Course syllabus

Course design

The course uses flipped classroom techniques and is centered around lectures and tutored assignment sessions. We believe these sessions will not only be fun events but also very effective ones. It is therefore essential in a weekly basis that students actively prepare to these interactive sessions (see the weekly preparation schedule below). More precisely,

• flipped classroom lectures: twice a week
• tutored/consultation sessions (for exercises, assignments (6), labs(1)): twice a week
• laboratory session, one time during the term
  

Lab and assignments will be solved in groups of 3 students.

Changes made since the last occasion

All sessions are physical ones (on campus). A minor adjustment in Assignment 4.

Learning objectives and syllabus

• Understand signals' and systems' sizes and explain the limitations behind LTI model (nominal Linear Time Invariant models).
• Identify and describe the most important uncertainty structures for SISO and MIMO LTI dynamics.
• Formulate robust control objectives and understand methods in calculating them.
• Apply the theory of gain scheduled control to reach robust objectives.
• Understand the limitations of uncertain linear or parameter scheduled control systems.
• Analyse the stability properties of nonlinear systems.
• Apply methods for nonlinear control system design. Assess the stability and performance of the resulting closed loop systems.
  
• Become familiar with the software tools for the analysis and synthesis of nonlinear control systems.
• Explain, understand and motivate closed loop behaiviours.

See detailed course syllabus and course PM here

Study plan (Links to an external site.)

Form of examination

1. Satisfy course project requirements: (1) submit and get approval for all assignments (group) AND (2) prepare and get approval for the labsession (grading UG, pass/fail, 3.5 credits in total).
2. Pass written examination (4.0c). Exam: (Check registration deadline! Registration is mandatory): October 25th, 2022 morning slot (re-exams in January and August 2023). Grading: F, 3, 4, 5.
   
   

Grading policy, content of written examination:

• 20 points with 0.5 resolution.
• Some theoretical 10-20% the rest exercise like problem solving questions.
• 10-20% challenging questions. Msc students, grade 3 collect 50% of points; grade 4 collect 65% of points; grade 5 collect 85% of points.
• Lic, PhD students, to pass collect at least 60% of points.
• See more details here (sample/previous years exam questions under File/Exam). 
  
  

Weekly split of preparation tasks (in study weeks)

It is essential that you come prepared to lecture times and tutoring.

How to prepare?

Before joining the lecture time
-watch the videos/read the connected book chapters. Answer the quiz questions in the video.
-in case something is unclear, formulate your questions and bring those with you to the lecture times

Before joining the tutoring sessions (every group has secured consultation time twice a week)
-watch the exercises of the week (3 to 5 short videos per week).
-solve assignment questions for the week (check the deadline for submissions)
-in case something is unclear, formulate your questions and bring those to the tutoring time

What will happen on lecture and tutoring sessions?

During lecture time:
-a brief condensed summary of the topics will be provided (insufficient for the complete understanding of the weekly subject without preparation!)
-your questions will be answered if asked
-interactive-fun quiz (individual/small group)
-interactive-fun discussion on problems

During tutoring time:
-your group will be given two timeslots per week. Bring your questions with you (exercises, assignments, lab).
-you can collect mandatory preapproval for assignments submission