Linear Systems (EE 571)

2022 Fall
Faculty of Engineering and Natural Sciences
Electronics Engineering(EE)
3
10
Mustafa Ünel munel@sabanciuniv.edu,
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English
Doctoral, Master
--
Formal lecture
Interactive,Simulation
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Programs\Type Required Core Elective Area Elective
Computer Science and Engineering - With Bachelor's Degree *
Computer Science and Engineering - With Master's Degree *
Computer Science and Engineering - With Thesis *
Cyber Security - With Bachelor's Degree *
Cyber Security - With Master's Degree *
Cyber Security - With Thesis *
Data Science - With Thesis *
Electronics Engineering and Computer Science - With Bachelor's Degree *
Electronics Engineering and Computer Science - With Master's Degree *
Electronics Engineering and Computer Science - With Thesis *
Electronics Engineering - With Bachelor's Degree *
Electronics Engineering - With Master's Degree *
Electronics Engineering - With Thesis *
Energy Technologies and Management-With Thesis *
Industrial Engineering - With Bachelor's Degree *
Industrial Engineering - With Master's Degree *
Industrial Engineering - With Thesis *
Leaders for Industry Biological Sciences and Bioengineering - Non Thesis *
Leaders for Industry Computer Science and Engineering - Non Thesis *
Leaders for Industry Electronics Engineering and Computer Science - Non Thesis *
Leaders for Industry Electronics Engineering - Non Thesis *
Leaders for Industry Industrial Engineering - Non Thesis *
Leaders for Industry Materials Science and Engineering - Non Thesis *
Leaders for Industry Mechatronics Engineering - Non Thesis *
Manufacturing Engineering - Non Thesis *
Manufacturing Engineering - With Bachelor's Degree *
Manufacturing Engineering - With Master's Degree *
Manufacturing Engineering - With Thesis *
Materials Science and Nano Engineering-(Pre:Materials Science and Engineering) *
Materials Science and Nano Engineering-(Pre:Materials Science and Engineering) *
Materials Science and Nano Engineering - With Thesis (Pre.Name: Materials Science and Engineering) *
Mathematics - With Bachelor's Degree *
Mathematics - With Master's Degree *
Mathematics - With Thesis *
Mechatronics Engineering - With Bachelor's Degree *
Mechatronics Engineering - With Master's Degree *
Mechatronics Engineering - With Thesis *
Molecular Biology, Genetics and Bioengineering (Prev. Name: Biological Sciences and Bioengineering) *
Molecular Biology, Genetics and Bioengineering-(Prev. Name: Biological Sciences and Bioengineering) *
Molecular Biology,Genetics and Bioengineering-With Thesis (Pre.Name:Biological Sciences and Bioeng.) *
Physics - Non Thesis *
Physics - With Bachelor's Degree *
Physics - With Master's Degree *
Physics - With Thesis *

CONTENT

Gives the fundamental theory of linear dynamical systems in both continuous and discrete time. The course covers state- space representations, vector spaces, linear operators, eigenvalues and eigenvectors, functions of vectors and matrices, solutions to state equations, stability, controllability, observability, realization theory, feedback and observers.

OBJECTIVE

This course is intended for first year graduate students to present the fundamental concepts of the linear systems theory.

LEARNING OUTCOMES

  • After taking this course, a successful graduate student must have a solid background in linear system theory which can be applied to many engineering problems such as control, signal processing, vision and robotics. In particular, students should be able to: 1. Classify systems and develop Input/Output and State-Space representations for systems 2. Use vector space ideas, matrices and their functions 3. Check controllability and the observability of a linear system 4. Check the external and the internal stability of a system 5. Design linear state feedback control 6. Estimate states of a dynamical system using various observers

ASSESSMENT METHODS and CRITERIA

  Percentage (%)
Final 45
Midterm 40
Homework 15

RECOMENDED or REQUIRED READINGS

Textbook

- Chen, C.-T., Linear System Theory and Design, 3rd Edition, Oxford University Press, 1999
Readings

- Rugh, J. W., Linear System Theory, 2nd Edition, Prentice-Hall, 1996
- Antsaklis, P. J., Michel A. N. Linear Systems, Birkhouser, 2006