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| Course Description |
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| Course Name |
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Fuzzy Control Systems |
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| Course Code |
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CENG-543 |
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| Course Type |
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Optional |
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| Level of Course |
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Second Cycle |
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| Year of Study |
: |
1 |
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| Course Semester |
: |
Fall (16 Weeks) |
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| ECTS |
: |
6 |
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| Name of Lecturer(s) |
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Asst.Prof.Dr. RAMAZAN ÇOBAN
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| Learning Outcomes of the Course |
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Students can desgn intelligent controllers.
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| Mode of Delivery |
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Face-to-Face |
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| Prerequisites and Co-Prerequisites |
: |
None |
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| Recommended Optional Programme Components |
: |
None |
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| Aim(s) of Course |
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to teach all the students to design fuzzy control systems. |
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| Course Contents |
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Fuzzy sets and operations. Fuzzy systems and their properties. Design of fuzzy systems. Nonadaptive fuzzy control; trial and error approach to fuzzy control design, stable fuzzy control of linear systems, optimal and robust fuzzy control of linear systems, fuzzy sliding control of nonlinear systems, gain scheduling of PID controller using fuzzy systems. Adaptive fuzzy control; direct and indirect adaptive fuzzy controllers. Stability of fuzzy control systems. |
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| Language of Instruction |
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Turkish |
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| Work Place |
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Classroom |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
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1 |
Fuzzy sets and operations. |
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Classical lecturing, question and answer |
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2 |
Fuzzy systems and their properties. |
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Classical lecturing, question and answer |
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3 |
Design of fuzzy systems. |
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Classical lecturing, question and answer |
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4 |
Nonadaptive fuzzy control; |
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Classical lecturing, question and answer |
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5 |
trial and error approach to fuzzy control design, |
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Classical lecturing, question and answer |
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6 |
stable fuzzy control of linear systems |
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Classical lecturing, question and answer |
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7 |
optimal fuzzy control of linear systems, |
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Classical lecturing, question and answer |
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9 |
robust fuzzy control of linear systems, |
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Classical lecturing, question and answer |
|
10 |
fuzzy sliding control of nonlinear systems, |
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Classical lecturing, question and answer |
|
11 |
gain scheduling of PID controller using fuzzy systems. |
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Classical lecturing, question and answer |
|
12 |
Adaptive fuzzy control; |
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Classical lecturing, question and answer |
|
13 |
direct and indirect adaptive fuzzy controllers. |
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Classical lecturing, question and answer |
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14 |
Stability of fuzzy control systems. |
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Classical lecturing, question and answer |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
 Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach, Kazuo Tanaka, Hua O. Wang, John Wiley & Sons, Inc.
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| |
| Required Course Material(s) | |
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Assessment Methods and Assessment Criteria |
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Semester/Year Assessments |
Number |
Contribution Percentage |
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Mid-term Exams (Written, Oral, etc.) |
1 |
25 |
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Homeworks/Projects/Others |
5 |
75 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
| |
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Final Assessments
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100 |
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Rate of Final Assessments to Success
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60 |
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Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
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1 |
Reaches wide and deep knowledge through scientific research in the field of computer engineering, evaluates, implements, and comments. |
5 |
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2 |
Describes and uses information hidden in limited or missing data in the field of computer engineering by using scientific methods and integrates it with information from various disciplines. |
4 |
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3 |
Follows new and emerging applications of computer engineering profession, if necessary, examines and learns them |
5 |
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4 |
Develops methods and applies innovative approaches in order to formulate and solve problems in computer engineering. |
5 |
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5 |
Proposes new and/or original ideas and methods in the field of computer engineering in developing innovative solutions for designing systems, components or processes. |
5 |
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6 |
Designs and implements analytical modeling and experimental research and solves the complex situations encountered in this process in the field of Computer Engineering |
4 |
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7 |
works in multi disciplinary teams and takes a leading role and responsibility. |
4 |
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8 |
Learns at least one foreign language at the European Language Portfolio B2 level to communicate orally and written |
4 |
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9 |
Presents his/her research findings systematically and clearly in oral and written forms in national and international meetings. |
5 |
|
10 |
Describes social and environmental implications of engineering practice. |
4 |
|
11 |
Considers social, scientific and ethical values in collection, interpretation and announcement of data. |
5 |
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12 |
Acquires a comprehensive knowledge about methods and tools of computer engineering and their limitations. |
4 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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| Student Workload - ECTS |
| Works | Number | Time (Hour) | Total Workload (Hour) |
| Course Related Works |
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Class Time (Exam weeks are excluded) |
14 |
3 |
42 |
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Out of Class Study (Preliminary Work, Practice) |
14 |
4 |
56 |
| Assesment Related Works |
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Homeworks, Projects, Others |
5 |
5 |
25 |
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Mid-term Exams (Written, Oral, etc.) |
1 |
14 |
14 |
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Final Exam |
1 |
14 |
14 |
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Total Workload: | 151 |
| Total Workload / 25 (h): | 6.04 |
| ECTS Credit: | 6 |
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