Lecturer: Lalo Magni  

Course name: Industrial Control
Course code: 504717
Degree course: Computer Engeneering
Disciplinary field of science: ING-INF/04
L'insegnamento è caratterizzante per: Computer Engeneering
University credits: ECTS 6
Course website: n.d.

Specific course objectives

The course aims to introduce students to the main methods of synthesis of controllers for multivariable linear continuous-time and discrete-time dynamical systems. The definitions of sensitivity, complementary sensitivity and control sensitivity function are extended and their characteristics are analyzed using appropriately defined performance indices. State estimation for deterministic and stochastic systems are presented with particular emphasis on the Kalman filtering.

Course programme

Multivariable systems
Sensitivity, complementary sensitivity and control sensitivity function. Representations of uncertainty. Analysis of robustness and performance.

Linear Quadratic Control
Problem formulation, solution algorithms, properties of robustness.

State estimator
Estimators for deterministic systems. Kalman filter and predictor. Linearized and extended predictor. Applications to the estimation of uncertain parameters and diagnostics industry. H2 control.

Model Predictive Control
Problem definition. Open and clsed-loop solution. Stability.

Course entry requirements

Course structure and teaching

Lectures (hours/year in lecture theatre): 45
Practical class (hours/year in lecture theatre): 0
Practicals / Workshops (hours/year in lecture theatre): 0

Suggested reading materials

J.M. Maciejowski. Multivariable Feedback Design. Addison-Wesley, 1991.

Testing and exams

Written examination