
Systems and Control, 7.5 hp
The technical content of the course, covered through lectures, exercises and laboratory work, reviews concepts and topics, which students are expected to have some familiarity with from previous studies. These include models for stochastic dependence, describing dynamical multivariable systems using time-invariant ordinary differential equations, transfer functions and state space representations, stability assessment, robustness margins, synthesis, and implementation of controllers.
FACTS
CYCLE
Second cycle
ENTRY REQUIREMENTS
General entry requirements and approved result from the following course/courses:
IAI600-Introduction to Artificial Intelligence and Machine Learning or the equivalent.
PACE OF STUDY
Part-time
TYPE OF INSTRUCTION
On Campus
PROGRAMME/COURSE DATE
TEACHING HOURS
Daytime
APPLICATION DEADLINE
15 October 2024
APPLICATION CODE
HV-E1865
START/END
From v.14 2025 to v.23 2025
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