From the 1 of 11 linked papers with an AI index.
11 papers
Modeling and Control of Deep Sign-Definite Dynamics with Application to Hybrid Powertrain Control
Teruki Kato, Ryotaro Shima, Kenji Kashima
The paper proposes enforcing sign constraints on the Jacobian of deep neural network models to ensure physical properties like monotonicity and positivity, enabling convex model pr…
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 version of optimal density control of a discrete-time linear system. MI optimal control has been proposed as an extension of maxim…
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…
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…
Convex Chance-Constrained Stochastic Control under Uncertain Specifications with Application to Learning-Based Hybrid Powertrain Control
Teruki Kato, Ryotaro Shima, Kenji Kashima
This paper presents a strictly convex chance-constrained stochastic control framework that accounts for uncertainty in control specifications such as reference trajectories and ope…
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…