22 citations · 102 across the 17 of their papers we have counts for
17 papers
Entropic Model Predictive Optimal Transport for Underactuated Linear Systems
Kaito Ito, Kenji Kashima
This letter investigates dynamical optimal transport of underactuated linear systems over an infinite time horizon. In our previous work, we proposed to integrate model predictive…
An LMI Framework for Contraction-based Nonlinear Control Design by Derivatives of Gaussian Process Regression
Yu Kawano, Kenji Kashima
Contraction theory formulates the analysis of nonlinear systems in terms of Jacobian matrices. Although this provides the potential to develop a linear matrix inequality (LMI) fram…
Entropic Model Predictive Optimal Transport over Dynamical Systems
Kaito Ito, Kenji Kashima
We consider the optimal control problem of steering an agent population to a desired distribution over an infinite horizon. This is an optimal transport problem over dynamical syst…
Resilience Evaluation of Entropy Regularized Logistic Networks with Probabilistic Cost
Koshi Oishi, Yota Hashizume, Tomohiko Jimbo +2
The demand for resilient logistics networks has increased because of recent disasters. When we consider optimization problems, entropy regularization is a powerful tool for the div…
Maximum entropy optimal density control of discrete-time linear systems and Schrödinger bridges
Kaito Ito, Kenji Kashima
We consider an entropy-regularized version of optimal density control of deterministic discrete-time linear systems. Entropy regularization, or a maximum entropy (MaxEnt) method fo…
Kullback-Leibler control for discrete-time nonlinear systems on continuous spaces
Kaito Ito, Kenji Kashima
Kullback-Leibler (KL) control enables efficient numerical methods for nonlinear optimal control problems. The crucial assumption of KL control is the full controllability of the tr…
Matrix Pontryagin principle approach to controllability metrics maximization under sparsity constraints
Tomofumi Ohtsuka, Takuya Ikeda, Kenji Kashima
Controllability maximization problem under sparsity constraints is a node selection problem that selects inputs that are effective for control in order to minimize the energy to co…
Learning Stabilizable Deep Dynamics Models
Kenji Kashima, Ryota Yoshiuchi, Yu Kawano
When neural networks are used to model dynamics, properties such as stability of the dynamics are generally not guaranteed. In contrast, there is a recent method for learning the d…
Sinkhorn MPC: Model predictive optimal transport over dynamical systems
Kaito Ito, Kenji Kashima
We consider the optimal control problem of steering an agent population to a desired distribution over an infinite horizon. This is an optimal transport problem over a dynamical sy…
Sparse optimal stochastic control
Kaito Ito, Takuya Ikeda, Kenji Kashima
In this paper, we investigate a sparse optimal control of continuous-time stochastic systems. We adopt the dynamic programming approach and analyze the optimal control via the valu…
Multiple sparsity constrained control node scheduling with application to rebalancing of mobility networks
Takuya Ikeda, Kazunori Sakurama, Kenji Kashima
This paper treats an optimal scheduling problem of control nodes in networked systems. We newly introduce both the L0 and l0 constraints on control inputs to extract a time-varying…
Structured Hammerstein-Wiener Model Learning for Model Predictive Control
Ryuta Moriyasu, Taro Ikeda, Sho Kawaguchi +1
This paper aims to improve the reliability of optimal control using models constructed by machine learning methods. Optimal control problems based on such models are generally non-…
Bayesian Differential Privacy for Linear Dynamical Systems
Genki Sugiura, Kaito Ito, Kenji Kashima
Differential privacy is a privacy measure based on the difficulty of discriminating between similar input data. In differential privacy analysis, similar data usually implies that…
Noise Response Data Reveal Novel Controllability Gramian for Nonlinear Network Dynamics
Kenji Kashima
Control of nonlinear large-scale dynamical networks, e.g., collective behavior of agents interacting via a scale-free connection topology, is a central problem in many scientific a…
Effects of time delay in feedback control of linear quantum systems
Kazunori Nishio, Kenji Kashima, Jun-ichi Imura
We investigate feedback control of linear quantum systems subject to feedback-loop time delays. In particular, we examine the relation between the potentially achievable control pe…
Control of Quantum Systems Despite Feedback Delay
Kenji Kashima, Naoki Yamamoto
Feedback control (based on the quantum continuous measurement) of quantum systems inevitably suffers from estimation delays. In this paper we give a delay-dependent stability crite…
The M2-brane Solution of Heterotic M-theory with the Gauss-Bonnet R^2 terms
Ken Kashima
We consider the effective action of M-theory compactified on a S^1/Z_2 orbifold with R^2 interaction in the Gauss-Bonnet combination. We derive equations of motion with source term…