Course Name Code Semester T+U Hours Credit ECTS
Systems With Computer Control EEM 551 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Prof.Dr. ERTAN YANIKOĞLU
Course Lecturers
Course Assistants Res.Asst. Aydin Muhurcu
Course Category
Course Objective Discrete state space techniques are very useful for analysis of the Computer controlled physical systems and for control of the system dynamics.
The objective of this course, which uses digital techniues , is to introduce the state space representation of the computer controlled systems , fundamental methods used in control of digital system dynamics and state space analysis and design algorithms.
Course Content Mathematical background, Digital system examples, Anolog/Digital conversion and z transform, Pulse transfer function and frequency response, Stability of the digital systems, State space modelling algorithms in digital systems, State controllability, State feedback and
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Learninig fundamental concepts about computer controlled systems.
2 Comprehending state space modelling and dynamics state feedback in digital systems
3 Gaining experience on using of the observer design techniques for digital systems
4 Learninig linear optimal control consepts
5 Comprehending Kalman and extended kalman filtering based state and parameter estimation algorithms.
Week Course Topics Preliminary Preparation
1 Mathematical background, Digital system examples
2 Anolog/Digital conversion and z transform
3 Pulse transfer function and frequency response
4 Stability of the digital systems
5 State space modelling algorithms in digital systems
6 State controllability
7 State feedback
8 Pole assignment
9 State observability
10 Observers and observer design
11 Kalman filtering alorithm based state and parameter estimation
12 Extended Kalman filtering alorithm based state estimation
13 Extended Kalman filtering alorithm based parameter estimation
14 Introduction digital optimal conrol
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
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
1 Ability; to Access to wide and deep information with scientific researches in the field of Engineering, evaluate, interpret knowledge and implement. X
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
2 Ability; To complete and implement “Limited or incomplete data” by using the scientific methods. To stick knowledge of different disciplinarians together. 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
3 Ability; to consolidate engineering problems, develop proper method to solve and apply innovative solutions. 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
4 Ability; To develop new and original ideas and methods, To develop new innovative solutions at design of system, component or process 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
5 Comprehensive information on modern techniques, methods and their borders which are being applied to engineering. 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
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
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
7 High level ability to define the required information, data and reach, assess. 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
8 Ability; To lead multi-disciplinary teams To take responsibility to define approaches for complex situations. 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
9 Systematic and clear verbal or written transfer of the process and results of studies at national and international environments 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
10 Social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, announcement. 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
11 Awareness at new and developing application of profession and ability to analyze and study on those applications. 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
12 Ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment. X
12 Ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment. X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 50
1. Ödev 4
1. Performans Görevi (Seminer) 30
2. Ödev 4
3. Ödev 4
4. Ödev 4
5. Ödev 4
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
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 25 25
Assignment 1 20 20
Performance Task (Laboratory) 1 30 30
Total Workload 180
Total Workload / 25 (Hours) 7.2
dersAKTSKredisi 6