Stochastic Optimal Control for Autonomous Vehicles
Stochastic Optimal Control for Autonomous Vehicles
Develop stochastic optimal control theories for robust design and operations of autonomous aerospace vehicles
Image: Robust open-loop orbit transfer under uncertainty, designed by applying stochastic primer vector theory. The stochastic primer vector theory is developed by extending the classical primer vector theory, combining techniques from optimal control theory, astrodynamics, and stochastic systems. See Stochastic Primer Vector for Robust Low-thrust Trajectory Design under Uncertainty for more detail
See Control & Planning under Uncertainty for more detail on our research on control and planning algorithms for autonomous vehicles and Spacecraft GNC & Autonomy for our spacecraft autonomy research