We consider the design of a feedback control for a stochastic affine time-varying system with explicit boundary conditions on the state mean and covariance, a method referred to in the literature as covariance steering, with application to the Martian powered descent problem. Linear covariance steering theory is first extended to include a deterministic affine forcing term, and is then simulated with disturbances on the order of those expected for a typical Martian entry, descent, and landing mission. Numerical results demonstrate the benefits of the approach compared to standard Monte Carlo evaluation.
The solution to the problem of covariance steering in finite time is also of great importance to entry, descent, and landing problems REF .
Uncertainty Quantication and Control During Mars Powered Descent and Landing using Covariance Steering
2018 AIAA Guidance, Navigation, and Control Conference
2018 AIAA Guidance, Navigation, and Control Conference
Computer Science