CODE 90443 ACADEMIC YEAR 2022/2023 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 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. TEACHING METHODS Theoretical lectures and exercises for a number of about 50 hours on the overall. Guided lectures with Matlab. SYLLABUS/CONTENT 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. 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. T. Kailath, Linear Systems, Paperback, Prentice Hall, 2016. D. Bertsekas, Introduction to Linear Optimization, Athena Scientific, 1997. TEACHERS AND EXAM BOARD ANGELO ALESSANDRI Ricevimento: For questions, contact the lecturer to agree on the time of meeting. Exam Board ANGELO ALESSANDRI (President) ALESSIO DEL PADRONE GIULIO FERRO (President Substitute) RICCARDO MINCIARDI (President Substitute) LESSONS LESSONS START https://corsi.unige.it/10377/p/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 17/02/2023 01:00 GENOVA Esame su appuntamento 17/02/2023 01:00 GENOVA Esame su appuntamento 15/09/2023 01:00 GENOVA Esame su appuntamento 15/09/2023 01:00 GENOVA Esame su appuntamento 15/09/2023 09:00 GENOVA Esame su appuntamento FURTHER INFORMATION For questions, contact the lecturer to agree on the time of meeting.
