22 citations · 102 across the 17 of their papers we have counts for
4 papers · 2 filters
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…