• Use programmable logic controllers (PLCs)
• Analyse sequential control problems with relay ladder diagrams and sequential function charts (GRAFCET)
• Model and analyse discrete-time systems
• Sample continuous-time systems approximately or exactly
• Handle limitations in the design of linear control systems
• Tune PID controllers and implement them in software
• Evaluate the performance of a control system
• Use various linear control system structures
• Design and analyse model predictive controllers (MPCs)
• Use several versions of MPC, e.g., for guaranteeing good reference tracking or stability

Basic tools and methods: Discrete-time control theory, sampling of systems, process models.

Design and tuning of controllers: Internal model control, Smith predictor, reference feedforward control, PID tuning.

Implementation and operation of controllers: Digital implementation, anti-windup, mode transitions, performance measures, Harris index, oscillation index.

Nonlinear control strategies: Selector control, gain scheduling, fuzzy control.

Control system structures: Disturbance feedforward control, cascade control, ratio control, mid-range control, split-range control.

Model predictive control: Formulation of optimization problems for MPC, reference tracking, integral action, stability, explicit MPC.