GIVE METHODOLOGIES FOR THE ANALYSIS OF LINEAR AND STATIONARY SISTEMS REPRESENTED WITH CONTINUOUS OR DISCRETE STATE SPACE MODELS. LEARN HOW TO DESIGN A CONTROL SYSTEM ABLE TO ASSIGN DYNAMICS EVENTUALY USING AND OBSERVER OR OPTIMIZING A CONST INDEX.
teacher profile teaching materials
Optimizing integral indices: the Eulero-Lagrange equation. Constrained Optimization. minimum energy control. Riccati Equations.
Discrete-time systems. Controller implementation via microcontrollers. hardware and A/D D/A converters. Samplers and holders. Sampling theorem. Difference equations. Z transform. stability of discrete systems. Approximated methods.
D. G. Luenberger, Introduction to Dynamic systems, Theory Models & Applications, Wiley
Fruizione: 20801817-2 COMPLEMENTI DI CONTROLLI AUTOMATICI MODULO II in Ingegneria aeronautica LM-20 N0 OLIVA GABRIELE
Programme
Elements of non-linear systems. Lyapunov Stability. Linearization. Feedback linearization. Optimal control.Optimizing integral indices: the Eulero-Lagrange equation. Constrained Optimization. minimum energy control. Riccati Equations.
Discrete-time systems. Controller implementation via microcontrollers. hardware and A/D D/A converters. Samplers and holders. Sampling theorem. Difference equations. Z transform. stability of discrete systems. Approximated methods.
Core Documentation
handouts provided by the teacher.D. G. Luenberger, Introduction to Dynamic systems, Theory Models & Applications, Wiley
Type of delivery of the course
Frontal lessons (70%). Exercises on the blackboard and with the computer using Matlab language or similar (30%).Attendance
lesson attendance is optionalType of evaluation
The comprehension of the topics of the course is assessed via an oral exam. The oral exam consists of two-three questions, which can be theoretical (e.g., demonstrations or presentation of the features of control schemes) or practical (e.g., exercises).