Control is about automation and intelligence. Control engineers design the algorithms and software that give systems agility and balance, as well as the ability to adapt, learn and discover when confronted with uncertainty. Control engineers create agile robots, vision-based navigation algorithms, congestion resistant data-networks, highway automation and air traffic coordination software, missile guidance systems, disk-drive controllers, efficiency optimizing engine electronics and they are sought after for non-engineering applications such as economic forecasting and portfolio management. The theory of control is intimately intertwined with and includes the science of system identification, which concerns the creation of systems for intelligently reducing large amounts of experimental and historical data to simple mathematical models that can be used either for forecasting or to design automatic control systems.
Theory – mathematics of feedback, control and intelligence
Robust control – feedback stabilization for uncertain, varying systems
Adaptive control – learning systems, systems identification
Robots – vision-based control, intelligence
Dynamic Games – robust worst-case design, search and rescue