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CONTROL OF LINEAR MULTI-VARIABLE SYS.

CODE 80181
ACADEMIC YEAR 2020/2021
CREDITS 5 credits during the 1st year of 10635 ROBOTICS ENGINEERING (LM-32) GENOVA
SCIENTIFIC DISCIPLINARY SECTOR ING-INF/04
LANGUAGE English
TEACHING LOCATION GENOVA (ROBOTICS ENGINEERING )
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

Exam Board

RICCARDO MINCIARDI (President)

MICHELE AICARDI

GIUSEPPE CASALINO (President Substitute)

LESSONS

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.

Class schedule

All class schedules are posted on the EasyAcademy portal.

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

Date Time Location Type Notes
20/01/2021 09:00 GENOVA Orale JEMARO students must attend this exam on: February 4th, 2021 For Robotics Engineering students 2020-21, please refer only to the dates labeled as "oral" ( January 20, February 4, June 30, July 16, September 1)
04/02/2021 09:00 GENOVA Orale JEMARO students must attend this exam on: February 4th, 2021 For Robotics Engineering students 2020-21, please refer only to the dates labeled as "oral" ( January 20, February 4, June 30, July 16, September 1)
31/03/2021 09:00 GENOVA Orale JEMARO students must attend this exam on: February 4th, 2021 For Robotics Engineering students 2020-21, please refer only to the dates labeled as "oral" ( January 20, February 4, June 30, July 16, September 1)
30/06/2021 09:00 GENOVA Orale JEMARO students must attend this exam on: February 4th, 2021 For Robotics Engineering students 2020-21, please refer only to the dates labeled as "oral" ( January 20, February 4, June 30, July 16, September 1)
16/07/2021 09:00 GENOVA Orale JEMARO students must attend this exam on: February 4th, 2021 For Robotics Engineering students 2020-21, please refer only to the dates labeled as "oral" ( January 20, February 4, June 30, July 16, September 1)
01/09/2021 09:00 GENOVA Orale JEMARO students must attend this exam on: February 4th, 2021 For Robotics Engineering students 2020-21, please refer only to the dates labeled as "oral" ( January 20, February 4, June 30, July 16, September 1)