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20182023
most citedDeep Learning-Based Average Consensus

23 citations · 29 across the 14 of their papers we have counts for

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5 papers · 1 filter

math.OC2021

Temporal Deep Unfolding for Nonlinear Maximum Hands-off Control

Masako Kishida, Masaki Ogura

This paper proposes a computational technique based on "deep unfolding" to solving the finite-time maximum hands-off control problem for discrete-time nonlinear stochastic systems.…

math.OC2020★ 2 cited

Event-Triggered Control for Mitigating SIS Spreading Processes

Kazumune Hashimoto, Yuga Onoue, Masaki Ogura +1

In this paper, we investigate the problem of designing event-triggered controllers for containing epidemic processes in complex networks. We focus on a deterministic susceptible-in…

math.OC2019★ 23 cited

Deep Learning-Based Average Consensus

Masako Kishida, Masaki Ogura, Yuichi Yoshida +1

In this study, we analyzed the problem of accelerating the linear average consensus algorithm for complex networks. We propose a data-driven approach to tuning the weights of tempo…

math.OC2019

Resource Optimization of Product Development Projects with Time-Varying Dependency Structure

Masaki Ogura, Junichi Harada, Masako Kishida +1

Project managers are continuously under pressure to shorten product development durations. One practical approach for reducing the project duration is lessening dependencies betwee…

math.OC2018★ 4 cited

Model predictive control for energy-efficient operation of data centers with cold aisle containments

Masaki Ogura, Jianxiong Wan, Shoji Kasahara

In this paper, we study a problem of controlling cooling facilities and computational equipments for energy-efficient operations of data centers. Although a plethora of approaches…