most citedPontryagin-Bellman Differential Dynamic Programming for Low-Thrust Trajectory Optimization with Path Constraints

2 citations · 2 across the 1 of their papers we have counts for

collaborators

11 papers

math.OC20262 cited

Pontryagin-Bellman Differential Dynamic Programming for Low-Thrust Trajectory Optimization with Path Constraints

Yanis Sidhoum, Kenshiro Oguri

We present a Differential Dynamic Programming framework that parameterizes the control via Pontryagin's Minimum Principle, for constrained low-thrust trajectory optimization. This…

math.OC2026

Chance-Constrained Covariance Steering for Discrete-Time Markov Jump Linear Systems

Shaurya Shrivastava, Kenshiro Oguri

In this paper, we solve the chance-constrained covariance steering problem for discrete-time Markov Jump Linear Systems (MJLS) using a convex optimization framework. We derive the…

math.OC2026

Convex Bound of Nonlinear Dynamical Errors for Covariance Steering

Daniel C. Qi, Kenshiro Oguri

Applying linear controllers to nonlinear systems requires the dynamical linearization about a reference. In highly nonlinear environments such as cislunar space, the region of vali…

math.OC2026

Data-Efficient Non-Gaussian Semi-Nonparametric Density Estimation for Nonlinear Dynamical Systems

Aaron R. Liao, Kenshiro Oguri, Michele D. Carpenter

Accurate representation of non-Gaussian distributions of quantities of interest in nonlinear dynamical systems is critical for estimation, control, and decision-making, but can be…

math.OC2026

Generalizing Output-Feedback Covariance Steering to Incorporate Non-Orthogonal Estimation Errors

Daniel C. Qi, Kenshiro Oguri

This paper addresses the problem of steering a state distribution over a finite horizon in discrete time with output feedback. The incorporation of output feedback introduces addit…

eess.SY2026

Convex Block-Cholesky Approach to Risk-Constrained Low-thrust Trajectory Design under Operational Uncertainty

Kenshiro Oguri, Gregory Lantoine

Designing robust trajectories under uncertainties is an emerging technology that may represent a key paradigm shift in space mission design. As we pursue more ambitious scientific…