Systems and Control, 5 cr

Core content

• Linear Time Invariant. Elements of Discrete-Time aka DT systems control. Non-experimental Modelling. Model conversions. Simulation. Similarities and Differences of Continuous-Time systems and DT systems. Nyquist-Shannon Sampling Theorem.
• Elementary Block Diagram. z Transform, z Transfer Function, DT Operator Transfer Functions. State-Space Models.
  
• Stability, Root Locus, Controllability, Observability and Frequency Response of DT Systems. Möbius-Routh Stability Test. Intersample behavior.
• Analysis and Synthesis of DT Feedback Controllers. Root Locus.
• DT State Feedback Control, State Observers and Observer Based Feedback Control using eigenvalue assignment designs including analysis of Relative Stability and Sensitivities.

Complementary knowledge

• Further simulation tools of Matlab
• Efficient Stability Tests
• Sensitivity of eigenvalue, DC gain and the system response
• LTI and LPV systems
• State space model and Transfer Function Matrix from such model of the subsystems
• Improving accuracy of the computations
• Two skills from the list of 5 skills listed elsewhere