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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
ELK 502FUZZY CONTROL SYSTEMS DESIGN AND ANALYSIS3 + 02nd Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective To model control systems with Fuzzy Logic and to implement the Fuzzy logic control technique on recent applications.
Course Content Fuzzy sets, Logic and Control, Basic mathematical concept of fuzzy sets, Lingustic variables, The structure and operation of a fuzzy controller, Linear amd nonlinear models following control, Embedded fuzy applications.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1He/She knows the fundamental concepts of digital systems.
2He/She knows the fuzzy set theory.
3He/She knows the fuzzy modelling.
4He/She performs fuzzy logic system designs.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11
LO 00143422211111
LO 00254434211111
LO 00344434211111
LO 00454455211111
Sub Total1815161315844444
Contribution54434211111

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14570
Assignments11515
Mid-terms12323
Final examination13030
Presentation / Seminar Preparation11515
Total Work Load

ECTS Credit of the Course






195

7,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Spring1BEDRİ BAHTİYAR
Details 2018-2019 Fall1AHMET ÖZEK
Details 2015-2016 Fall1AHMET ÖZEK
Details 2013-2014 Fall1AHMET ÖZEK
Details 2012-2013 Fall1AHMET ÖZEK
Details 2011-2012 Fall1AHMET ÖZEK
Details 2010-2011 Fall1AHMET ÖZEK
Details 2009-2010 Fall1AHMET ÖZEK


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
ELK 502 FUZZY CONTROL SYSTEMS DESIGN AND ANALYSIS 3 + 0 1 Turkish 2023-2024 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Asts. Prof. Dr. BEDRİ BAHTİYAR bedribahtiyar@pau.edu.tr MUH A0475 MUH BA0114 %
Goals To model control systems with Fuzzy Logic and to implement the Fuzzy logic control technique on recent applications.
Content Fuzzy sets, Logic and Control, Basic mathematical concept of fuzzy sets, Lingustic variables, The structure and operation of a fuzzy controller, Linear amd nonlinear models following control, Embedded fuzy applications.
Topics
WeeksTopics
1 Introduction to Fuzzy Control Systems, The history of Fuzzy Logic, What Is Fuzzy Logic and Why Is It Useful?
2 Fuzzy set theory and applications
3 Fuzzy Logic Theory, Classical Logic Theory, The Boolean Algebra, FUZZY Relations
4 Applications of Fuzzy Logic(Discrete-Time Dynamic Fuzzy Systems Stability)
5 Applications of Fuzzy Logic(Parameters Identification in Static Fuzzy Modeling)
6 Fuzzy Control Systems (the conventional or classical control systems theory)
7 Fuzzy Control Systems (frequency domain analysis for single-input single-output (SISO) linear control systems)
8 Fuzzy Control Systems (A mathematically theory of multi-input multi-output (MIMO) linear and nonlinear systems)
9 Fuzzy Control Systems (The Industrial Applications, PLC, Embeded Processors applications)
10 Fuzzy logic applications in MATLAB (MATLAB Fuzzy Toolbox)
11 Fuzzy logic applications in MATLAB (Basic application examples)
12 Fuzzy logic modelling using Fuzzy TECH Software and applications
13 Student presentations
14 Student presentations
Materials
Materials are not specified.
Resources
ResourcesResources Language
Ahmet ÖZEK, "Bulanık Mantık Ders Notları"Türkçe
Radim Belohlavek and George J. Klir , "Concepts and Fuzzy Logic" , MIT Press, 2011.English
J.-S. Roger Jang, Ned Gulley "MATLAB User’s Guide Fuzzy Logic Toolbox, Computation Programming Visualization", 1997.English
GEORGE J. KLIR AND BO YUAN, "FUZZY SETS AND FUZZY LOGIC Theory and Applications", Prentice Hall, 1995.English
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes