4 ECTS credits
110 h study time

Offer 1 with catalog number 4016335FNR for all students in the 1st semester at a (F) Master - specialised level.

Semester
1st semester
Enrollment based on exam contract
Impossible
Grading method
Grading (scale from 0 to 20)
Can retake in second session
Yes
Taught in
English
Partnership Agreement
Under interuniversity agreement for degree program
Faculty
Faculty of Engineering
Department
Electricity
External partners
Université libre de Bruxelles
Educational team
Emanuele Garone (course titular)
Activities and contact hours
24 contact hours Lecture
24 contact hours Seminar, Exercises or Practicals
Course Content

The subjects touched in this course are :

- Basis of optimization : - Optimization problem - Some classical results (Lagrangian multipliers and KKT) - Convex optimization problems.

- Introduction to optimal control

- "Classical" optimal control : - Quadratic Optimal Control - Kalman Filter and LQG

- Linear Matrix Inequalities (LMIs) in control : - Multiobjective Optimal Control

- Extensions : - Robust Polytopic - LPV Polytopic - Systems with disturbance

- How about state/input constraints ? - Constraints through LMIs - MPC ° Linear / ° Polytopic Uncertain/LPV - Reference and Command Governor

Course material : Lecture notes

The valid fiche can be found at the following link:  ELEC-H509
Change the language to English in the dropdown menu on top of the page.

 

Additional info

None

Learning Outcomes

Algemene competenties

The objectives of the course are :

- To introduce optimization and convex optimization

- To introduce some of the main ideas in optimal control and more in general to the use of optimization techniques in control

- To detail some techniques and important results in optimal control

- To provide the students with some capability of defining an optimal control problem depending on the specific needs

This course contributes to the following programme outcomes of the Master in Electronics and Information Technology Engineering:

The Master in Engineering Sciences has in-depth knowledge and understanding of
1. exact sciences with the specificity of their application to engineering
2. integrated structural design methods in the framework of a global design strategy
3. the advanced methods and theories to schematize and model complex problems or processes

The Master in Engineering Sciences can
4. reformulate complex engineering problems in order to solve them (simplifying assumptions, reducing complexity)
7. present and defend results in a scientifically sound way, using contemporary communication tools, for a national as well as for an international professional or lay audience
10. develop, plan, execute and manage engineering projects at the level of a starting professional

The Master in Engineering Sciences has
12. a creative, problem-solving, result-driven and evidence-based attitude, aiming at innovation and applicability in industry and society
13. a critical attitude towards one’s own results and those of others
14. consciousness of the ethical, social, environmental and economic context of his/her work and strives for sustainable solutions to engineering problems including safety and quality assurance aspects
16. an attitude of life-long learning as needed for the future development of his/her career

The Master in Electronics and Information Technology Engineering:
18. Has a profound knowledge of either (i) nano- and opto-electronics and embedded systems, (ii) information and communication technology systems or (iii) measuring, modelling and control.
19. Has a broad overview of the role of electronics, informatics and telecommunications in industry, business and society.
20. Is able to analyze, specify, design, implement, test and evaluate individual electronic devices, components and algorithms, for signal-processing, communication and complex systems.
21. Is able to model, simulate, measure and control electronic components and physical phenomena.
22. Is aware of and critical about the impact of electronics, information and communication technology on society.

Grading

The final grade is composed based on the following categories:
Other Exam determines 100% of the final mark.

Within the Other Exam category, the following assignments need to be completed:

  • exam with a relative weight of 1 which comprises 100% of the final mark.

Additional info regarding evaluation

The final assessment will be based on an oral exam.

Allowed unsatisfactory mark
The supplementary Teaching and Examination Regulations of your faculty stipulate whether an allowed unsatisfactory mark for this programme unit is permitted.

Academic context

This offer is part of the following study plans:
Master of Electronics and Information Technology Engineering: Standaard traject (only offered in Dutch)
Master of Electromechanical Engineering: Aeronautics and Aerospace (only offered in Dutch)
Master of Electromechanical Engineering: Mechatronics-Construction (only offered in Dutch)
Master of Photonics Engineering: On campus traject
Master of Photonics Engineering: Online/Digital traject
Master of Electromechanical Engineering: Aeronautics
Master of Electromechanical Engineering: Robotics and Mechanical Construction
Master of Electrical Engineering: Standaard traject BRUFACE J