Control Systems
• Be able to analyze the architecture and operation of process automation systems.
• Be able to integrate complicated distributed systems.
• Be able to set the limits in classical control systems.
• Be able to combine classical control concepts with modern control theory
• Be able to model event driven systems.
Review on fundamental automatic control, Temporal analysis of dynamic systems, Transfer functions – frequency analysis, Feedback analysis, stability, PID control,
Discrete systems: Discrete-time analysis – z Transform, Properties of systems (stability, reliability), Synthesis of discrete feedback systems, Analysis of control systems in State Space, State Space representation of Transfer Function, Solving the time-invariant state equations, Controllability and observability.