Cybernetics (ELE620)

Content

NB! This is an elective course and may be cancelled if fewer than 10 students are enrolled by August 20th for the autumn semester.

Continuous-time and discrete-time systems theory, using both the state-space representation and transfer functions. Discretization of continuous-time systems. Stability, controllability and observability. State-feedback and LQR control. State observation and Kalman filter. Parametrical system identification: ARX and ARMAX models, recursive least-squares approaches. Introduction to model-based fault diagnosis.

Learning outcome

• Describe discrete and continuous dynamic systems by transfer-functions and state-space-models
• Transform a dynamic system from one form to another
• Use state-space models for control purposes
• Do state and parameter estimation using state observers, Kalman filtering and RLS
• Do fault diagnosis using model-based approaches

Required prerequisite knowledge

Exam

Coursework requirements

Course teacher(s)

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Method of work

Open for

Course assessment

Literature