EE311 Control System Design
EE311 Control System Design
Syllabus | International University of Sarajevo - Last Update on Sep 09, 2025
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Electrical and Electronics Engineering
Asif Šabanović
Course Lecturer
Course Objectives
The course aims at equipping the students with an understanding of fundamental issues in control systems; the usage of a sophisticated set of tools for analysis and design of control systems; engagement in realistic case studies in order to introduce students to real design problems.
Learning Outcomes
After successful completion of the course, the student will be able to:
Course Materials
Required Textbook
AG.F. Franklin, J.D. Powel and A.Emami-Naeni: Feedback Control of Dynamic Systems, Prentice Hall, 2004, ISBN0-13-098041-2 Karl Johan Astrom Control System Design Lecture notes for ME 155, Dept of Mechanical and Environmental Engineering, University of California, Santa Barbara, (2002)
Additional Literature
Karl Johan Astrom and Richard M. Murray, Feedback Systems- An Introduction for Scientists and Engineers, Princeton University Press, ISBN-13: 978-0-691-13576-2 (alk. paper); ISBN-10: 0-691-13576-2 (alk. paper) The electronic edition of Feedback Systems and is available from ttp://www.cds.caltech.edu/∼murray/amwiki.Teaching Methods
Class discussions with examples
Active tutorial sessions for engaged learning and continuous feedback on progress
Assignments and laboratory exercises that involve work with commercial programmable logic circuits
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Practical Information, Content of the Course | Ch 1 |
| 2 | System Modeling | Ch 2, Handout |
| 3 | Dynamic Behavior | Ch 3, 4, Handout |
| 4 | Linear Systems | Ch 7.1-7.4, Handout |
| 5 | State Feedback | Ch 7.5-7.6, Handout |
| 6 | Output Feedback | Ch 7.7-7.8, Handout |
| 7 | Observers | Ch 7.7-7.8, Handout |
| 8 | Midterm Exam | |
| 9 | Disturbance Observer | Handout |
| 10 | Transfer Function | Ch 6.1-6.2, Handout |
| 11 | Frequency Domain Analysis | Ch 6.3-6.6, Handout |
| 12 | PID control | Ch 6.7, Handout |
| 13 | Frequency Domain Design | Ch 6.7, Handout |
| 14 | Course Review | Handout |
| 15 | Answers to Students' Questions |
Course Schedule (All Sections)
| Section | Type | Day 1 | Venue 1 | Day 2 | Venue 2 |
|---|---|---|---|---|---|
| EE311.1 | Course | Tuesday 09:00 - 11:50 | B F2.1 | - | - |
| EE311.1 | Tutorial | Wednesday 16:00 - 17:50 | A B.2 - EE Lab | - | - |
Office Hours & Room
| Day | Time | Office | Notes |
|---|---|---|---|
| Tuesday | 09:00 - 16:00 | A G.5 | |
| Wednesday | 09:00 - 14:00 | A G.5 |
Assessment Methods and Criteria
Assessment Components
Final Exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
Midterm Exam
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4
HW/LAB Assignments
AI: Not AllowedAlignment with Learning Outcomes : 3 4 5
IUS Grading System
| Grading Scale | IUS Grading System | IUS Coeff. | Letter (B&H) | Numerical (B&H) |
|---|---|---|---|---|
| 0 - 44 | F | 0 | F | 5 |
| 45 - 54 | E | 1 | ||
| 55 - 64 | C | 2 | E | 6 |
| 65 - 69 | C+ | 2.3 | D | 7 |
| 70 -74 | B- | 2.7 | ||
| 75 - 79 | B | 3 | C | 8 |
| 80 - 84 | B+ | 3.3 | ||
| 85 - 94 | A- | 3.7 | B | 9 |
| 95 - 100 | A | 4 | A | 10 |
Late Work Policy
Information about late submission policies will be shared during class and posted in this section. Please check back for official guidelines.
ECTS Credit Calculation
📚 Student Workload
This 6 ECTS credit course corresponds to 150 hours of total student workload, distributed as follows:
Lecture Hours
42 hours ⏳ (14 week × 3 h)
Assignments
40 hours ⏳ (5 week × 8 h)
Home Study
28 hours ⏳ (14 week × 2 h)
Mid-term exam study
20 hours ⏳ (1 week × 20 h)
Final Exam Study
20 hours ⏳ (1 week × 20 h)
150 Total Workload Hours
6 ECTS Credits
Course Policies
Academic Integrity
All work submitted must be your own. Plagiarism, cheating, or any form of academic dishonesty will result in disciplinary action according to university policies. When in doubt about citation practices, consult the instructor.
Attendance Policy
Students are expected to adhere to the attendance requirements as outlined in the International University of Sarajevo Study Rules and Regulations. Excessive absences, whether excused or unexcused, may impact academic performance and eligibility for assessment. Mandatory sessions (e.g., labs, workshops) require attendance unless formally exempted. For detailed policies on absences, documentation, and penalties, please refer to the official university regulations.
Technology & AI Policy
Laptops/tablets may be used for note-taking only during lectures. Phones should be silenced and put away during all class sessions. Audio/video recording requires prior permission from the instructor.
Artificial Intelligence (AI) Usage: The use of AI tools (e.g., ChatGPT, Copilot, Gemini) varies by assessment component. Please refer to the AI usage indicator next to each assessment item in the Assessment Methods and Criteria section above. Submitting AI-generated content as your own work, where AI is not explicitly allowed, constitutes an academic integrity violation.
Communication Policy
All course-related communication should occur through official university channels (institutional email or SIS). Emails should include [EE311] in the subject line.
Academic Quality Assurance Policy
Course Academic Quality Assurance is achieved through Semester Student Survey. At the end of each academic year, the institution of higher education is obliged to evaluate work of the academic staff, or the success of realization of the curricula.
Learning Tips
Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.
Complete assigned readings or prep materials before class. Take notes, highlight key ideas, and jot down questions. Aim to grasp core concepts and their applications—not just facts.
Use course frameworks or methodologies to analyze problems, case studies, or projects. Begin early to allow time for reflection and refinement. Seek feedback to improve your work.
Don’t hesitate to reach out when something is unclear. Use office hours, discussion boards, or peer networks to clarify concepts and stay on track.
Syllabus Last Updated on Sep 09, 2025 | International University of Sarajevo
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Referencing Curricula Print this page
| Course Code | Course Title | Weekly Hours* | ECTS | Weekly Class Schedule | ||||||
| T | P | |||||||||
| EE311 | Control System Design | 3 | 2 | 6 | ||||||
| Prerequisite | ENS206 | It is a prerequisite to | - | |||||||
| Lecturer | Asif Šabanović | Office Hours / Room / Phone | Tuesday: 9:00-16:00 Wednesday: 9:00-14:00 |
|||||||
| asabanovic@ius.edu.ba | ||||||||||
| Assistant | Assistant E-mail | |||||||||
| Course Objectives | The course aims at equipping the students with an understanding of fundamental issues in control systems; the usage of a sophisticated set of tools for analysis and design of control systems; engagement in realistic case studies in order to introduce students to real design problems. | |||||||||
| Textbook | AG.F. Franklin, J.D. Powel and A.Emami-Naeni: Feedback Control of Dynamic Systems, Prentice Hall, 2004, ISBN0-13-098041-2 Karl Johan Astrom Control System Design Lecture notes for ME 155, Dept of Mechanical and Environmental Engineering, University of California, Santa Barbara, (2002) | |||||||||
| Additional Literature |
|
|||||||||
| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
|
||||||||||
| Teaching Methods | Class discussions with examples. Active tutorial sessions for engaged learning and continuous feedback on progress. Assignments and laboratory exercises that involve work with commercial programmable logic circuits. | |||||||||
| Teaching Method Delivery | Face-to-face | Teaching Method Delivery Notes | ||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | Practical Information, Content of the Course | Ch 1 | ||||||||
| Week 2 | System Modeling | Ch 2, Handout | ||||||||
| Week 3 | Dynamic Behavior | Ch 3, 4, Handout | ||||||||
| Week 4 | Linear Systems | Ch 7.1-7.4, Handout | ||||||||
| Week 5 | State Feedback | Ch 7.5-7.6, Handout | ||||||||
| Week 6 | Output Feedback | Ch 7.7-7.8, Handout | ||||||||
| Week 7 | Observers | Ch 7.7-7.8, Handout | ||||||||
| Week 8 | Midterm Exam | |||||||||
| Week 9 | Disturbance Observer | Handout | ||||||||
| Week 10 | Transfer Function | Ch 6.1-6.2, Handout | ||||||||
| Week 11 | Frequency Domain Analysis | Ch 6.3-6.6, Handout | ||||||||
| Week 12 | PID control | Ch 6.7, Handout | ||||||||
| Week 13 | Frequency Domain Design | Ch 6.7, Handout | ||||||||
| Week 14 | Course Review | Handout | ||||||||
| Week 15 | Answers to Students' Questions | |||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final Exam | 1 | 35 | 1,2,3,4 | Not Allowed | |
| Semester Evaluation Components | |||||
| Midterm Exam | 1 | 25 | 1,2,3,4 | Not Allowed | |
| HW/LAB Assignments | 8 | 40 | 3,4,5 | Not Allowed | |
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture Hours | 3 | 14 | 42 | Assignments | 8 | 5 | 40 | |||
| Home Study | 2 | 14 | 28 | Mid-term exam study | 20 | 1 | 20 | |||
| Final Exam Study | 20 | 1 | 20 | 0 | ||||||
| Total Workload Hours = | 150 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 19/09/2025 | |||||||||