Control Systems Track
Control Systems Track
Control Systems Engineering studies the design and implementation of Feedback Control Systems which are responsible for the safe and efficient automatic operation of all human engineered systems. Examples include aircraft autopilots, automobile speed control, automated drug delivery, and industrial process control. The theoretical basis for Modern control systems was developed during the Industrial Revolution in the 18th century for the steam engine, steam locomotive, and automated windmills.
A recent thrust is feedback control of Cyberphysical Systems which have tightly integrated computing, communication, and physical components. Cyberphsyical Systems mark the transition to Industry Revolution 4.0. Examples of Cyberphsyical Systems include intelligent transportation, autonomous vehicle decision and control, unmanned aerial vehicle coordination and control, robotics, smart health, smart manufacturing, smart energy, and smart and connected communities.
Examples of Local Employers: Bell Flight, Ford Motors, Toyota Motors, Lockheed Martin, Samsung, AT&T, Ericsson, American Airlines and Southwest Airlines.
The Control Systems track shows the flow of courses in the Undergraduate and Master Track, including prerequisite, mandatory courses, and electives associated with learning how to design devices that modulate the input of a system in order to produce the desired output response. UG students will take 1 prerequisite for each path, as well as the recommended elective. For the Unmanned Vehicle path students have 2 electives to complete and for the Autonomous and Robotics Systems path there is 1 to complete. MS students have their choice between 4 paths: Intelligent Systems, Controls, Autonomous Systems, and Robotics. All paths require 3 shared prerequisites, as well as their own electives.
Undergraduate
Prerequisites for UVS and ARS Focus
- EE 3316 CONTINUOUS AND DISCRETE TIME SIGNALS AND SYSTEMS
Recommended Electives for UVS and ARS Focus
- EE 4314 CONTROL SYSTEMS
Electives for UVS Focus
- EE 4378 INTRODUCTION TO UNMANNED VEHICLE SYSTEMS
- EE 4379 UNMANNED VEHICLE SYSTEM DEVELOPMENT
Electives for ARS Focus
- EE 4315 INTRO TO ROBOTICS
Master's
Prerequisites for all Focuses
- EE 5307 LINEAR SYSTEM ENGINEERING
- EE 5304 CYBER-PHYSICAL SYSTEMS
- EE 5323 NONLINEAR SYSTEMS
Electives for Intelligent Systems Focus
- EE 5327 SYSTEM IDENTIFICTION & ESTIMATION
- EE 6353 CONVEX OPTIM FOR ENGINEERS
Electives for Controls Focus
- EE 5321 OPTIMAL CONTROL
- EE 5329 DISTRIBUTED DECISION & CONTROL
- EE 5322 INTELLIGIENT CONTROL
Electives for Autonomous Systems Focus
- EE 6321 INTRO TO UNMANNED VEHICLE SYSTEM
- EE 6322 UNMANNED VEHICLE SYSTEM DEVELOPMENT
Electives for Robotics Focus
- EE 5325 ROBOTICS
Administration
Dr. Wei-Jen Lee
Professor and Chair
817-272-3934
wlee@uta.edu
Dr. Jonathan Bredow
Professor & Associate Chair
817-272-3472
jbredow@uta.edu
Dr. Yuze (Alice) Sun
Professor & Associate Chair
817-272-1317
sun@uta.edu