activity
20182023
most citedShepherding Heterogeneous Flock with Model-Based Discrimination

9 citations · 16 across the 6 of their papers we have counts for

collaborators

9 papers

cs.MA20229 cited

Shepherding Heterogeneous Flock with Model-Based Discrimination

Anna Fujioka, Masaki Ogura, Naoki Wakamiya

The problem of guiding a flock of agents to a destination by the repulsion forces exerted by a smaller number of external agents is called the shepherding problem. This problem has…

eess.SY2022

Shepherding Control for Separating a Single Agent from a Swarm

Yaosheng Deng, Masaki Ogura, Aiyi Li +1

In this paper, we consider the swarm-control problem of spatially separating a specified target agent within the swarm from all the other agents, while maintaining the connectivity…

math.OC20221 cited

Static Output Feedback Synthesis of Time-Delay Linear Systems via Deep Unfolding

Masaki Ogura, Koki Kobayashi, Kenji Sugimoto

We propose a deep unfolding-based approach for stabilization of time-delay linear systems. Deep unfolding is an emerging framework for design and improvement of iterative algorithm…

cs.SI20206 cited

On the fundamental equation of user dynamics and the structure of online social networks

Masaki Aida, Chisa Takano, Masaki Ogura

Online social networks suffer from explosive user dynamics such as flaming that can seriously affect social activities in the real world because the dynamics have growth rates that…

eess.SY2019

Mixed Control Control of Delayed Markov Jump Linear Systems

Wenjie Mei, Chengyan Zhao, Masaki Ogura +1

This paper investigates state feedback control laws for Markov jump linear systems with state and mode-observation delays. An assumption in this study is that the delay of mode obs…

physics.soc-ph2019

Analysis of the susceptible-infected-susceptible epidemic dynamics in networks via the non-backtracking matrix

Naoki Masuda, Victor M. Preciado, Masaki Ogura

We study the stochastic susceptible-infected-susceptible model of epidemic processes on finite directed and weighted networks with arbitrary structure. We present a new lower bound…