| CODE | 90443 |
|---|---|
| ACADEMIC YEAR | 2023/2024 |
| CREDITS |
|
| SCIENTIFIC DISCIPLINARY SECTOR | ING-INF/04 |
| LANGUAGE | English |
| TEACHING LOCATION |
|
| SEMESTER | 1° Semester |
| MODULES | This unit is a module of: |
| TEACHING MATERIALS | AULAWEB |
Optimization is the discipline that concerns the investigation of the algorithms for searching the points of minimum or maximum of cost functions and functionals.
The goal is that of making the students achieve the capacity modeling dynamic systems and solving control problems involving the optimization of some performance index.
The course aims at achieving the ability to model dynamical systems and solve control problems that may require the optimization of performance indices. Attendance and active participation in lessons and individual study will allow the student to
- know in depth the structural properties of linear dynamical systems;
- apply the results of the theory developed on dynamical systems to simple case studies;
- determine the solution of simple optimization problems;
- achieve the correct terminology for analysis of dynamic systems and in the formulation of an optimization problem.
Theoretical lectures and exercises for a number of about 50 hours on the overall.
The contents of the course are the following: 1) system theory; 2) automatic control; 3) linear mathematical programming. In more detail,
1) controllability / reachability, observability, detectability, internal stability, external stability;
2) feedback on the state and on the output, state observers, dynamic feedback with state observers;
3) simplex method.
D. Xue, Y. Chen, D.P. Atherton, Linear Feedback Control: Analysis and Design with MATLAB (Advances in Design and Control), SIAM, 2007.
T. Kailath, Linear Systems, Paperback, Prentice Hall, 2016.
D. Bertsekas, Introduction to Linear Optimization, Athena Scientific, 1997.
Office hours: It is possible to meet the professor, on request, at different times.
ANGELO ALESSANDRI (President)
ALESSIO DEL PADRONE
GIULIO FERRO (President Substitute)
RICCARDO MINCIARDI (President Substitute)
All class schedules are posted on the EasyAcademy portal.
Written examination (with possible oral check) on appointment to agree by email. Students with learning disorders ("Disturbi Specifici di Apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities."
The capability to formulate and solve problems of control and optimization under linear assumptions will be verified. The verification concerns questions on
- continuous-time linear systems;
- discrete-time linear systems;
- linear programming.
| Date | Time | Location | Type | Notes |
|---|
For questions, contact the lecturer to agree on the time of meeting.