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COURSE DESCRIPTION AND APPLICATION INFORMATION

Course Name Code Semester T+A+L (hour/week) Type (C / O) Local Credit ECTS
Linear Multivariable Systems MTE 453 Fall 03+00+00 Elective 3 5
Academic Unit: Department of Mechatronics Engineering
Mode of Delivery: Face to face
Prerequisites: None
Language of Instruction: English
Level of Course Unit: Undergraduate
Course Coordinator: - -
Course Lecturer(s): Özkan Karabacak
Course Objectives: This course aims to introduce basic methods for analyzing linear multivariable systems and to apply them via projects.
Course Contents: Solutions of linear multivariable systems, transfer function, stability conditions, periodic systems, controllability, observability, Kalman decomposition, controller and observer design
Learning Outcomes of the Course Unit (LO):
  • 1- To be able to model linear multivariable systems
  • 2- To be able to identify and explain dynamic behaviour of linear multivariable systems
  • 3- To be able to understand the main methods for controller and oserver design for linear systems
  • 4- To be able to perform computer-based analysis of linear systems
  • 5- To be able to perform computer-based design of linear systems
Planned Learning Activities and Teaching Methods: Face-to-face education


WEEKLY SUBJECTS AND RELATED PREPARATIONS

WeekSubjectsRelated Preperation
1 Introduction to Linear Multivariable Systems
2 Basic Solution types, transfer functions, basic properties
3 Project I (Basic Analysis of a Linear Multivariable System) Familiarize with the MATLAB Control Systems Toolbox
4 Stability Conditions
5 Periodic Systems
6 Project II (Determining the stability)
7 Controllability-Observability
8 Kalman Decomposition
9 Project III (Determining Controllability and Observability)
10 Controller Design
11 Project IV (Controller Design)
12 Observer Design
13 Project V (Observer Design)
14 Presentations and Discussion


REQUIRED AND RECOMMENDED READING

W.J. Rugh, Linear System Theory 2ed., Pearson, 2004.
L.P. Hespanha, Linear Systems Theory 2ed, Princeton University Press, 2018


OTHER COURSE RESOURCES



ASSESSMENT METHODS AND CRITERIA

Semester RequirementsNumberPercentage of Grade (%)
Project 5 75
Presentation / Jury 1 25
Total: 6 100


WORKLOAD

EventsCountDuration (Hours)Total Workload (hour)
Course Hours14342
Project51260
Preparation for Presentation / Jury12323
Total Workload (hour):125


THE RELATIONSHIP BETWEEN COURSE LEARNING OUTCOMES (LO) AND PROGRAM QUALIFICATIONS (PQ)

# PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11
LO1                      
LO2                      
LO3                      
LO4                      
LO5