Main field(s) of study and in-depth level:
Sociotechnical Systems G2F,
Explanation of codes
The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:
G1N: has only upper-secondary level entry requirements
G1F: has less than 60 credits in first-cycle course/s as entry requirements
G1E: contains specially designed degree project for Higher Education Diploma
G2F: has at least 60 credits in first-cycle course/s as entry requirements
G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
GXX: in-depth level of the course cannot be classified.
A1N: has only first-cycle course/s as entry requirements
A1F: has second-cycle course/s as entry requirements
A1E: contains degree project for Master of Arts/Master of Science (60 credits)
A2E: contains degree project for Master of Arts/Master of Science (120 credits)
AXX: in-depth level of the course cannot be classified.
Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
The Faculty Board of Science and Technology
Single variable calculus. Linear algebra II. Transform methods.
determine relations between models of linear dynamic systems in form of differential equations, state space models, transient responses, transfer functions and frequency responses
analyse linear systems with respect to stability, steady state properties, controllability and observability, and fastness and damping
evaluate closed loop systems with respect to stability, as well as robustness against and sensitivity for model errors and disturbances
interpret and apply graphical methods and tools like block diagrams, root locus, Bode and Nyquist diagrams
understand the function of simple controllers (PID controllers, lead-lag filters, state feedback) and controller structures (feedforward and cascade control)
design simple controllers from given specifications
understand and design observers for estimating the states in state space models
Modelling and mathematical description of dynamic systems in the time and frequency domain: Impulse response, step response, transfer function, Bode and Nyquist diagrams, state space description. Estimation of states using observers. Methods for stability analysis including the Nyquist criterion. Control strategies: PID controller, lead-lag design, state space feedback. Robustness of feedback systems. Specification and synthesis of control systems. Laboratory work:
Computer aided design, simulation and analysis using the program package MATLAB.
Lectures, problem solving sessions and laboratory work.
Written examination at the end of the course. Passed laboratory course is also required.