1 citations · 1 across the 5 of their papers we have counts for
5 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…
Square Root-Factorized Covariance Steering
Naoya Kumagai, Kenshiro Oguri
Covariance steering (CS) synthesizes a control policy which drives the state's mean and covariance matrix towards desired values. Offering tractable computation of a closed-loop po…
Hands-Off Covariance Steering: Inducing Feedback Sparsity via Iteratively Reweighted Regularization
Naoya Kumagai, Kenshiro Oguri
We consider the problem of optimally steering the state covariance matrix of a discrete-time linear stochastic system to a desired terminal covariance matrix, while inducing the co…
Robust Cislunar Low-Thrust Trajectory Optimization under Uncertainties via Sequential Covariance Steering
Naoya Kumagai, Kenshiro Oguri
Spacecraft operations are influenced by uncertainties such as dynamics modeling, navigation, and maneuver execution errors. Although mission design has traditionally incorporated h…
Chance-Constrained Gaussian Mixture Steering to a Terminal Gaussian Distribution
Naoya Kumagai, Kenshiro Oguri
We address the problem of finite-horizon control of a discrete-time linear system, where the initial state distribution follows a Gaussian mixture model, the terminal state must fo…