Program Overview

Department of Electrical and Computer Engineering

The Department of Electrical and Computer Engineering offers various programs for undergraduate and graduate students.

Undergraduate Programs

• Electrical Engineering
• Computer Engineering
• Computer Engineering Direct Entry
• Accelerated Master's
• Courses
• Careers in Electrical Engineering
• Careers in Computer Engineering
• Capstone Projects
• Student Activities
• Current Students

Graduate Programs

• Master of Engineering (MEng)
• Master of Applied Science (MASc)
• Master of Applied Science in Artificial Intelligence (MASc in AI)
• Accelerated Master's
• Doctor of Philosophy (PhD)
• Courses
• Student Activities
• Current Students

Research Areas

• AI & Machine Learning
• Antennas
• Biomedical and Human-Machine Systems
• Communications and Signal Processing
• Engineering Education and Technology
• High Performance and Next Generation Computing
• Information and Software Security
• Networks and The Internet of Things
• Photonics, Nanotechnology & Integrated Circuits
• Power Electronics and Energy Systems
• Robotics, Autonomous Systems and Control
• Software Engineering

Course Details

ELEC 443: Linear Control Systems

Description

Introduction to linear systems and feedback control. Topics include introduction to automatic control, overview of Laplace transformation, linear models of dynamic systems, time-domain specifications of first and second order systems, stability analysis using Routh-Hurwitz criterion, steady-state error and disturbance rejection, PID control, stability analysis and linear controller design using root locus method, Nyquist criterion, and Bode plots, and introduction to state-space analysis. These methods are applied and tested using software such as MATLAB/Simulink, and laboratory experiments.

Requirements

• PREREQUISITE(S): ELEC 224 or MTHE 335 or MREN 223
• Units: 4.00