Course Details

ELE 354 Control Systems

The course is not open this term

Timing data are obtained using weekly schedule program tables. To make sure whether the course is cancelled or time-shifted for a specific week one should consult the supervisor and/or follow the announcements.

Course definition tables are extracted from the ECTS Course Catalog web site of Hacettepe University ( in real-time and displayed here. Please check the appropriate page on the original site against any technical problems. Course data last updated on 19/08/2022.


Course Name Code Semester Theory
Credit ECTS
CONTROL SYSTEMS ELE354 6th Semester 3 0 3 5
Prerequisite(s)ELE301 Signals and Systems
Course languageEnglish
Course typeMust 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Question and Answer
Problem Solving
Other: This course must be taken together with ELE356 CONTROL SYSTEMS LABORATORY.  
Instructor (s)Faculty members 
Course objectiveThe main purpose of this course is to teach fundamental analysis methods for control systems. The analysis methods discussed in the course are also useful for control system design; however analysis aspects of the methods will be emphasized. Various methods for transient analysis, steady-state analysis and stability analysis will be studied. To that end, after a comprehensive introduction to systems modeling; both frequency domain and time domain approaches are studied in detail. Design point of view is given implicitly via analysis examples. The topics covered in the course are reinforced via experiments conducted in ELE 356 (Control Systems Laboratory). 
Learning outcomes
  1. A student who completes the course successfully will
  2. 1. Understand the basic principles and characteristics of feedback control systems.
  3. 2. Obtain mathematical models of various physical systems.
  4. 3. Perform stability analysis of feedback control systems via different methods.
  5. 4. Understand the design and realization of control system components to meet given specifications.
  6. 5. Recognize, formulate and solve some control engineering problems.
  7. 6. Have a working knowledge of existing software tools necessary both for control engineering practice and academic research.
Course ContentHistorical perspective of control systems. Basic concepts of open-loop and closed-loop, feedback. Models of physical systems: electrical systems, mechanical systems, fluid systems, thermal systems, servomotors, electro-mechanical systems. Block diagrams, signal-flow graphs. Time response analysis, steady-state error analysis. Sensitivity, disturbance rejection and stability analysis, Routh-Hurwitz criterion. Root-Locus plotting. Frequency response analysis: Bode, polar and magnitude-phase plots, Nyquist analysis, gain/phase margins, Nichols chart. State-space analysis: State-space description, state transition matrix, similarity transformation, diagonalization of system matrix, modal decomposition, companion forms, transfer function decomposition, controllability and observability. State-space design: State feedback, state observer. 
References[1] Ogata K., Modern Control Engineering, 5/e, Prentice Hall, 2010.
[2] Dorf R.C., and Bishop R.H., Modern Control Systems, 12/e, Prentice Hall, 2011.
[3] Franklin G.F., Powell J.D, and Emami-Naeini A., Feedback Control of Dynamical Systems, 6/e, Prentice Hall, 2010.
[4] Golnaraghi F., and Kuo B.C., Automatic Control Systems, 9/e, John Wiley, 2009.
[5] Nise N.S., Control Systems Engineering, 6/e, John Wiley, 2011.

Course outline weekly

Week 1Historical perspective of control systems, basic concepts of open-loop and closed-loop, feedback
Week 2Models of physical systems: Electrical systems, mechanical systems
Week 3Models of physical systems: Fluid systems, thermal systems
Week 4Models of physical systems: Servomotors, electro-mechanical systems, block diagrams, signal-flow graphs
Week 5Time response analysis
Week 6Steady-state error analysis, sensitivity, disturbance rejection
Week 7Stability analysis, Routh-Hurwitz criterion
Week 8Root-Locus plotting
Week 9Midterm Exam
Week 10Frequency response analysis: Bode, polar and magnitude-phase plots
Week 11Frequency response analysis: Nyquist analysis, gain/phase margins, Nichols chart
Week 12State-space analysis: State-space description, state transition matrix, similarity transformation, diagonalization of system matrix
Week 13State-space analysis: Modal decomposition, companion forms, transfer function decomposition, controllability and observability
Week 14State-space design: State feedback, state observer
Week 15Final exam preparation
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Field activities00
Specific practical training00
Final exam160
Percentage of semester activities contributing grade succes040
Percentage of final exam contributing grade succes060

Workload and ECTS calculation

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14570
Presentation / Seminar Preparation000
Homework assignment000
Midterms (Study duration)11010
Final Exam (Study duration) 12828
Total Workload3046150

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
1. PO1. Possesses the theoretical and practical knowledge required in Electrical and Electronics Engineering discipline.    X 
2. PO2. Utilizes his/her theoretical and practical knowledge in the fields of mathematics, science and electrical and electronics engineering towards finding engineering solutions.   X 
3. PO3. Determines and defines a problem in electrical and electronics engineering, then models and solves it by applying the appropriate analytical or numerical methods.    X 
4. PO4. Designs a system under realistic constraints using modern methods and tools.   X 
5. PO5. Designs and performs an experiment, analyzes and interprets the results. X   
6. PO6. Possesses the necessary qualifications to carry out interdisciplinary work either individually or as a team member.  X   
7. PO7. Accesses information, performs literature search, uses databases and other knowledge sources, follows developments in science and technology. X   
8. PO8. Performs project planning and time management, plans his/her career development. X   
9. PO9. Possesses an advanced level of expertise in computer hardware and software, is proficient in using information and communication technologies. X   
10. PO10. Is competent in oral or written communication; has advanced command of English.X    
11. PO11. Has an awareness of his/her professional, ethical and social responsibilities.X    
12. PO12. Has an awareness of the universal impacts and social consequences of engineering solutions and applications; is well-informed about modern-day problems. X   
13. PO13. Is innovative and inquisitive; has a high level of professional self-esteem. X   

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

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