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Foundations of Fuzzy Control

Author : Jan Jantzen

Publisher : John Wiley & Sons

Page : 322 pages

File Size : 14,69 MB

Release : 2013-07-17

Category : Technology & Engineering

ISBN : 1118535596

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Book Description

Foundations of Fuzzy Control: A Practical Approach, 2nd Edition has been significantly revised and updated, with two new chapters on Gain Scheduling Control and Neurofuzzy Modelling. It focuses on the PID (Proportional, Integral, Derivative) type controller which is the most widely used in industry and systematically analyses several fuzzy PID control systems and adaptive control mechanisms. This new edition covers the basics of fuzzy control and builds a solid foundation for the design of fuzzy controllers, by creating links to established linear and nonlinear control theory. Advanced topics are also introduced and in particular, common sense geometry is emphasised. Key features Sets out practical worked through problems, examples and case studies to illustrate each type of control system Accompanied by a website hosting downloadable MATLAB programs Accompanied by an online course on Fuzzy Control which is taught by the author. Students can access further material and enrol at the companion website Foundations of Fuzzy Control: A Practical Approach, 2nd Edition is an invaluable resource for researchers, practitioners, and students in engineering. It is especially relevant for engineers working with automatic control of mechanical, electrical, or chemical systems.



Foundations of Fuzzy Control

Author : Jan Jantzen

Publisher : Wiley-Blackwell

Page : 240 pages

File Size : 19,77 MB

Release : 2007-04-02

Category : Computers

ISBN :

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Book Description

Fuzzy logic is key to the efficient working of many consumer, industrial and financial applications. Providing a brief history of the subject as well as analysing the system architecture of a fuzzy controller, this book gives a full and clearly set out introduction to the topic. As an essential guide to this subject for many engineering disciplines, Foundations of Fuzzy Control successfully exploits established results in linear and non-linear control theory. It presents a full coverage of fuzzy control, from basic mathematics to feedback control, all in a tutorial style. In particular this book: Systematically analyses several fuzzy PID (Proportional-Integral-Derivative) control systems and state space control, and also self-learning control mechanisms Sets out practical worked through problems, examples and case studies to illustrate each type of control system Provides an accompanying Web site that contains downloadable Matlab programs. This book is an invaluable resource for a broad spectrum of researchers, practitioners, and students in engineering. In particular it is especially relevant for those in mechanical and electrical engineering, as well as those in artificial intelligence, machine learning, bio-informatics, and operational research. It is also a useful reference for practising engineers, working on the development of fuzzy control applications and system architectures.



Foundations of Fuzzy Logic and Semantic Web Languages (Open Access)

Author : Umberto Straccia

Publisher : CRC Press

Page : 388 pages

File Size : 24,5 MB

Release : 2016-04-19

Category : Computers

ISBN : 1000556786

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Book Description

Managing vagueness/fuzziness is starting to play an important role in Semantic Web research, with a large number of research efforts underway. Foundations of Fuzzy Logic and Semantic Web Languages provides a rigorous and succinct account of the mathematical methods and tools used for representing and reasoning with fuzzy information within Semantic



Fuzzy Control and Modeling

Author : Hao Ying

Publisher : Wiley-IEEE Press

Page : 350 pages

File Size : 35,8 MB

Release : 2000-08-15

Category : Computers

ISBN :

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Book Description

The emerging, powerful fuzzy control paradigm has led to the worldwide success of countless commercial products and real-world applications. Fuzzy control is exceptionally practical and cost-effective due to its unique ability to accomplish tasks without knowing the mathematical model of the system, even if it is nonlinear, time varying and complex. Nevertheless, compared with the conventional control technology, most fuzzy control applications are developed in an ad hoc manner with little analytical understanding and without rigorous system analysis and design. Fuzzy Control and Modeling is the only book that establishes the analytical foundations for fuzzy control and modeling in relation to the conventional linear and nonlinear theories of control and systems. The coverage is up-to-date, comprehensive, in-depth and rigorous. Numeric examples and applications illustrate the utility of the theoretical development. Important topics discussed include: Structures of fuzzy controllers/models with respect to conventional fuzzy controllers/models Analysis of fuzzy control and modeling in relation to their classical counterparts Stability analysis of fuzzy systems and design of fuzzy control systems Sufficient and necessary conditions on fuzzy systems as universal approximators Real-time fuzzy control systems for treatment of life-critical problems in biomedicine Fuzzy Control and Modeling is a self-contained, invaluable resource for professionals and students in diverse technical fields who aspire to analytically study fuzzy control and modeling.



Introduction to Fuzzy Sets, Fuzzy Logic, and Fuzzy Control Systems

Author : Guanrong Chen

Publisher : CRC Press

Page : 329 pages

File Size : 36,52 MB

Release : 2000-11-27

Category : Mathematics

ISBN : 1420039814

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Book Description

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



A First Course in Fuzzy and Neural Control

Author : Hung T. Nguyen

Publisher : CRC Press

Page : 314 pages

File Size : 38,14 MB

Release : 2002-11-12

Category : Mathematics

ISBN : 1420035525

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Book Description

Although the use of fuzzy control methods has grown nearly to the level of classical control, the true understanding of fuzzy control lags seriously behind. Moreover, most engineers are well versed in either traditional control or in fuzzy control-rarely both. Each has applications for which it is better suited, but without a good understanding of



Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering

Author : Nikola K. Kasabov

Publisher : Marcel Alencar

Page : 581 pages

File Size : 42,24 MB

Release : 1996

Category : Artificial intelligence

ISBN : 0262112124

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Book Description

Combines the study of neural networks and fuzzy systems with symbolic artificial intelligence (AI) methods to build comprehensive AI systems. Describes major AI problems (pattern recognition, speech recognition, prediction, decision-making, game-playing) and provides illustrative examples. Includes applications in engineering, business and finance.



Fuzzy Control

Author : Kevin M. Passino

Publisher : Prentice Hall

Page : 506 pages

File Size : 25,58 MB

Release : 1998

Category : Computers

ISBN :

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Book Description

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 : 49,67 MB

Release : 2011-03-10

Category : Technology & Engineering

ISBN : 1118097815

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Book Description

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 Control and Fuzzy Systems

Author : Witold Pedrycz

Publisher : *Research Studies Press

Page : 376 pages

File Size : 28,25 MB

Release : 1993-08-17

Category : Computers

ISBN :

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Book Description

Examines the methodology and algorithms of fuzzy sets considered mainly in the context of control engineering and system modelling and analysis. Special emphasis is focused on the processing of fuzzy information realized with the aid of fuzzy relational structures and their extensions.