Ders Bilgileri

#### Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
MULTI INPUT- OUTPUT CONTROL SYSTEMS EEM 510 0 3 + 0 3 6
 Dersin Dili Türkçe Dersin Seviyesi Yüksek Lisans Dersin Türü SECMELI Dersin Koordinatörü Prof.Dr. ERTAN YANIKOĞLU Dersi Verenler Dersin Yardımcıları Res.Asst. Aydin Muhurcu Dersin Kategorisi Dersin Amacı State space techniques are very useful for analysis of the multi input/multi output physical and nonphysical 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 multi input /multi output linear sytems, fundamental methods used in control of system dynamics and state space analysis and design algorithms. Dersin İçeriği Mathematical background, multi input/multi output physical system examples. Tranfer matrix, State space representation, the relations between transfer function and state space representalion, State controllability and state observability consepts. Feedack and pole assigment for multi input dynamics systems, Observer design for multi output dynamic systems. Kalman and extended kalman filtering algorithms based state and parameter estimation, Introduction optimal control.
 Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
 Öğretim Yöntemleri: Ölçme Yöntemleri:

#### Ders Akışı

Hafta Konular ÖnHazırlık
1 Mathematical background, multi input/multi output physical system examples.
2 Transfer function ve transfer matrix
3 the relations between transfer function and state space representalion
4 State controllability concepts for multi input syatems
5 State observability concepts for multi output systems
6 Dualite concept.
7 State feedback and pole assigment for multi input systems.
8 State feedback and pole assigment for multi input systems
9 Full order observers for multi output sistems.
10 Reduced order observers for multi output sistems.
11 Reduced order observers for multi output sistems.
12 Kalman filtering algorithm based state estimation
13 Kalman filtering algorithm based paameter estimation
14 Introduction optimal control

Ders Notu
Ders Kaynakları

#### 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. X
14 Ability; to Access to wide and deep information with scientific researches in the field of Engineering, evaluate, interpret knowledge and implement. X
15 Ability; To complete and implement “Limited or incomplete data” by using the scientific methods. To stick knowledge of different disciplinarians together. X
16 Ability; To complete and implement “Limited or incomplete data” by using the scientific methods. To stick knowledge of different disciplinarians together. X
17 Ability; to consolidate engineering problems, develop proper method to solve and apply innovative solutions. X
18 Ability; to consolidate engineering problems, develop proper method to solve and apply innovative solutions. X
19 Ability; To develop new and original ideas and methods, To develop new innovative solutions at design of system, component or process X
20 Ability; To develop new and original ideas and methods, To develop new innovative solutions at design of system, component or process X
21 Comprehensive information on modern techniques, methods and their borders which are being applied to engineering. X
22 Comprehensive information on modern techniques, methods and their borders which are being applied to engineering. X
23 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
24 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
25 High level ability to define the required information, data and reach, assess. X
26 High level ability to define the required information, data and reach, assess. X
27 Ability; To lead multi-disciplinary teams To take responsibility to define approaches for complex situations. X
28 Ability; To lead multi-disciplinary teams To take responsibility to define approaches for complex situations. X
29 Systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
30 Systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
31 Social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, announcement. X
32 Social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, announcement. X
33 Awareness at new and developing application of profession and ability to analyze and study on those applications. X
34 Awareness at new and developing application of profession and ability to analyze and study on those applications. X
35 Ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment. X
36 Ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment. X

#### Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 50
Odev 1 4
PerformansGoreviSeminer 1 30
Odev 2 4
Odev 3 4
Odev 4 4
Odev 5 4
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 2 32
Mid-terms 5 5 25
Quiz 1 20 20
Assignment 1 25 25
Performance Task (Laboratory) 1 40 40
Toplam İş Yükü 190
Toplam İş Yükü /25(s) 7.6
Dersin AKTS Kredisi 7.6
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