At the end of this course, the students; 1) Learn and apply linear algebra. 2) Will be able to model linear systems. 3) Learn controllability and observability concepts. 4) Will be able to carry out analysis of linear systems. 5) Gain problem solving skills for linear system problems. 6) Will be able to utilize the related software for linear systems.
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
None
COURSE DEFINITION
Review of transformations. Linear vector spaces. Linear operators. Eigenvector analysis, Jordan form. Singular Value Decomposition. Linear systems; input-output and state variables, time-invariant and time varying systems. Discrete-time systems. Analysis of linear systems; controllability, observability, Kalman decomposition, BIBO stability, asymptotic stability, Lyapunov stability criteria. Stability of discrete-time systems.
COURSE CONTENTS
WEEK
TOPICS
1st Week
Linear space, basis vectors
2nd Week
Grammina matrix, linear operators, similarity transformation
3rd Week
Range and null spaces, norms
4th Week
Gram-Schmidt orthonormalization, SVD
5th Week
Eigenvectors, Jordan form
6th Week
Midterm Exam 1
7th Week
Function of a square matrix, Minimal polynomial
8th Week
Linear system decriptions, discrete-time systems
9th Week
State transition matrix, solutions of state equations