EE412 Motion Control System
Syllabus | International University of Sarajevo - Last Update on Feb 02, 2026
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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 mo0tion control systems, the usage of a sophisticated set of tools for analysis and design of motion 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
Asif Šabanović and Kouhei Ohnishi, Motion Control Systems, IEEE Press, John Willey & Sons (Asia) Pte Ltd, 2011, ISBN978-0-470-82573-0; Ned Mohan, Electric Drives An Integrative Approach, MNPRE Minneapolis, 2003, ISBN 0-9715292-5-6
Additional Literature
Teaching Methods
Class discussions with examples
Team project, supported by tutorial sessions for engaged learning and continuous feedback on progress
Weekly Topics
| Week | Topic | Readings / References |
|---|---|---|
| 1 | Practical Information, Content of the Course | |
| 2 | Dynamic System Modeling | Ch 1, Handout |
| 3 | Control System Design Fundamentals | Ch 2 |
| 4 | Actuators and Measurement in Motion Control Systems | Handout |
| 5 | Acceleration Control | Ch 3 |
| 6 | Acceleration Control | Ch 3 |
| 7 | MIDTERM EXAM | Ch1,2,3 |
| 8 | Disturtbance Estimation and Comp'ensation | Ch 4 |
| 9 | Disturtbance Estimation and Comp'ensation | Ch 4 |
| 10 | Motion Control in Presence of Interactions | Ch 5 |
| 11 | Bilateral Control | Ch 6 |
| 12 | Configuration Space Control | Ch 7 |
| 13 | Operation Space Control | Ch 8,9 |
| 14 | Operation Space Control | Ch 8,9 |
| 15 | Course Review and Answers to Students' Questions |
Course Schedule (All Sections)
| Section | Type | Day 1 | Venue 1 | Day 2 | Venue 2 |
|---|---|---|---|---|---|
| EE412.1 | Course | Tuesday 09:00 - 11:50 | A F1.17 | - | - |
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 5
Homework
AI: Not AllowedAlignment with Learning Outcomes : 1 2 3 4 5
Midterm
AI: Not AllowedAlignment with Learning Outcomes : 1 2 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
10 hours ⏳ (5 week × 2 h)
Active Tutorials
8 hours ⏳ (4 week × 2 h)
Home Study
28 hours ⏳ (14 week × 2 h)
In-term Exam Study
15 hours ⏳ (1 week × 15 h)
Final Exam study
15 hours ⏳ (1 week × 15 h)
Term project/presentation
35 hours ⏳ (1 week × 35 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 [EE412] 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 Feb 02, 2026 | 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 | |||||||||
| EE412 | Motion Control System | 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 | Sevkuthan Kurak | Assistant E-mail | sevkuthan@ius.edu.ba | |||||||
| Course Objectives | The course aims at equipping the students with an understanding of fundamental issues in mo0tion control systems, the usage of a sophisticated set of tools for analysis and design of motion control systems; engagement in realistic case studies in order to introduce students to real design problems. |
|||||||||
| Textbook | Asif Šabanović and Kouhei Ohnishi, Motion Control Systems, IEEE Press, John Willey & Sons (Asia) Pte Ltd, 2011, ISBN978-0-470-82573-0; Ned Mohan, Electric Drives An Integrative Approach, MNPRE Minneapolis, 2003, ISBN 0-9715292-5-6 | |||||||||
| Additional Literature | ||||||||||
| Learning Outcomes | After successful completion of the course, the student will be able to: | |||||||||
|
||||||||||
| Teaching Methods | Class discussions with examples. Team project, supported by tutorial sessions for engaged learning and continuous feedback on progress. | |||||||||
| Teaching Method Delivery | Teaching Method Delivery Notes | |||||||||
| WEEK | TOPIC | REFERENCE | ||||||||
| Week 1 | Practical Information, Content of the Course | |||||||||
| Week 2 | Dynamic System Modeling | Ch 1, Handout | ||||||||
| Week 3 | Control System Design Fundamentals | Ch 2 | ||||||||
| Week 4 | Actuators and Measurement in Motion Control Systems | Handout | ||||||||
| Week 5 | Acceleration Control | Ch 3 | ||||||||
| Week 6 | Acceleration Control | Ch 3 | ||||||||
| Week 7 | MIDTERM EXAM | Ch1,2,3 | ||||||||
| Week 8 | Disturtbance Estimation and Comp'ensation | Ch 4 | ||||||||
| Week 9 | Disturtbance Estimation and Comp'ensation | Ch 4 | ||||||||
| Week 10 | Motion Control in Presence of Interactions | Ch 5 | ||||||||
| Week 11 | Bilateral Control | Ch 6 | ||||||||
| Week 12 | Configuration Space Control | Ch 7 | ||||||||
| Week 13 | Operation Space Control | Ch 8,9 | ||||||||
| Week 14 | Operation Space Control | Ch 8,9 | ||||||||
| Week 15 | Course Review and Answers to Students' Questions | |||||||||
| Assessment Methods and Criteria | Evaluation Tool | Quantity | Weight | Alignment with LOs | AI Usage |
| Final Exam | 1 | 35 | 1,2,3,4,5 | Not Allowed | |
| Semester Evaluation Components | |||||
| Homework | 2 | 40 | 1,2,3,4,5 | Not Allowed | |
| Midterm | 1 | 25 | 1,2,3,4,5 | Not Allowed | |
| *** ECTS Credit Calculation *** | |||||
| Activity | Hours | Weeks | Student Workload Hours | Activity | Hours | Weeks | Student Workload Hours | |||
| Lecture Hours | 3 | 14 | 42 | Assignments | 2 | 5 | 10 | |||
| Active Tutorials | 2 | 4 | 8 | Home Study | 2 | 14 | 28 | |||
| In-term Exam Study | 15 | 1 | 15 | Final Exam study | 15 | 1 | 15 | |||
| Term project/presentation | 35 | 1 | 35 | |||||||
| Total Workload Hours = | 153 | |||||||||
| *T= Teaching, P= Practice | ECTS Credit = | 6 | ||||||||
| Course Academic Quality Assurance: Semester Student Survey | Last Update Date: 17/02/2026 | |||||||||