2 citations · 3 across the 16 of their papers we have counts for
20 papers
Encrypted collision avoidance maneuver via variational optimization
Yeongjun Jang, Jihoon Suh, Kenshiro Oguri +1
We propose an encrypted collision avoidance maneuver (CAM) design protocol using homomorphic encryption (HE) that enables operators to outsource CAM design to an untrusted server w…
Robust Halo Orbit Stationkeeping Under Missed Thrust Events and Maneuver Execution Errors
Shaurya Shrivastava, Kenshiro Oguri
Spacecraft stationkeeping is subject to various operational uncertainties such as missed thrust events, maneuver execution errors, and dynamics modeling errors. Missed thrust event…
Cubature-Based Statistical Moment Steering for Nonlinear, Non-Gaussian Trajectory Optimization
Daniel C. Qi, Kenshiro Oguri
This paper addresses discrete-time non-Gaussian distribution steering in deterministic nonlinear systems. Distribution steering is a problem in which a control policy is designed o…
Global Regularization of the Spatial Elliptic Restricted Three-body Problem: Quaternionic, Hamiltonian Formulation
Kenshiro Oguri
Any objects in space may encounter singularity due to the inverse-square law of the gravitational force, hindering the analysis and propagation of particle motion in space. Regular…
Global Optimization Framework for Automated Low-Thrust Gravity-Assist Trajectory Design
Ryo Iijima, Kenshiro Oguri, Toshinori Kuwahara
Gravity-assist trajectory design requires searching numerous leg combinations, but applying nonlinear programming (NLP) for low-thrust trajectory optimization to all combinations i…
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…
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…
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…
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…
Non-Gaussian Distribution Steering in Nonlinear Dynamics with Conjugate Unscented Transformation
Daniel C. Qi, Kenshiro Oguri, Puneet Singla +1
In highly nonlinear systems such as the ones commonly found in astrodynamics, Gaussian distributions generally evolve into non-Gaussian distributions. This paper introduces a metho…
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…
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…
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…
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…
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…
Autonomous Horizon-based Asteroid Navigation With Observability-constrained Maneuvers
Aditya Arjun Anibha, Kenshiro Oguri
Small body exploration is a pertinent challenge due to low gravity environments and strong sensitivity to perturbations like Solar Radiation Pressure (SRP). Thus, autonomous method…
Robust Controller Synthesis under Markovian Mode Switching with Periodic LTV Dynamics
Shaurya Shrivastava, Kenshiro Oguri
In this work, we propose novel LMI-based controller synthesis frameworks for periodically time-varying Markov-jump linear systems. We first discuss the necessary conditions for mea…
Chance-Constrained Control for Safe Spacecraft Autonomy: Convex Programming Approach
Kenshiro Oguri
This paper presents a robust path-planning framework for safe spacecraft autonomy under uncertainty and develops a computationally tractable formulation based on convex programming…
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…