Systems and Control, 5 cr
- Description
- Completion options
Core content
- Linear Time Invariant. Elements of systems control. Non-experimental Modelling. Model conversions. Simulation. Similarities and Differences of CT systems and DT systems. Nyquist-Shannon Sampling Theorem.
- Elementary Block Diagram. z Transform, z Transfer Function, Operator Transfer Functions. State-Space Models.
- Stability, Root Locus, Controllability, Observability. Möbius-Routh Stability Test. Intersample behavior.
- Analysis and Synthesis of Feedback Controllers. Root Locus.
- State-Feedback Control, State Observers and Observer Based Feedback Control using pole placement designs including analysis of Relative Stability and Sensitivities.
- +1cr: Part D
Pole Placement Design using Transfer Functions. Reliable Implementations of DT LTI controllers, compensators and filters Decoupling Constrained DT MIMOPI Control.
- +1cr: Part E (assumes Part D)
Least Squares and Weighted Least Squares Identification.
Recursive Forgetting Least Squares Identification.
Self-Tuning SISOPI and MIMOPI Control.
Complementary knowledge
• Further simulation tools of Matlab
• Creation of Matlab functions
• Stability Test of Schur & Cohn
• 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