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20232026
most citedMaximum Entropy Density Control of Discrete-Time Linear Systems with Quadratic Cost

4 citations · 4 across the 14 of their papers we have counts for

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math.OC2026

Control Realization of Schrödinger Bridges over Discrete-Time Nonlinear Systems via Maximum-Entropy Distribution Steering

Kaito Ito, Kenji Kashima

This paper shows how a Schrodinger bridge (SB) structure emerges from maximum-entropy (MaxEnt) distribution steering of discrete-time nonlinear systems. We also establish that the…

math.OC2026

Constrained minmax density transportation for linear parabolic PDEs: a numerical optimal control perspective

Siddhartha Ganguly, Vaibhav Upadhyay, Kenji Kashima +1

This article introduces a numerical optimal control framework for minmax constrained density control for a class of noisy linear parabolic partial differential equations (PDEs), in…

math.OC2026

Mutual Information Optimal Density Control of Linear Systems and Generalized Schrödinger Bridges with Reference Refinement

Shoju Enami, Kenji Kashima

We consider a mutual information (MI) regularized optimal density control of a discrete-time linear system. MI optimal control has been utilized for exploration in reinforcement le…

math.OC2026

Unbalanced Optimal Transport and Density Control for Discrete-Time Linear Systems

Haruto Nakashima, Siddhartha Ganguly, Kenji Kashima

This article studies unbalanced optimal transport (UOT) and its dynamical extension, unbalanced density control (UDC), for a class of constrained discrete-time linear systems. UOT…

math.OC2026

Globally Solving Unbalanced Optimal Transport and Density Control for Gaussian Distributions

Haruto Nakashima, Siddhartha Ganguly, Kenji Kashima

In this article, we study unbalanced optimal transport (UOT) and establish a control-theoretic dynamical extension, which we call the unbalanced density control (UDC), for a class…

eess.SY2026

Convex Chance-Constrained Stochastic Control under Uncertain Specifications with Application to Learning-Based Hybrid Powertrain Control

Teruki Kato, Ryotaro Shima, Kenji Kashima

This paper proposes a strictly convex chance-constrained stochastic control framework that accounts for uncertainty in control specifications such as reference trajectories and ope…

math.OC2026

Robust maximum hands-off optimal control: existence, maximum principle, and - equivalence

Siddhartha Ganguly, Kenji Kashima

This work advances the maximum hands-off sparse control framework by developing a robust counterpart for constrained linear systems with parametric uncertainties. The resulting opt…