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 …

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

We study the convex hulls of reachable sets of nonlinear systems with bounded
disturbances. Reachable sets play a critical role in control, but remain notoriously …

In this work, we address the real-time optimal guidance of launch vehicles with the objective
of designing an autonomous algorithm for the prediction of optimal control strategies, based …

In this paper, we consider continuous-time stochastic optimal control problems where the
cost is evaluated through a coherent risk measure. We provide an explicit gradient descent …

In this paper, we design a controller for an interconnected system composed of a linear
Stochastic Differential Equation (SDE) controlled through a linear hetero-directional …

In this paper, we consider continuous-time stochastic optimal control problems where the
cost is evaluated through a coherent risk measure. We provide an explicit gradient descent …

Consider a general nonlinear optimal control problem in finite dimension, with constant state
and/or control delays. By the Pontryagin maximum principle, any optimal trajectory is the …

Disturbing gravity field is becoming an important factor leading to impact error of long-range
rockets. In this paper, the influence mechanism of deflection of the vertical and spatial …

This paper is devoted to solve a set of non-linear optimal control problems which are
touched with time-delay Fredholm integro-differential equations. The serious objective of this …