Controls
The research in control focuses on control of autonomous vehicles, smart grid systems, dc power systems, and biomedical processes.
RESEARCH TOPICS
- Process control
- Real-time control
- Optimal control
- Neural networks
- Machine learning
students specializing in controls take classes such as
required core courses
Feedback Control Systems
Control Systems Design
Digital Control Systems
recommended courses
Machine Learning
Optimal Control Theory
Random Signals and Optimal Filters
Pattern Recognition and Neural Networks
faculty members
Dr. Richard Molyet (Controls Leader)
Dr. Richard Molyet’s research is in the areas of modeling and control of autonomous vehicle collision avoidance, control and performance evaluation of smart grid systems using SMES storage, control of shipboard dc power systems, and modeling and control of biomedical processes such as human kidney function.
Dr. Raghav Khanna
Dr. Raghav Khanna’s research is in the areas power systems, renewable energy integration, power electronics, and modeling and characterization of wide bandgap semiconductors for improved performance of next generation power electronic circuits.