activity
20142025
most citedSparse optimal stochastic control

16 citations · 21 across the 8 of their papers we have counts for

collaborators

9 papers

math.OC2025

Sparse optimal control for infinite-dimensional linear systems with applications to graphon control

Takuya Ikeda, Masaaki Nagahara

Large-scale networked systems typically operate under resource constraints, and it is also difficult to exactly obtain the network structure between nodes. To address these issues,…

math.OC2025

Switched Systems Control via Discreteness-Promoting Regularization

Masaaki Nagahara, Takuya Ikeda, Ritsuki Hoshimoto

This paper proposes a novel method for designing finite-horizon discrete-valued switching signals in linear switched systems based on discreteness-promoting regularization. The inh…

math.OC2022★ 2 cited

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…

math.OC2021★ 16 cited

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…

math.OC2021

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…

eess.SY2015

Maximum Hands-off Control without Normality Assumption

Takuya Ikeda, Masaaki Nagahara

Maximum hands-off control is a control that has the minimum L0 norm among all feasible controls. It is known that the maximum hands-off (or L0-optimal) control problem is equivalen…

eess.SY2015★ 2 cited

Discrete-Valued Control by Sum-of-Absolute-Values Optimization

Takuya Ikeda, Masaaki Nagahara, Shunsuke Ono

In this paper, we propose a new design method of discrete-valued control for continuous-time linear time-invariant systems based on sum-of-absolute-values (SOAV) optimization. We f…

eess.SY2014★ 1 cited

Value Function in Maximum Hands-off Control

Takuya Ikeda, Masaaki Nagahara

In this brief paper, we study the value function in maximum hands-off control. Maximum hands-off control, also known as sparse control, is the L0-optimal control among the admissib…

eess.SY2014

Continuity of the Value Function in Sparse Optimal Control

Takuya Ikeda, Masaaki Nagahara

We prove the continuity of the value function of the sparse optimal control problem. The sparse optimal control is a control whose support is minimum among all admissible controls.…