14 citations · 14 across the 3 of their papers we have counts for
3 papers
Fast Monte Carlo Analysis for 6-DoF Powered-Descent Guidance via GPU-Accelerated Sequential Convex Programming
Govind M. Chari, Abhinav G. Kamath, Purnanand Elango +1
We introduce a GPU-accelerated Monte Carlo framework for nonconvex, free-final-time trajectory optimization problems. This framework makes use of the prox-linear method, which belo…
Successive Convexification for Nonlinear Model Predictive Control with Continuous-Time Constraint Satisfaction
Samet Uzun, Purnanand Elango, Abhinav G. Kamath +2
We propose a nonlinear model predictive control (NMPC) framework based on a direct optimal control method that ensures continuous-time constraint satisfaction and accurate evaluati…
Successive Convexification for Trajectory Optimization with Continuous-Time Constraint Satisfaction
Purnanand Elango, Dayou Luo, Abhinav G. Kamath +3
We present successive convexification, a real-time-capable solution method for nonconvex trajectory optimization, with continuous-time constraint satisfaction and guaranteed conver…