Moderne kontrollsystemer og kybernetikk

After completing the course, you will be able to

• understand complex analysis, functional analysis, linear algebra, matrix calculus
• use tools from classical control (PID, Bode Plots, Block Diagrams, RootLocus)
• understand state-space systems and their properties (e.g. controllability, observability)
• analyze and apply optimal control (LQR, Pontryagin's Maximum Principle)
• use feedforward control (system inversion, non-minimum phase systems)
• understand system identification (PRBS, behavioural systems theory)
• develop and apply real-time optimization (Model-predictive control)

Students should have a working knowledge of complex analysis, ordinary differential equations and linear algebra (matrix/vector multiplication, eigenvalues/vectors, rank-nullity theorem). Some mathematical background lecture may be provided as part of the course.

Students will benefit from a working knowledge of a programming language used in scientific computing, i.e. Python, MATLAB, Fortran, C/C++, Java, Julia, etc. Examples in the course will use MATLAB and modules provided by Mathworks. An introduction to MATLAB will be provided as part of the course.

Students admitted at UiO must apply for courses in Studentweb. Students enrolled in other master's degree programmes can, on application, be admitted to the course if this is cleared by their own study programme.

Nordic citizens and applicants residing in the Nordic countries may apply to take this course as a single course student.

If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures for international applicants.

~2 hours of at-home lectures per week throughout the semester, plus 2 hours of lab work per week. Attendance at the labs is mandatory.

This course has course work throughout the semester that make up part of the final grade.

The course has a portfolio assessment with two main parts:

• As part of the course, you will write (in groups of 1-3) an 8-page IEEE conference-style paper exploring the applications of one of the control theory topic areas on an application of their choice. This will make up 50% of the final grade.
• The course also has 4 individual home assignments based on in-class lab work. The other 50% of the grade will consist of the average of the 4 assignments; students who receive a passing grade on all 4 assignments will have the lowest score dropped.

Students who can document a valid reason for absence from the regular examination are offered a postponed examination at the beginning of the next semester.

Re-scheduled examinations are not offered to students who withdraw during, or did not pass, the original examination.