Control Systems

The Control Systems focus area includes nine graduate courses in the areas of linear and nonlinear control systems, real-time and digital control systems, optimal control, distributed parameter systems, adaptive control, and neural networks. In addition, the theoretical material taught in the upper division undergraduate and graduate courses is enhanced through the use of computer and experimental projects.

Courses

Elective courses

 

EEE 480 – Feedback Systems
EEE 481 –  Computer Controlled Systems

Graduate Courses

EEE 511 – Artificial Neural Computation Systems
EEE 550 – Transform Theory and Applications
EEE 554 – Random Signal Theory I
EEE 581 – Filtering of Stochastic Processes
EEE 582 – Linear System Theory
EEE 586 – Nonlinear Control Systems
EEE 587 – Optimal Control
EEE 588 – Design of Linear Multivariable Control Systems
EEE 686 – Adaptive Control Theory

Research Activities

The control systems program concentrates on Ph.D. education sponsored by various federal and private sources. Most of the Ph.D. students receive financial support in the form of research assistantships or fellowships.

Research Matrix

Find a faculty advisor that matches your research interests

Faculty membersRobotics and
automation
Target
tracking
Real-time
control,
embedded
systems
Nonlinear
dynamics
and control
System
optimization
Stochastic
control,
adaptive
control
Dynamic
programming
Complex
systems
Network
science
Computational
biology
Micro- and
nanotechnologies
Automation
in life sciences
Lab-on-a-chip,
single cell,
ecogenomics
Cortical
neural control
Real-time
health
monitoring
Low power
electronics
Aerospace
systems
Ying-Cheng LaiXXXXX
Deirdre MeldrumXXXXX
Armando RodriguezXXXXXXXXX
Jennie SiXXXXX
Konstantinos TsakalisXXX
Vijay VittalX

* denotes an additional research expertise for faculty members that work in multiple areas.