ELEC-E8101: Digital and Optimal Control
Learning outcomes:

After completing the course the student:

  • understands the principles of discrete-time modelling and computer control
  • understands the common ideas and differences between analog and digital control
  • can design, simulate and implement discrete-time controllers (for example discretized PID or state feedback controllers)
  • understands the Principle of Optimality
  • understands the ideas behind optimal controllers, specifically LQ control
  • can design and implement LQ controllers
  • understands the basics of stochastic control theory

ELEC-E8123: Networked Control Systems
Learning outcomes:

After completing the course the student:

  • understands what a Networked Control System (NCS) is, identifying the building blocks of control and communications comprising NCSs
  • recognizes applications of NCSs, identifying their building blocks
  • designs and analyzes simple control systems over different communication channels, building further understanding of the interplay between communications and control
  • understands the estimation issues of systems with uncertainties having to communicate over noisy communication channels
  • learns when control and estimation problems can be decoupled in such systems
  • understands the limitations of the current state-of-the-art and trends in NCSs