Autonomy and Control

The Autonomy and Control group is involved in fundamental research and the development of algorithms and experiments for the modelling, simulation and control of aerospace systems. Example applications include aircraft, spacecraft and UASs (unmanned aerospace systems), especially networks of these systems. Other applications include control of multi-agent networks, air traffic and transportation, and cyberphysical systems. The research combines expertise in control theory, robotics, optimization, nonlinear systems, hybrid systems, stochastic systems, and system of systems.


Flight Dynamics & Control/Hybrid Systems Lab

The research in the FD&C;/HS Lab focuses on modeling and control of the Cyber-Physical System (CPS), which is a complex (networked) system with interacting physical and logical components, and its applications to safety-critical aerospace systems such as aircraft, spacecraft, Unmanned Aircraft Systems (UAS), Air Traffic Control (ATC), and multiple-vehicle systems (e.g., swarm of UAS).

More about the Flight Dynamics & Control/Hybrid Systems Lab

Flight Dynamics & Control/Hybrid Systems

  • Lead Professor: Inseok Hwang
  • Location: ARMS 3132
  • Multiple-vehicle systems
  • Path planning and conflict detection and resolution
  • Lab Website
Autonomous & Intelligent Multi-agent Systems (AIMS) Lab

The lab aims to investigate autonomy and intelligence for networked systems consisting of multiple unmanned mobile agents, through combination of theories in control, networks, optimizations and artificial intelligence. We are interested in both theoretical research towards novel control algorithms for coordination among a large-network of mobile agents and experimental implementations for improving autonomy and intelligence of the overall networked system.

More about the Autonomous & Intelligent Multi-agent Systems (AIMS) Lab

Autonomous & Intelligent Multi-agent Systems (AIMS) Lab