2 citations · 2 across the 2 of their papers we have counts for
12 papers
On the Optimality of Markovian Policies for Chance-Constrained Covariance Steering
Naoya Kumagai, Kenshiro Oguri
Many studies on finite-horizon stochastic optimal control, including covariance steering, parameterize control policies as state-history-affine. This parameterization enables a con…
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…
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…
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…
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…
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…