EE649 Adaptive Control Strategies

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code EE649
Name Adaptive Control Strategies
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language İngilizce
Level Doktora Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. İLYAS EKER


Course Goal

To give information about besic features of adaptive control systems

Course Content

Theoretical information about Adaptive on line identification and control

Course Precondition

none

Resources

Self-Tuning Systems

Notes

Adaptive Control Systems


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Analysis of adaptive control systems
LO02 Classification of identification models
LO03 Describe data sampling
LO04 learn on-line and off-line identification
LO05 Analysis of stability of adaptive control system


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Being able to specialize in at least one of the branches that form the foundations of Electrical and Electronics Engineering by increasing the level of knowledge beyond the master's level 5
PLO02 Bilgi - Kuramsal, Olgusal To comprehend the integrity of all the subjects included in the field of specialization. 4
PLO03 Bilgi - Kuramsal, Olgusal Having knowledge of the current scientific literature in the field of specialization to analyze the literature critically 3
PLO04 Bilgi - Kuramsal, Olgusal To comprehend the interdisciplinary interaction of the field with other related branches, to suggest similar interactions.
PLO05 Bilgi - Kuramsal, Olgusal Ability to do theoretical and experimental work
PLO06 Bilgi - Kuramsal, Olgusal To create a complete scientific text by compiling the information obtained from the research 3
PLO07 Bilgi - Kuramsal, Olgusal To work on the thesis topic programmatically, following the logical integrity required by the subject within the framework determined by the advisor.
PLO08 Bilgi - Kuramsal, Olgusal To search for literature in scientific databases, particularly the ability to correctly and accurately scan databases and evaluate and categorize listed items. 3
PLO09 Bilgi - Kuramsal, Olgusal Having a command of English and related English jargon at a level that can easily read and understand a scientific text written in English in the field of specialization and write a similar text
PLO10 Bilgi - Kuramsal, Olgusal Ability to write a computer program in a familiar programming language, generally for a specific purpose, specifically related to the field of expertise.
PLO11 Bilgi - Kuramsal, Olgusal Ability to plan and teach lessons related to the field of specialization or related fields 2
PLO12 Bilgi - Kuramsal, Olgusal Being able to guide and take the initiative in environments that require solving problems related to the field 3
PLO13 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Ability to communicate with people in an appropriate language
PLO14 Yetkinlikler - Öğrenme Yetkinliği Adopting the ethical values required by both education and research aspects of academician 3
PLO15 Yetkinlikler - Öğrenme Yetkinliği To be able to produce projects, policies, and processes in the field of expertise and to evaluate these elements 3
PLO16 Yetkinlikler - Öğrenme Yetkinliği Ability to research new topics based on existing research experience 3


Week Plan

Week Topic Preparation Methods
1 Introduction to identification and adaptive control Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
2 Adaptive control methods: Implicit and Explicit Approaches, signals Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
3 Digital identification: Off line and on-line idetifications Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
4 Models used in identification algorithms Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
5 Data sampling for identification and control Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
6 Introduction to parameter estimation Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
7 Off line least squares estimation Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
8 Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav
9 On line least squares estimation Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
10 Recursive Estimation Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
11 Estimation algorithm parameters Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
12 Covariance matrix, Forgetting factor, parameter convergence Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
13 Controller design based on estimated parameters Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
14 Control integrity Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
15 Adaptive stability Review of the theoretical information Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
16 Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS