126 citations · 592 across the 41 of their papers we have counts for
42 papers
Manipulation of Neuronal Network Firing Patterns using Temporal Deep Unfolding-based MPC
Jumpei Aizawa, Masaki Ogura, Masanori Shimono +1
Because neuronal networks are intricate systems composed of interconnected neurons, their control poses challenges owing to their nonlinearity and complexity. In this paper, we pro…
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…
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…
Optimization of stochastic switching buffer network via DC programming
Chengyan Zhao, Kazunori Sakurama, Masaki Ogura
This letter deals with the optimization problems of stochastic switching buffer networks, where the switching law is governed by Markov process. The dynamical buffer network is int…
Mean Escape Time of Switched Riccati Differential Equations
Masaki Ogura, Clyde F. Martin
Riccati differential equations is the class of first-order and quadratic ordinary differential equations and has various applications in the systems and control theory. In this pap…
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…
Effects of concurrency on epidemic spreading in Markovian temporal networks
Ruodan Liu, Masaki Ogura, Elohim Fonseca Dos Reis +1
The concurrency of edges, quantified by the number of edges that share a common node at a given time point, may be an important determinant of epidemic processes in temporal networ…
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…
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…
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…
Geometric Programming for Optimal Positive Linear Systems
Masaki Ogura, Masako Kishida, James Lam
This paper studies the parameter tuning problem of positive linear systems for optimizing their stability properties. We specifically show that, under certain regularity assumption…
Stability Optimization of Positive Semi-Markov Jump Linear Systems via Convex Optimization
Chengyan Zhao, Masaki Ogura, Kenji Sugimoto
In this paper, we study the problem of optimizing the stability of positive semi-Markov jump linear systems. We specifically consider the problem of tuning the coefficients of the…
Synergistic Effects in Networked Epidemic Spreading Dynamics
Masaki Ogura, Wenjie Mei, Kenji Sugimoto
In this brief, we study epidemic spreading dynamics taking place in complex networks. We specifically investigate the effect of synergy, where multiple interactions between nodes r…
Kronecker weights for instability analysis of Markov jump linear systems
Wenjie Mei, Masaki Ogura
In this paper, we analyze the instability of continuous-time Markov jump linear systems. Although there exist several effective criteria for the stability of Markov jump linear sys…
Optimal Containment of Epidemics over Temporal Activity-Driven Networks
Masaki Ogura, Victor M. Preciado, Naoki Masuda
In this paper, we study the dynamics of epidemic processes taking place in temporal and adaptive networks. Building on the activity-driven network model, we propose an adaptive mod…
Resource Allocation for Containing Epidemics from Temporal Network Data
Masaki Ogura, Junichi Harada
We study the problem of containing epidemic spreading processes in temporal networks. We specifically focus on the problem of finding a resource allocation to suppress epidemic inf…
Distributed Agreement on Activity Driven Networks
Masaki Ogura, Junpei Tagawa, Naoki Masuda
In this paper, we investigate asymptotic properties of a consensus protocol taking place in a class of temporal (i.e., time-varying) networks called the activity driven network. We…
Second-Order Moment-Closure for Tighter Epidemic Thresholds
Masaki Ogura, Victor M. Preciado
In this paper, we study the dynamics of contagious spreading processes taking place in complex contact networks. We specifically present a lower-bound on the decay rate of the numb…
Delayed Bet-Hedging Resilience Strategies Under Environmental Fluctuations
Masaki Ogura, Masashi Wakaiki, Harvey Rubin +1
Many biological populations, such as bacterial colonies, have developed through evolution a protection mechanism, called bet-hedging, to increase their probability of survival unde…
Optimal Containment of Epidemics in Temporal and Adaptive Networks
Masaki Ogura, Victor M. Preciado
In this chapter, we focus on the problem of containing the spread of diseases taking place in both temporal and adaptive networks (i.e., networks whose structure `adapts' to the st…
Katz Centrality of Markovian Temporal Networks: Analysis and Optimization
Masaki Ogura, Victor M. Preciado
Identifying important nodes in complex networks is a fundamental problem in network analysis. Although a plethora of measures has been proposed to identify important nodes in stati…
Stability of SIS Spreading Processes in Networks with Non-Markovian Transmission and Recovery
Masaki Ogura, Victor M. Preciado
Although viral spreading processes taking place in networks are often analyzed using Markovian models in which both the transmission and the recovery times follow exponential distr…
Dynamic Analysis of Bet-Hedging Strategies as a Protection Mechanism against Environmental Fluctuations
Masaki Ogura, Masashi Wakaiki, Victor M. Preciado
In order to increase their robustness against environmental fluctuations, many biological populations have developed bet-hedging mechanisms in which the population `bets' against t…
Efficient Containment of Exact SIR Markovian Processes on Networks
Masaki Ogura, Victor M. Preciado
This paper introduces a theoretical framework for the analysis and control of the stochastic susceptible-infected-removed (SIR) spreading process over a network of heterogeneous ag…