Decision and Control Systems
Decision and Control Systems is a foundational discipline within industrial and systems engineering focused on the modeling, analysis and regulation of dynamic systems. It provides the mathematical and computational principles that enable systems to operate with precision, stability and adaptability in the presence of uncertainty.
This area integrates control theory, optimization and decision-making frameworks to describe how systems evolve and respond to inputs and feedback. By connecting theory with implementation, it supports the design of algorithms that monitor, predict and adjust system behavior in real time.
Research and course development in encompass four core areas:
- Autonomous systems, vehicles, rockets and robots
- Smart infrastructure and environmental control
- Economic system modeling
- Health care technologies and tele-surgery
Control systems analysis often requires advanced mathematical tools. Techniques such as dynamic programming and model predictive control form the basis for developing algorithms that guide complex engineered and socio-technical systems. This integration of modeling, computation and decision-making defines the field and continues to advance its theoretical and applied boundaries.