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Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
SYSTEM THEORY EEM 501 0 3 + 0 3 6
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Yüksek Lisans
Dersin Türü ZORUNLU
Dersin Koordinatörü Prof.Dr. AŞKIN DEMİRKOL
Dersi Verenler Prof.Dr. AŞKIN DEMİRKOL
Dersin Yardımcıları Res.Asst. Aydin Muhurcu
Dersin Kategorisi
Dersin Amacı
State space techniques are very useful for analysis of the physical and no physical systems and for control of the system dynamics.
The objective of this course, which uses matrix operations, is to introduce the state space representation of the linear sytems, fundamental methods used in control of system dynamics and state space analysis and design algorithms.
Dersin İçeriği
Mathematical background, Eigen value and eigen vector concepts, State space modelling of the Linear systems, Multi input/Multi output systems, Coordinate tarnsformations, Matrix polynomials and series, Linear system analysis, Pole assigment in state space, design, Observer and Compensator design, Stability.
Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - Learninig the fundamental concepts about Linear systems theory. 1 - 2 - 12 - 15 - A - C -
2 - Comprehending modelling and analysis technique for linear systems. 1 - 2 - 12 - 15 - A - C -
Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 12:Case Study 15:Problem Solving
Ölçme Yöntemleri: A:Testing C:Homework

Ders Akışı

Hafta Konular ÖnHazırlık
1 System’s clasification
2 Mathematical background: Mathematical operations, Vectors and vector space, eigen value and eigen vector concepts.
3 Calculation techniques of the eigen values and eigen vectors.
4 Definition of the state space models from transfer functions.
5 Important canonical forms.
6 Multi input/Multi output systems.
7 Coordinate transforms
8 Matrix polynomials and matrix series
9 Linear system analysis
10 Calculation of the State Transition Matrix
11 Pole assigment using feedback
12 Linear regulators
13 Asymtotic observers
14 Compensator design and Stabiliy

Kaynaklar

Ders Notu
Ders Kaynakları

Döküman Paylaşımı


Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 Ability; to Access to wide and deep information with scientific researches in the field of Engineering, evaluate, interpret knowledge and implement. X
2 Ability; To complete and implement “Limited or incomplete data” by using the scientific methods. To stick knowledge of different disciplinarians together. X
3 Ability; to consolidate engineering problems, develop proper method to solve and apply innovative solutions. X
4 Ability; To develop new and original ideas and methods, To develop new innovative solutions at design of system, component or process X
5 Comprehensive information on modern techniques, methods and their borders which are being applied to engineering. X
6 Ability; to design and apply analytical, modeling and experimental based research, analyze and interpret the faced complex issues during the design and apply process. X
7 High level ability to define the required information, data and reach, assess. X
8 Ability; To lead multi-disciplinary teams To take responsibility to define approaches for complex situations. X
9 Systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
10 Social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, announcement. X
11 Awareness at new and developing application of profession and ability to analyze and study on those applications. X
12 Ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment. X
13 Ability; to Access to wide and deep information with scientific researches in the field of Engineering, evaluate, interpret knowledge and implement.
14 Ability; To complete and implement “Limited or incomplete data” by using the scientific methods. To stick knowledge of different disciplinarians together. X
15 Ability; to consolidate engineering problems, develop proper method to solve and apply innovative solutions. X
16 Ability; To develop new and original ideas and methods, To develop new innovative solutions at design of system, component or process
17 Comprehensive information on modern techniques, methods and their borders which are being applied to engineering.
18 Ability; to design and apply analytical, modeling and experimental based research, analyze and interpret the faced complex issues during the design and apply process.
19 High level ability to define the required information, data and reach, assess.
20 Ability; To lead multi-disciplinary teams To take responsibility to define approaches for complex situations.
21 Systematic and clear verbal or written transfer of the process and results of studies at national and international environments
22 Social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, announcement.
23 Awareness at new and developing application of profession and ability to analyze and study on those applications.
24 Ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment.

Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 60
KisaSinav 1 20
KisaSinav 2 20
Toplam 100
Yıliçinin Başarıya Oranı 50
Finalin Başarıya Oranı 50
Toplam 100

AKTS - İş Yükü

Etkinlik Sayısı Süresi(Saat) Toplam İş yükü(Saat)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 4 64
Mid-terms 1 10 10
Quiz 2 5 10
Final examination 1 10 10
Toplam İş Yükü 142
Toplam İş Yükü /25(s) 5.68
Dersin AKTS Kredisi 5.68
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