CODE 90443 ACADEMIC YEAR 2024/2025 CREDITS 5 cfu anno 1 SAFETY ENGINEERING FOR TRANSPORT, LOGISTICS AND PRODUCTION 10377 (LM-26) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR ING-INF/04 LANGUAGE English TEACHING LOCATION GENOVA SEMESTER 1° Semester MODULES Questo insegnamento è un modulo di: OPTIMIZATION AND CONTROL OF TRANSPORT AND LOGISTICS TEACHING MATERIALS AULAWEB OVERVIEW Optimization is the discipline that concerns the investigation of the algorithms for searching the points of minimum or maximum of cost functions and functionals. AIMS AND CONTENT LEARNING OUTCOMES 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. AIMS AND LEARNING OUTCOMES 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 and nonlinear dynamical systems; - apply the results of the theory developed on dynamical systems to simple case studies related to traffic networks; - determine the taxonomy and the solution of simple optimization problems; - Ensure the correct terminology for the analysis of dynamic systems and the formulation of an optimization problem. TEACHING METHODS Theoretical lectures and exercises for a number of about 50 hours on the overall. SYLLABUS/CONTENT Introduction to Dynamical Systems Continuous-time systems Discrete-time systems Linear systems Linearization Example using Matlab Simulink Equilibrium and Stability of Dynamic Systems Concept of equilibrium point Stability of continuous-time and discrete-time linear systems Stability of continuous-time and discrete-time nonlinear systems (direct and indirect Lyapunov method) Example using Matlab Simulink Optimization What is an optimization problem Classification of optimization problems (LP, QP, MILP, NLP) (overview of algorithms) Formalization of optimization problems Examples using Matlab Predictive Control What is MPC with Matlab examples RECOMMENDED READING/BIBLIOGRAPHY D. Xue, Y. Chen, D.P. Atherton, Linear Feedback Control: Analysis and Design with MATLAB (Advances in Design and Control), SIAM, 2007. D. Bertsekas, Introduction to Linear Optimization, Athena Scientific, 1997. TEACHERS AND EXAM BOARD GIULIO FERRO Ricevimento: It is possible to meet the professor, on request, at different times. Exam Board GIULIO FERRO (President) MICHELA ROBBA RICCARDO MINCIARDI (President Substitute) LESSONS LESSONS START https://corsi.unige.it/en/corsi/10377/studenti-orario Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION 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." ASSESSMENT METHODS 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. Exam schedule Data appello Orario Luogo Degree type Note 13/01/2025 09:00 GENOVA Orale 28/01/2025 09:00 GENOVA Orale 10/02/2025 09:00 GENOVA Orale FURTHER INFORMATION For questions, contact the lecturer to agree on the time of meeting. Agenda 2030 - Sustainable Development Goals Affordable and clean energy Responbile consumption and production