Systems and Controls Research
Systems and controls research focuses on modeling, analysis and control of dynamic systems to ensure stability and optimal performance. Our faculty develop advanced control theories and algorithms that enable robotics and precision motion systems, quantum control technologies and reliable safety-critical infrastructure. These methods are applied to applications such as controlling wind turbines and wind farms, managing power networks and coordinating systems in aerospace and transportation.
Our faculty and students are engaged in a range of research projects, which are supported by government agencies.
- National Laboratory of the Rockies
- National Science Foundation
- NASA
- ARPA-E
Area Strengths
Analysis and design of control systems that ensure safety, reliability and performance in applications.
Methods for designing controllers that achieve optimal performance while remaining resilient to uncertainty, disturbances and modeling errors.
Control of large-scale, interconnected systems operating across networks, including multi-agent and cyber-physical systems.
Control of quantum systems for emerging quantum technologies and applications.
Combined feedforward and feedback strategies for improved precision and stability in dynamic systems.
Research Areas
- Biomedical Engineering Research
- Integrated Circuits & Systems
- Computer Engineering Research
- Electromagnetics, RF and Microwaves Research
- Machine Learning, Information, Network, Communication and Data Sciences Research
- Photonics and Quantum Engineering Research
- Power Electronics & Energy Systems Research
- Systems and Controls Research