UUM 507E  Linear Control Systems)
Course Objectives
Introduction to modern control theory. Brief review of basic concepts of classical (conventional) control theory such as Laplace transformation, transfer function, system analysis in time domain, stability of system, Routh Hurwitz method, root locus method. Statespace system descriptions. State variables, statespace and statespace form equations. Transformations of statespace systems. Eigenvalues and eigenvectors. Canonical forms and decoupled systems. Time response of statespace systems. State transition matrix and Laplace transform methods. Controllability and observability. Lyapunov stability analysis. Statespace controller design. Pole placement method. Ackermann’s formula. Statespace observer design. Design of servo systems. Optimal linear quadratic regulator systems. Design examples.
Course Description
Introduction to modern control theory. Brief review of basic concepts of classical (conventional) control theory such as Laplace transformation, transfer function, system analysis in time domain, stability of system, Routh Hurwitz method, root locus method. Statespace system descriptions. State variables, statespace and statespace form equations. Transformations of statespace systems. Eigenvalues and eigenvectors. Canonical forms and decoupled systems. Time response of statespace systems. State transition matrix and Laplace transform methods. Controllability and observability. Lyapunov stability analysis. Statespace controller design. Pole placement method. Ackermann’s formula. Statespace observer design. Design of servo systems. Optimal linear quadratic regulator systems. Design examples.


Course Coordinator
Elbrus Jafarov
Course Language
English


