Give undergraduates a solid grounding in control theory fundamentals
and basics of control technology
Give graduate and research students the opportunity to carry out cutting-edge
research in Robust and Adaptive Contol while developing new technology
and software
Courses
Undergraduate
Graduate
EE420 Linear Control Systems
EE421 Digital Control Systems
Control Engineering Laboratory
EE605 Linear Multivariable Systems
EE606 Nonlinear Control
EE608 Modern Control
EE608 Adaptive Control
EE628 Robust Control
EE633 Optimal Control
Research Areas
The Control Systems Group has been working in these areas:
Robust control
Adaptive control
Knowledge-based systems
Neural Networks and Learning control
Low-order Controller Synthesis
Control System Design for Hybrid Vehicles
Filtering and Control of Quantum Mechanical Systems
Parallel/ Distributed control algorithms for Large Nonlinear System and
Stability Analysis and stabilization of Large Nonlinear Systems.
Facility Resources
An undergraduate Control Engineering Laboratory, supported by a National
Science Foundation grant, is currently being developed.
Software packages such as Matlab, MatrixX, Mathematica and IMSL, are available
for instruction and research.
