The aim of the course is to provide advanced elements of industrial control systems with emphasis on controlling generic large-scale systems related to critical infrastructures. Theory of multi-variable control is given with emphasis on optimal and model-predictive control approaches, as well as insight on the basic architectures of modern multi-level software automation architectures. The automation SW architectures and technologies are put in the context of CIS use cases where appropriate.
The students, at the end of the course, should know the basic principles governing the analysis and design of multivariable control systems in the context of large-scale systems.
They should be able to carry out the static and dynamic analysis characterization of models to be used in the design of multi-variable control systems. Moreover, they should be able to evaluate, among several options, how to configure and design the architecture and the controller of a multi-variable automatic control system starting from requirements and considering technological constraints.