Abstract Space mission design places a premium on cost and operational efficiency. The
search for new science and life beyond Earth calls for spacecraft that can deliver scientific …

Optimal control problems (OCPs) with a control-affine Hamiltonian may lead to extremal
solutions with singular control arcs. The presence of singular control arcs along with multiple …

This work introduces a sequential convex programming framework for non-linear,
finitedimensional stochastic optimal control, where uncertainties are modeled by a …

In this paper, we develop a geometric analysis and a numerical algorithm, based on indirect
methods, to solve optimal guidance of endoatmospheric launch vehicle systems under …

In the context of the development of future launchers, Toss Back concepts are being studied
by CNES together with ONERA. Focusing on the recovery phase between end of ascent and …

Over the last two decades, pseudospectral methods based on Lagrange interpolants have
flourished in solving trajectory optimization problems and their flight implementations. In a …

This paper presents an interior point method for pure state and mixed-constraint optimal
control problems for dynamics, mixed constraints, and cost function all affine in the control …

Exploring the solution space of indirect methods can provide initial guesses and evaluate
the solutions with arbitrary design parameters. In this paper, the solution space of the …

View Video Presentation: https://doi. org/10.2514/6.2022-1128. vid This paper presents an
efficient indirect optimization method to solve time-and fuel-optimal asteroid landing …

We propose an alternative derivation of extremal control inputs for optimal control problems
with mixed regular and singular control arcs and in the presence of state path constraints. As …