Control Systems


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.

Topic Areas

  • Adaptive control – learning systems, system identification
  • Aerospace – missile, spacecraft guidance and control
  • Computation – general purpose design optimization algorithms
  • Dynamic Games – robust worst-case design, search and rescue
  • Intelligence – software for autonomous exploration & discovery
  • Networks – data-network congestion control, internet defense
  • Robots – vision-based control, intelligence
  • Robust control – feedback stabilization for uncertain, varying systems
  • Transportation – vehicle and highway automation, traffic management
  • Theory – mathematics of feedback, control and intelligence


Petros Ioannou, Edmond A. Jonckheere, Mihailo JovanovicBart Kosko, Daniel Lidar, Vasilis Z. Marmarelis, Ashutosh NayyarAristides Requicha, Leonard Silverman, Insoon Yang

Research Centers and Labs