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Fuzzy Systems

Summary

The course is focused on the knowledge of advanced fuzzy sets theory and fuzzy logic theory with their applications in fuzzy systems. It presents the fuzzy system as a universal approximator, offers the study of advanced fuzzy identification methods and methods of fuzzy modelling. The course presents the fuzzy methods of approximate reasoning and their application in decision-making expert systems, methods and applications of F-transforms and methods of optimization and adaptation in fuzzy systems of control of complex non-linear systems. It introduces some methods and applications of fuzzy neural systems.
The content of the course can be individually adjusted according to the requirements of the actual dissertation topic.

Literature

WANG, L.X., A Course in Fuzzy Systems and Control. Prentice-Hall International, Inc. ISBN:0-13-540882-2 
BUCKLEY, J.J, SILER, W. Fuzzy Expert Systems and Fuzzy Reasoning. Theory and Applications, John Wiley & Sons Inc. United States. ISBN-13: 9780471388593 , 2005.
FULLER,R. Neural Fuzzy Systems. Abo, ISBN 951-650-624-0 
SPOONER, J. T. and all. Stable Adaptive Control and Estimation for Nonlinear Systems: Neural and Fuzzy Approximator Techniques. 2002 John Wiley & Sons, Inc. ISBN 0-471-41546-4 
GANG, F. Analysis and Synthesis of Fuzzy Control Systems. 2010 CR PRESS, Taylor and Francis Group, LLC, ISBN 978-1-4200-9265-3 

Doporučená literatura

GHUANRONG,CH., TRUNG,T.P. Introduction to Fuzzy Systems. Hapman&Hall, 2006. ISBN 978-1-58488-531-3 
MATA,F., MARICHAL,G.N., JIMNEZ,E. Fuzzy Modeling and Control: Theory and Applications. Atlantis Publishing Corporation, 2014, ISBN 9462390819 
PERFILIEVA,I. Fuzzy transforms: theory and application. Fuzzy Sets and Systems, 157, 2006


Language of instruction čeština, angličtina
Code 450-6003
Abbreviation FS
Course title Fuzzy Systems
Coordinating department Department of Cybernetics and Biomedical Engineering
Course coordinator prof. Dr. Ing. Miroslav Pokorný