Jun‐ichi Imura 研究室

主宰者：Jun‐ichi Imura

東京工業大学

AI 要約（直近 5 年の研究成果）

Imura研究室では、複雑なシステムの急激な崩壊を事前に予知し、その進行を防ぐことを目指した研究を展開しています。特に、遺伝子制御ネットワークや代謝系などの生物システムを対象に、極めて限られたサンプルから大量の情報を抽出する「高次元・小標本データ解析」という手法を開発しています。これにより、病気が発症する前の危機的な状態を検出し、対象となる遺伝子や分子の候補を同定することで、超早期の医学的介入を実現することを目指しています。具体的には、「動的ネットワークバイオマーカー理論」という枠組みを用いて、システムが劇的に変化する直前に現れる特徴的な揺らぎを検出します。この理論は数学的な制御工学の手法と融合されており、ネットワークの安定性を回復させる「再安定化」という戦略へと発展しています。さらに、ショウジョウバエなどの生物実験を通じて、理論から提唱された治療標的が実際に有効であることを検証しており、基礎理論と実験の双方向的な検証を特徴としています。加えて研究室では、自動運転車や電力ネットワークなどの人工的な大規模システムへの応用も進めています。交通流制御やサイバー攻撃検出など、多様な領域で早期警戒と最適制御の原理を適用し、システムの安全性と効率性の向上に貢献する研究を行っています。

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

外部リンク

研究成果（96 件）

[2026] Data-Driven Clustering and Energy Characterization of Plug-In Hybrid Electric Vehicle Usage Patterns: A Gaussian Mixture-Based Framework
DOI: https://doi.org/10.3390/systems14070793
[2025] Dynamical network biomarker analysis using multi-organ RNA sequencing in metabolic syndrome model mice
DOI: https://doi.org/10.1587/nolta.17.186
[2025] Resilient Distribution Network Planning Against Dynamic Malicious Power Injection Attacks
DOI: https://doi.org/10.1109/tcns.2025.3648474
[2025] Dynamical Network Biomarker Analysis of Biomolecular PID Control Systems Exhibiting Saddle-Node Bifurcation
DOI: https://doi.org/10.23919/sicefes67750.2025.11236666
[2025] EKF-based system parameter estimation under high-dimensional low-sample-size data
DOI: https://doi.org/10.1587/nolta.17.125
[2025] Adaptive false data injection attack detection in load frequency control using recurrent neural networks
DOI: https://doi.org/10.1080/18824889.2025.2597566
[2025] Facilitating Efficient Driving and Intersection Flow Using Auxiliary Traffic Signals for Traditional and Automated Vehicles
DOI: https://doi.org/10.1109/itsc60802.2025.11423497
[2025] Small-Sample-Size Data-Driven Early Disease-Detection and Re-stabilization for mRNA-Protein Gene Regulatory Networks
DOI: https://doi.org/10.23919/acc63710.2025.11107418
[2025] Dynamical network markers for heterogeneous hierarchical networks
DOI: https://doi.org/10.1038/s41598-025-08338-y
[2025] Tu1803: A NOVEL APPROACH TO ELUCIDATING THE PATHOGENESIS OF INFLAMMATORY BOWEL DISEASE USING MATHEMATICAL MODELS
DOI: https://doi.org/10.1016/s0016-5085(25)04332-x

続きを表示（残り 86 件）

[2025] Integration of Dynamical Network Biomarkers, Control Theory and Drosophila Model Identifies Vasa/DDX4 as the Potential Therapeutic Targets for Metabolic Syndrome
DOI: https://doi.org/10.3390/cells14060415
[2024] Cooperative Look-Ahead Lane Change System for Improving Driving Intelligence of Automated Vehicles in Critical Scenarios
DOI: https://doi.org/10.1109/tiv.2024.3357983
[2024] Ultra-early medical treatment-oriented system identification using High-Dimension Low-Sample-Size data
DOI: https://doi.org/10.1016/j.ifacsc.2024.100245
[2024] Electric vehicle eco-driving strategy at signalized intersections based on optimal energy consumption
DOI: https://doi.org/10.1016/j.jenvman.2024.122245
[2024] Re-Stabilizing Large-Scale Network Systems Using High-Dimension Low-Sample-Size Data Analysis
DOI: https://doi.org/10.1109/tetci.2024.3442824
[2024] Harmonizing Multi-lane Traffic Flows Using Low-penetrated Cooperative Intelligent Vehicles
DOI: https://doi.org/10.1109/iv55156.2024.10588832
[2024] Eco-Driving on Hilly Roads in a Mixed Traffic Environment: A Model Predictive Control Approach
DOI: https://doi.org/10.3390/act13040144
[2023] Distributed Design of Glocal Controllers via Hierarchical Model Decomposition
DOI: https://doi.org/10.1109/tac.2023.3234919
[2023] Model-Free Dominant Pole Placement for Restabilizing High-Dimensional Network Systems via Small-Sample-Size Data
DOI: https://doi.org/10.1109/access.2023.3274530
[2023] Design of input assignment and feedback gain for re-stabilizing undirected networks with High-Dimension Low-Sample-Size data
[2023] Cyberattack Detection in Smart Grids based on Reservoir Computing
DOI: https://doi.org/10.1016/j.ifacol.2023.10.1691
[2023] Data-Driven Re-stabilization of Gene Regulatory Network Towards Early Medical Treatment
DOI: https://doi.org/10.1016/j.ifacol.2023.10.738
[2023] Pre-disease Detection Using Dynamical Network Biomarkers in Gene Regulatory Networks with Cell-to-cell Interaction
DOI: https://doi.org/10.1016/j.ifacol.2023.10.859
[2023] Detecting pre-desynchronized states in oscillatory systems
DOI: https://doi.org/10.1016/j.ifacol.2023.10.673
[2023] Data Informativity for Lyapunov Equations
DOI: https://doi.org/10.1109/lcsys.2023.3286414
[2023] Equilibrium controllability analysis and input design of linear systems
[2023] Detecting pre-desynchronized states in oscillatory systems
[2023] Cyberattack Detection in Smart Grids based on Reservoir Computing
[2023] Controllability Maximization of Network Systems: Gradient Computation Based on Offline Data
DOI: https://doi.org/10.1016/j.ifacol.2023.10.887
[2023] Data Informativity for Lyapunov Equations
[2023] Model-Free Dominant Pole Placement for Restabilizing High-Dimensional Network Systems via Small-Sample-Size Data
[2023] Distributed Design of Glocal Controllers via Hierarchical Model Decomposition
[2023] Pre-disease Detection Using Dynamical Network Biomarkers in Gene Regulatory Networks with Cell-to-cell Interaction
[2023] Data-Driven Re-stabilization of Gene Regulatory Network Towards Early Medical Treatment
[2023] Monotonicity Analysis of the Optimal Operation Schedule Taking into Acount Power Network Structure
[2023] Controllability Maximization of Network Systems: Gradient Computation Based on Offline Data
[2023] Optimal eco-driving scheme for reducing energy consumption and carbon emissions on curved roads
DOI: https://doi.org/10.1016/j.heliyon.2023.e23586
[2023] Equilibrium controllability analysis and input design of linear systems
DOI: https://doi.org/10.1080/18824889.2023.2268815
[2023] A Small-Data Solution to Data-Driven Lyapunov Equations: Data Reduction from O(n2) to O(n)
DOI: https://doi.org/10.1587/transfun.2023map0010
[2023] Disconnection-Aware Attack Detection and Isolation With Separation-Based Detector Reconfiguration
[2023] Design of input assignment and feedback gain for re‐stabilizing undirected networks with High‐Dimension Low‐Sample‐Size data
DOI: https://doi.org/10.1002/rnc.6720
[2022] Disconnection-Aware Attack Detection and Isolation With Separation-Based Detector Reconfiguration
[2022] Single-Input Assignment Design for Stabilization of Undirected Networks Towards Ultra-Early Medical Treatment
DOI: https://doi.org/10.23919/ecc55457.2022.9838461
[2022] リアプノフ方程式のデータ可解性―必要十分条件とデータ駆動型解法―
[2022] 遺伝子ネットワークにおける高次元小標本データに基づく再安定化
[2022] ガソリン車と電気自動車の混在下における交通流最適制御
[2022] データ駆動型リアプノフ方程式のスモールデータ解法ーO(n^2)からO(n)へー
[2022] 遺伝子ネットワーク系におけるデータ駆動型入力配置
[2022] Data-driven Sensitivity Analysis of Controllability Measure for Network Systems
DOI: https://doi.org/10.1109/cdc51059.2022.9992345
[2022] Linear time-varying modeling of inter-organ regulatory system
DOI: https://doi.org/10.23919/iccas55662.2022.10003882
[2022] Three-stage Robust Unit Commitment Considering Decreasing Uncertainty in Wind Power Forecasting
[2022] Single-Input Assignment Design for Stabilization of Undirected Networks Towards Ultra-Early Medical Treatment
[2022] Linear time-varying modeling of inter-organ regulatory system
[2022] Look-Ahead Driving Schemes for Efficient Control of Automated Vehicles on Urban Roads
[2022] Adaptive Cruise Control with Look-Ahead Anticipation for Driving on Freeways
[2022] Three-Stage Robust Unit Commitment Considering Decreasing Uncertainty in Wind Power Forecasting
[2022] Adaptive Cruise Control with Look-Ahead Anticipation for Driving on Freeways
DOI: https://doi.org/10.3390/app12020929
[2022] Low-Sample-Size Data-Driven Re-stabilization of Gene Network Systems
[2022] Parameterization of All Output-Rectifying Retrofit Controllers
[2022] Data-driven Sensitivity Analysis of Controllability Measure for Network Systems
[2021] 臓器間神経ネットワークによるエネルギー代謝調節系のモデリングと積分フィードバック機構に関する研究
[2021] Control of Vehicular Traffic at an Intersection Using a Cyber-Physical Multiagent Framework
[2021] Data-driven Estimation and Maximization of Controllability Gramians
DOI: https://doi.org/10.1109/cdc45484.2021.9683701
[2021] Monotonicity Analysis of Day-Ahead Power Scheduling of Two Storage Batteries Based on PV Interval Prediction
DOI: https://doi.org/10.1109/cdc45484.2021.9683395
[2021] Look-Ahead Driving Schemes for Efficient Control of Automated Vehicles on Urban Roads
DOI: https://doi.org/10.1109/tvt.2021.3132936
[2021] Monotonicity Analysis of Day-Ahead Power Scheduling of Two Storage Batteries Based on PV Interval Prediction
[2021] Data-driven Estimation of Finite-time Controllability Gramians
[2021] 無向ネットワーク系の安定化のための単入力配置設計
[2021] Disconnection-Aware Attack Detection and Isolation With Separation-Based Detector Reconfiguration
DOI: https://doi.org/10.1109/tcst.2021.3118213
[2021] 出力可制御性グラミアンのデータ駆動型最大化
[2021] 雑音環境下における可制御性グラミアンの高精度データ駆動推定
[2021] Bi-Level Coordinated Merging of Connected and Automated Vehicles at Roundabouts
DOI: https://doi.org/10.3390/s21196533
[2021] Data-driven Estimation of Finite-time Controllability Gramians
[2021] Two-Stage Robust Unit Commitment with Uncertain Demand Response
DOI: https://doi.org/10.23919/ecc54610.2021.9654866
[2021] Two-stage Robust Unit Commitment with Uncertain Demand Response
[2021] Parameterization of All Output-Rectifying Retrofit Controllers
DOI: https://doi.org/10.1109/tac.2021.3082513
[2021] Three-Stage Robust Unit Commitment Considering Decreasing Uncertainty in Wind Power Forecasting
DOI: https://doi.org/10.1109/tii.2021.3079364
[2021] 大規模システムの階層制御
[2021] Safe-update of bi-layered controller and its application to power systems
DOI: https://doi.org/10.1080/18824889.2021.1894899
[2021] Fast online reinforcement learning control using state-space dimensionality reduction
[2021] 確率的なマクロスコピック基本図を用いた交通制御の提案
[2021] Safe-update of bi-layered controller and its application to power systems
[2021] ネットワーク制御系に対する攻撃の検出と隔離の統合設計
[2021] 非線形ネットワーク系における入出力データに基づいた入力配置についての考察
[2021] Fuzzy-tuned Model Predictive Control for Dynamic Eco-driving on Hilly Roads
[2021] Control of Vehicular Traffic at an Intersection Using a Cyber-Physical Multiagent Framework
DOI: https://doi.org/10.1109/tii.2021.3051961
[2021] Fast online reinforcement learning control using state-space dimensionality reduction
[2021] IFAC 世界⼤会 2023 に向けて
[2021] Data-driven Estimation and Maximization of Controllability Gramians
[2021] Two-Stage Robust Unit Commitment with Uncertain Demand Response
[2021] Modularity in design of dynamical network systems: Retrofit control approach
[2021] Bi-level coordinated merging of connected and automated vehicles at roundabouts
[2021] Modularity-in-Design of Dynamical Network Systems: Retrofit Control Approach
[2021] 可制御性グラミアンのデータ駆動型感度解析
[2021] Monotonicity Analysis of Day-Ahead Power Scheduling of Two Storage Batteries Based on PV Interval Prediction
[2021] Fuzzy-tuned model predictive control for dynamic eco-driving on hilly roads

科研費（0 件）

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所属学会・役職（0 件）

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AI 要約（直近 5 年の研究成果）

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関連研究室(8 件)

研究成果（96 件）

科研費（0 件）

所属学会・役職（0 件）