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Course Description Course Name : Self-Tuning Control Course Code : EE-642 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Spring (16 Weeks) ECTS : 6 Name of Lecturer(s) : Assoc.Prof.Dr. İLYAS EKER Learning Outcomes of the Course : Knows self-tuning control Knows system identification Knows sample-time dependent control Knows self-tuning control methods Knows the implementation of self-tuning control Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : To describe self-tuning control and operation in closed-loop conditions Course Contents : Introduction to basic theory. Structure of self-tuning systems. Self-tuning methods. Approaches and alternatives to self-tuning and adaptation. Industrial expectations of self-tuning systems. Introduction to identification problem. Closed and open-loop paramater estimation. Identification parameters. Characteristics of system and plant dynamics for self-tuning applications. Choice of sample time for identification and control. Multi-rate self-tuning control. Self-tuning controllers. Interpretations of self-tuners: Time and frequency domain. Industrial Examples. Use of Matlab-M files and Simulink for self-tuning. Language of Instruction : English Work Place : Clasrooms of Electrical and Electronic Engineering Department (Base level)   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Introduction to basic theory. Lecture 2 Structure of self-tuning systems. Review of the previous information Lecture 3 Structure of self-tuning systems. Review of the previous information Lecture 4 Approaches and alternatives to self-tuning and adaptation. Review of the previous information Lecture 5 Industrial expectations of self-tuning systems Review of the previous information Lecture 6 Introduction to identification problem. Review of the previous information Lecture 7 Closed and open-loop paramater estimation. Review of the previous information Lecture 8 Mid-term examination Written examination 9 Identification problem Review of the previous information Lecture 10 Characteristics of system and plant dynamics for self-tuning applications. Review of the previous information Lecture 11 Choice of sample time for identification and control. Review of the previous information Lecture 12 Multi-rate self-tuning control. Self-tuning controllers. Review of the previous information Lecture 13 Interpretations of self-tuners: Time and frequency domain. Review of the previous information Lecture 14 Öngürülü kontrol Review of the previous information Lecture 15 Use of Matlab-M files and Simulink for self-tuning. Review of the previous information Lecture 16/17 Final examination Written examination   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Wellstead, P.E. and Zarrop, M.B., 1991, Self-tuning Systems-Control and Signal Processing, John Wiley and Sons Lmt.,ISNB: 0-471-93054-7 Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 80     Homeworks/Projects/Others 7 20 Total 100 Rate of Semester/Year Assessments to Success 40   Final Assessments 100 Rate of Final Assessments to Success 60 Total 100   Contribution of the Course to Key Learning Outcomes # Key Learning Outcome Contribution* 1 Communicates with people in an appropriate language and style. 1 2 Specializes by furthering his knowledge level at least in one of the basic subfields of electiral-electronic engineering. 3 3 Grasps the integrity formed by the topics involved in the field of specialization. 3 4 Grasps and follows the existing literature in the field of specialization. 3 5 Comprehends the interdisciplinary interaction of his field with other fields. 3 6 Has the aptitude to pursue theoretical and experimental work. 3 7 Forms a scientific text by compiling the knowledge obtained from research. 3 8 Works in a programmed manner within the framework set by the advisor on the thesis topic, in accordance with the logical integrity required by this topic. 3 9 Performs a literature search in scientific databases; in particular, to scan the databases in an appropriate manner, to list and categorize the listed items. 3 10 Has English capability at a level adequate to read and understand a scientific text in his field of specialization, written in English. 3 11 Compiles his/her knowledge in his/her field of specialization. in a presentation format, and presents in a clear and effective way. 1 12 Writes a computer code aimed at a specific purpose, in general, and related with his/her field of specialization, in particular 1 13 Pursues research ın new topics based on his/her existing research experıence. 3 14 Gives guidance in environments where problems related with his/her field need to be solved, and takes initiative. 3 15 Develops and evaluates projects, policies and processes in his field of specialization. 3 * Contribution levels are between 0 (not) and 5 (maximum).   Student Workload - ECTS Works Number Time (Hour) Total Workload (Hour) Course Related Works     Class Time (Exam weeks are excluded) 14 3 42     Out of Class Study (Preliminary Work, Practice) 14 3 42 Assesment Related Works     Homeworks, Projects, Others 7 7 49     Mid-term Exams (Written, Oral, etc.) 1 5 5     Final Exam 1 5 5 Total Workload: 143 Total Workload / 25 (h): 5.72 ECTS Credit: 6