Course Name Code Semester T+U Hours Credit ECTS
System Theory EEM 501 0 3 + 0 3 6
 Precondition Courses Recommended Optional Courses Course Language Turkish Course Level yuksek_lisans Course Type Compulsory Course Coordinator Prof.Dr. AŞKIN DEMİRKOL Course Lecturers Prof.Dr. AŞKIN DEMİRKOL, Course Assistants Res.Asst. Aydin Muhurcu Course Category Course Objective 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. Course Content 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.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Learninig the fundamental concepts about Linear systems theory. Lecture, Question-Answer, Case Study, Problem Solving, Testing, Homework,
2 Comprehending modelling and analysis technique for linear systems. Lecture, Question-Answer, Case Study, Problem Solving, Testing, Homework,
Week Course Topics Preliminary Preparation
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
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.
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
4 Ability; To develop new and original ideas and methods, To develop new innovative solutions at design of system, component or process
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.
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.
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.
8 Ability; To lead multi-disciplinary teams To take responsibility to define approaches for complex situations.
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
10 Social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, announcement.
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.
12 Ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment.
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. Kısa Sınav 20
1. Ara Sınav 60
2. Kısa Sınav 20
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 4 64
Mid-terms 1 10 10
Quiz 2 5 10
Final examination 1 10 10