23 citations · 29 across the 14 of their papers we have counts for
14 papers
Collision-Free Shepherding Control of a Single Target within a Swarm
Yaosheng Deng, Aiyi Li, Masaki Ogura +1
The shepherding problem refers to guiding a group of agents (called sheep) to a specific destination using an external agent with repulsive forces (called shepherd). Although vario…
Shepherding Heterogeneous Flocks: Overview and Prospect
Anna Fujioka, Masaki Ogura, Naoki Wakamiya
The problem of guiding a flock of several autonomous agents using repulsion force exerted by a smaller number of agents is called the shepherding problem and has been attracting at…
Reduced-Order Model Predictive Control of a Fish Schooling Model
Masaki Ogura, Naoki Wakamiya
We study the problem of model predictive control (MPC) for the fish schooling model proposed by Gautrais et al. (Annales Zoologici Fennici, 2008). The high nonlinearity of the mode…
Communication-Free Shepherding Navigation with Multiple Steering Agents
Aiyi Li, Masaki Ogura, Naoki Wakamiya
Swarm guidance addresses a challenging problem considering the navigation and control of a group of passive agents. To solve this problem, shepherding offers a bio-inspired techniq…
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.…
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…
Deep unfolding-based output feedback control design for linear systems with input saturation
Koki Kobayashi, Masaki Ogura, Taisuke Kobayashi +1
In this paper, we propose a deep unfolding-based framework for the output feedback control of systems with input saturation. Although saturation commonly arises in several practica…
Finite-time Control of Discrete-time Positive Linear Systems via Convex Optimization
Chengyan Zhao, Masaki Ogura, Kenji Sugimoto
In this paper, we study a class of finite-time control problems for discrete-time positive linear systems with time-varying state parameters. Although several interesting control p…
Distributed Collaborative 3D-Deployment of UAV Base Stations for On-Demand Coverage
Tatsuaki Kimura, Masaki Ogura
Deployment of unmanned aerial vehicles (UAVs) performing as flying aerial base stations (BSs) has a great potential of adaptively serving ground users during temporary events, such…
Optimal Resource Allocation for Dynamic Product Development Process via Convex Optimization
Chengyan Zhao, Masaki Ogura, Masako Kishida +1
Resource allocation is an essential aspect of successful Product Development (PD). In this paper, we formulate the dynamic resource allocation of the PD process as a convex optimiz…
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…
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…
Sampled-Data State Observation over Lossy Networks under Round-Robin Scheduling
Toshihide Tadenuma, Masaki Ogura, Kenji Sugimoto
In this paper, we study the problem of continuous-time state observation over lossy communication networks. We consider the situation in which the samplers for measuring the output…
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…