2 papers
eess.SY2021
Deep Stochastic Optimal Control Policies for Planetary Soft-landing
Marcus A. Pereira, Camilo A. Duarte, Ioannis Exarchos +1
In this paper, we introduce a novel deep learning based solution to the Powered-Descent Guidance (PDG) problem, grounded in principles of nonlinear Stochastic Optimal Control (SOC)…
math.OC2020
Adaptive Risk Sensitive Model Predictive Control with Stochastic Search
Ziyi Wang, Oswin So, Keuntaek Lee +2
We present a general framework for optimizing the Conditional Value-at-Risk for dynamical systems using stochastic search. The framework is capable of handling the uncertainty from…