Course Name Code Semester T+U Hours Credit ECTS
Multi Input- Output Control Systems EEM 510 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 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.
Course Content 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.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Learninig the fundamental concepts about multi input/multi output lLinear systems theory.
2 Comprehending the modelling and design techniques for multi input/multi output linear continuous systems
3 Comprehending pole assigment tecniques for controlling of the multi nput system dynamic
4 Learning observer concepts for multi output linear systems , to gain experience on using of the observer design techniques.
5 Learning stability methods for the multi input/multi output dynamics systems.
Week Course Topics Preliminary Preparation
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
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 20 20
Assignment 1 25 25
Performance Task (Laboratory) 1 40 40
Total Workload 190
Total Workload / 25 (Hours) 7.6
dersAKTSKredisi 6