450-6003/01 – Fuzzy Systems (FS)

Gurantor departmentDepartment of Cybernetics and Biomedical EngineeringCredits10
Subject guarantorprof. Dr. Ing. Miroslav PokornýSubject version guarantorprof. Dr. Ing. Miroslav Pokorný
Study levelpostgraduateRequirementChoice-compulsory
YearSemesterwinter + summer
Study languageCzech
Year of introduction2010/2011Year of cancellation
Intended for the facultiesFEI, EKFIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
CER275 prof. Ing. Martin Černý, Ph.D.
POK40 prof. Dr. Ing. Miroslav Pokorný
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 28+0
Part-time Examination 28+0

Subject aims expressed by acquired skills and competences

The subject represents the extending and improvement of the artificial intelligence knowledge with special focus on analysis and development of knowledge systems using the fuzzy mathematic and fuzzy logic principles and approaches. Students will be ready for design, development and practical appication of fuzzy oriented expert systems and fuzzy controllers.

Teaching methods

Lectures
Individual consultations
Project work

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.

Compulsory 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

Recommended literature:

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

Additional study materials

Way of continuous check of knowledge in the course of semester

Monitoring the performance of given tasks within the regular consultations

E-learning

Other requirements

There are not defined other requirements for student.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Lectures: Complex system modelling principles knowledge approaches. Extending of fuzzy sets theory Uncertainty and its fuzzy representation Extending of multivalues fuzzy linguistic logic Fuzzy linguistic models, analysis of Mamdani and Takagi-Sugeno fuzzy rules oriented models Extending of aproximative reasoning, inference algorithms Fuzzy expert systems, design methodology, application Rule base cognitive analysis Fuzzy control, design methodology, application Fuzzy controller properties and stability Intelligent knowledge controllers, architecture and properties Neural networks in control systems Genetic algorithms in control systems

Conditions for subject completion

Full-time form (validity from: 2013/2014 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Examination Examination   3
Mandatory attendence participation:

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Conditions for subject completion and attendance at the exercises within ISP:

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