CODE 80181 ACADEMIC YEAR 2020/2021 CREDITS 5 cfu anno 1 ROBOTICS ENGINEERING 10635 (LM-32) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR ING-INF/04 LANGUAGE English TEACHING LOCATION GENOVA SEMESTER 1° Semester TEACHING MATERIALS AULAWEB OVERVIEW The aim of the course is to give a methodology for the design of a control law for multivariable linear time invariant systems (MIMO LTI systems) AIMS AND CONTENT LEARNING OUTCOMES The aim of the course is to give a methodology for the design of a control law for multivariable linear time invariant systems (MIMO LTI systems) AIMS AND LEARNING OUTCOMES The course covers the following topics Methods for modeling and control of multivariable linear time invariant systems Methods for the optimal control of multi-variable linear dynamic systems The students at the end of the course will be capable to tackle control/regulation problems for multivariable linear systems. PREREQUISITES Fundamentals of Linear System Theory and Classical Control Theory. TEACHING METHODS The contents of this module are essentially methodological and lectures will be given mainly in remote mode. Some case studies will be proposed to the students to be solved on a voluntary basis. SYLLABUS/CONTENT 1-Basics on modeling and analysis of Linear Multivariable Systems. 2-Dynamic properties assignment and stabilization. 3-State reconstruction from input-output measurements. 4-Formulation of feedback control problems. Alternative approaches for control system synthesis. 5-Formulation and solution of optimal control problems. RECOMMENDED READING/BIBLIOGRAPHY H. Kwakernaak, R. Sivan - Linear Optimal Control Systems - Wiley 1972 TEACHERS AND EXAM BOARD RICCARDO MINCIARDI Ricevimento: It is possible to meet the professor, on request, at different times. GIUSEPPE CASALINO Ricevimento: - At the end of any interactive TEAM-platform based - Via specific successive appointments on the TEAM platform, for single ar group of students, with the recommendation to on request fixed at the end of any interactive lesson ONLY. Exam Board RICCARDO MINCIARDI (President) MICHELE AICARDI GIUSEPPE CASALINO (President Substitute) LESSONS Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION Oral exam ASSESSMENT METHODS The students will be evaluated on the basis of their capability to solve simple analysis and control problems. Exam schedule Data appello Orario Luogo Degree type Note 20/01/2021 09:00 GENOVA Orale 04/02/2021 09:00 GENOVA Orale 31/03/2021 09:00 GENOVA Orale 30/06/2021 09:00 GENOVA Orale 16/07/2021 09:00 GENOVA Orale 01/09/2021 09:00 GENOVA Orale
