uses end-of-chapter exercises as an instructional aid with a downloadable solutions manual available to instructors. The content of the book is developed and extended from material taught for four years in the author’s classes. The text provides a broad overview of fuzzy control, estimation and fault diagnosis. It ranges over various classes of target system and modes of control and then turns to filtering, stabilization, and fault detection and diagnosis. Applications, simulation tools and an appendix on algebraic inequalities complete a unified approach to the analysis of single and interconnected fuzzy systems. Fuzzy Control, Estimation and Fault Detection is a guide for final-year undergraduate and graduate students of electrical and mechanical engineering, computer science and information technology, and will also be instructive for professionals in the information technology sector.

Fuzzy Modeling and Control: Theory and Applications

Author : Fernando Matía,G. Nicolás Marichal,Emilio Jiménez
Publisher : Springer
Page : 288 pages
File Size : 49,7 Mb
Release : 2014-08-14
Category : Technology & Engineering
ISBN : 9789462390829

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Fuzzy Modeling and Control: Theory and Applications by Fernando Matía,G. Nicolás Marichal,Emilio Jiménez Pdf

Much work on fuzzy control, covering research, development and applications, has been developed in Europe since the 90's. Nevertheless, the existing books in the field are compilations of articles without interconnection or logical structure or they express the personal point of view of the author. This book compiles the developments of researchers with demonstrated experience in the field of fuzzy control following a logic structure and a unified the style. The first chapters of the book are dedicated to the introduction of the main fuzzy logic techniques, where the following chapters focus on concrete applications. This book is supported by the EUSFLAT and CEA-IFAC societies, which include a large number of researchers in the field of fuzzy logic and control. The central topic of the book, Fuzzy Control, is one of the main research and development lines covered by these associations.

Fuzzy Control and Fuzzy Systems

Author : Witold Pedrycz
Publisher : Unknown
Page : 284 pages
File Size : 50,8 Mb
Release : 1989
Category : Automatic control
ISBN : UCAL:B4364580

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Fuzzy Control and Fuzzy Systems by Witold Pedrycz Pdf

Modern Fuzzy Control Systems and Its Applications

Author : S. Ramakrishnan
Publisher : BoD – Books on Demand
Page : 468 pages
File Size : 49,6 Mb
Release : 2017-08-30
Category : Mathematics
ISBN : 9789535133896

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Modern Fuzzy Control Systems and Its Applications by S. Ramakrishnan Pdf

Control systems play an important role in engineering. Fuzzy logic is the natural choice for designing control applications and is the most popular and appropriate for the control of home and industrial appliances. Academic and industrial experts are constantly researching and proposing innovative and effective fuzzy control systems. This book is an edited volume and has 21 innovative chapters arranged into five sections covering applications of fuzzy control systems in energy and power systems, navigation systems, imaging, and industrial engineering. Overall, this book provides a rich set of modern fuzzy control systems and their applications and will be a useful resource for the graduate students, researchers, and practicing engineers in the field of electrical engineering.

Fuzzy Logic Control

Author : H. B. Verbruggen,Robert Babu?ka
Publisher : World Scientific
Page : 344 pages
File Size : 46,7 Mb
Release : 1999
Category : Technology & Engineering
ISBN : 9810238258

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Fuzzy Logic Control by H. B. Verbruggen,Robert Babu?ka Pdf

Fuzzy logic control has become an important methodology in control engineering. This volume deals with applications of fuzzy logic control in various domains. The contributions are divided into three parts. The first part consists of two state-of-the-art tutorials on fuzzy control and fuzzy modeling. Surveys of advanced methodologies are included in the second part. These surveys address fuzzy decision making and control, fault detection, isolation and diagnosis, complexity reduction in fuzzy systems and neuro-fuzzy methods. The third part contains application-oriented contributions from various fields, such as process industry, cement and ceramics, vehicle control and traffic management, electromechanical and production systems, avionics, biotechnology and medical applications. The book is intended for researchers both from the academic world and from industry.

Practical Applications of Fuzzy Technologies

Author : Hans-Jürgen Zimmermann
Publisher : Springer Science & Business Media
Page : 680 pages
File Size : 54,7 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461546016

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Practical Applications of Fuzzy Technologies by Hans-Jürgen Zimmermann Pdf

Since the late 1980s, a large number of very user-friendly tools for fuzzy control, fuzzy expert systems, and fuzzy data analysis have emerged. This has changed the character of this area and started the area of `fuzzy technology'. The next large step in the development occurred in 1992 when almost independently in Europe, Japan and the USA, the three areas of fuzzy technology, artificial neural nets and genetic algorithms joined forces under the title of `computational intelligence' or `soft computing'. The synergies which were possible between these three areas have been exploited very successfully. Practical Applications of Fuzzy Sets focuses on model and real applications of fuzzy sets, and is structured into four major parts: engineering and natural sciences; medicine; management; and behavioral, cognitive and social sciences. This book will be useful for practitioners of fuzzy technology, scientists and students who are looking for applications of their models and methods, for topics of their theses, and even for venture capitalists who look for attractive possibilities for investments.

Fuzzy Model Identification for Control

Author : Janos Abonyi
Publisher : Springer Science & Business Media
Page : 279 pages
File Size : 44,6 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781461200277

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Fuzzy Model Identification for Control by Janos Abonyi Pdf

This book presents new approaches to constructing fuzzy models for model-based control. Simulated examples and real-world applications from chemical and process engineering illustrate the main methods and techniques. Supporting MATLAB and Simulink files create a computational platform for exploration of the concepts and algorithms.

Fault Diagnosis and Sustainable Control of Wind Turbines

Author : Silvio Simani,Saverio Farsoni
Publisher : Butterworth-Heinemann
Page : 228 pages
File Size : 46,8 Mb
Release : 2018-01-02
Category : Technology & Engineering
ISBN : 9780128129852

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Fault Diagnosis and Sustainable Control of Wind Turbines by Silvio Simani,Saverio Farsoni Pdf

Fault Diagnosis and Sustainable Control of Wind Turbines: Robust Data-Driven and Model-Based Strategies discusses the development of reliable and robust fault diagnosis and fault-tolerant (‘sustainable’) control schemes by means of data-driven and model-based approaches. These strategies are able to cope with unknown nonlinear systems and noisy measurements. The book also discusses simpler solutions relying on data-driven and model-based methodologies, which are key when on-line implementations are considered for the proposed schemes. The book targets both professional engineers working in industry and researchers in academic and scientific institutions. In order to improve the safety, reliability and efficiency of wind turbine systems, thus avoiding expensive unplanned maintenance, the accommodation of faults in their early occurrence is fundamental. To highlight the potential of the proposed methods in real applications, hardware–in–the–loop test facilities (representing realistic wind turbine systems) are considered to analyze the digital implementation of the designed solutions. The achieved results show that the developed schemes are able to maintain the desired performances, thus validating their reliability and viability in real-time implementations. Different groups of readers—ranging from industrial engineers wishing to gain insight into the applications' potential of new fault diagnosis and sustainable control methods, to the academic control community looking for new problems to tackle—will find much to learn from this work. Provides wind turbine models with varying complexity, as well as the solutions proposed and developed by the authors Addresses in detail the design, development and realistic implementation of fault diagnosis and fault tolerant control strategies for wind turbine systems Addresses the development of sustainable control solutions that, in general, do not require the introduction of further or redundant measurements Proposes active fault tolerant ('sustainable') solutions that are able to maintain the wind turbine working conditions with gracefully degraded performance before required maintenance can occur Presents full coverage of the diagnosis and fault tolerant control problem, starting from the modeling and identification and finishing with diagnosis and fault tolerant control approaches Provides MATLAB and Simulink codes for the solutions proposed

Fuzzy Systems and Data Mining VIII

Author : A.J. Tallón-Ballesteros
Publisher : IOS Press
Page : 440 pages
File Size : 40,6 Mb
Release : 2022-11-04
Category : Computers
ISBN : 9781643683478

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Fuzzy Systems and Data Mining VIII by A.J. Tallón-Ballesteros Pdf

Fuzzy logic is vital to applications in the electrical, industrial, chemical and engineering realms, as well as in areas of management and environmental issues. Data mining is indispensible in dealing with big data, massive data, and scalable, parallel and distributed algorithms. This book presents papers from FSDM 2022, the 8th International Conference on Fuzzy Systems and Data Mining. The conference, originally scheduled to take place in Xiamen, China, was held fully online from 4 to 7 November 2022, due to ongoing restrictions connected with the COVID-19 pandemic. This year, FSDM received 196 submissions, of which 47 papers were ultimately selected for presentation and publication after a thorough review process, taking into account novelty, and the breadth and depth of research themes falling under the scope of FSDM. This resulted in an acceptance rate of 23.97%. Topics covered include fuzzy theory, algorithms and systems, fuzzy applications, data mining and the interdisciplinary field of fuzzy logic and data mining. Offering an overview of current research and developments in fuzzy logic and data mining, the book will be of interest to all those working in the field of data science.

Fuzzy Control Systems

Author : Abraham Kandel,Gideon Langholz
Publisher : CRC Press
Page : 664 pages
File Size : 54,9 Mb
Release : 1993-09-27
Category : Computers
ISBN : 0849344964

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Fuzzy Control Systems by Abraham Kandel,Gideon Langholz Pdf

Fuzzy Control Systems explores one of the most active areas of research involving fuzzy set theory. The contributors address basic issues concerning the analysis, design, and application of fuzzy control systems. Divided into three parts, the book first devotes itself to the general theory of fuzzy control systems. The second part deals with a variety of methodologies and algorithms used in the analysis and design of fuzzy controllers. The various paradigms include fuzzy reasoning models, fuzzy neural networks, fuzzy expert systems, and genetic algorithms. The final part considers current applications of fuzzy control systems. This book should be required reading for researchers, practitioners, and students interested in fuzzy control systems, artificial intelligence, and fuzzy sets and systems.

An Introduction to Fuzzy Control

Author : Dimiter Driankov,Hans Hellendoorn,Michael Reinfrank
Publisher : Springer Science & Business Media
Page : 327 pages
File Size : 43,5 Mb
Release : 2013-03-09
Category : Technology & Engineering
ISBN : 9783662111314

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An Introduction to Fuzzy Control by Dimiter Driankov,Hans Hellendoorn,Michael Reinfrank Pdf

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 Control

Author : Kevin M. Passino,Stephen Yurkovich
Publisher : Prentice Hall
Page : 506 pages
File Size : 41,5 Mb
Release : 1998
Category : Computers
ISBN : UOM:39015040569165

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Fuzzy Control by Kevin M. Passino,Stephen Yurkovich Pdf

Introduction; Fuzzy control: the basics; Case studies in design and implementation; nonlinear analysis; Fuzzy identification and estimation; Adaptive fuzzy control; Fuzzy supervisory control; Perspectives on fuzzy control.

Fuzzy Control and Identification

Author : John H. Lilly
Publisher : John Wiley & Sons
Page : 199 pages
File Size : 52,6 Mb
Release : 2011-03-10
Category : Technology & Engineering
ISBN : 9781118097816

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Fuzzy Control and Identification by John H. Lilly Pdf

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.

Fuzzy Logic, Identification and Predictive Control

Author : Jairo Jose Espinosa Oviedo,Joos P.L. Vandewalle,Vincent Wertz
Publisher : Springer Science & Business Media
Page : 274 pages
File Size : 53,6 Mb
Release : 2007-01-04
Category : Technology & Engineering
ISBN : 9781846280870

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Fuzzy Logic, Identification and Predictive Control by Jairo Jose Espinosa Oviedo,Joos P.L. Vandewalle,Vincent Wertz Pdf

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.

Fuzzy Reasoning in Information, Decision and Control Systems

Author : S.G. Tzafestas,Anastasios N. Venetsanopoulos
Publisher : Springer Science & Business Media
Page : 548 pages
File Size : 55,6 Mb
Release : 1994-02-28
Category : Technology & Engineering
ISBN : 9780792326434

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Fuzzy Reasoning in Information, Decision and Control Systems by S.G. Tzafestas,Anastasios N. Venetsanopoulos Pdf

Great progresses have been made in the application of fuzzy set theory and fuzzy logic. Most remarkable area of application is 'fuzzy control', where fuzzy logic was first applied to plant control systems and its use is expanding to consumer products. Most of fuzzy control systems uses fuzzy inference with max-min or max-product composition, similar to the algorithm that first used by Mamdani in 1970s. Some algorithms are developed to refine fuzzy controls systems but the main part of algorithm stays the same. Triggered by the success of fuzzy control systems, other ways of applying fuzzy set theory are also investigated. They are usually referred to as 'fuzzy expert sys tems', and their purpose are to combine the idea of fuzzy theory with AI based approach toward knowledge processing. These approaches can be more generally viewed as 'fuzzy information processing', that is to bring fuzzy idea into informa tion processing systems.