News

学術論文

  1. Tomoki Nakamura, Naoki Hayashi, Masahiro Inuiguchi,
    Consensus-Based Distributed Exp3 Policy Over Directed Time-Varying Networks,
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, (accepted for publication) .
  2. Daichi Ishikawa, Naoki Hayashi, Shigemasa Takai,
    Distributed Event-Triggered Stochastic Gradient-Tracking for Nonconvex Optimization,
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, (accepted for publication).
  3. Keishin Tada, Naoki Hayashi, Shigemasa Takai,
    Distributed Online Primal-Dual Subgradient Method on Unbalanced Directed Networks,
    Advanced Robotics, DOI: 10.1080/01691864.2023.2285806.
  4. Koki Okamoto, Naoki Hayashi, Shigemasa Takai,
    Distributed Online Adaptive Gradient Descent With Event-Triggered Communication,
    IEEE Transactions on Control of Network Systems, DOI: 10.1109/TCNS.2023.3294432 (early access).
  5. Hiroaki Sakuma, Naoki Hayashi, Shigemasa Takai,
    Distributed Primal-Dual Method on Unbalanced Digraphs With Row Stochasticity,
    International Journal of Control, DOI:10.1080/00207179.2023.2206501 (early access).
  6. 佐藤 佳奈美, 川口 夏樹，林 直樹, 原 尚之, 佐藤 孝雄,
    事象駆動型分散最適化による洋上風車ブレードピッチ角制御,
    電気学会論文誌 C (電子・情報・システム部門誌)，Vol. 144, No.3, pp. 179-180, 2024年3月.
  7. Keishin Tada, Naoki Hayashi, Shigemasa Takai,
    Constrained Distributed Online Convex Optimization with Bandit Feedback for Unbalanced Digraph,
    IET Control Theory & Applications, Vol. 18, No. 2, pp. 184-200, January, 2024.
  8. Naoki Hayashi,
    Distributed Subgradient Method in Open Multiagent Systems,
    IEEE Transactions on Automatic Control, Vol. 68, No. 10, pp. 6192-6199, October, 2023.
  9. Junya Yoshida, Naoki Hayashi, Shigemasa Takai,
    Quantized Gradient Descent Algorithm for Distributed Nonconvex Optimization,
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. E106-A, No. 10, pp. 1297-1304, October, 2023.
  10. Keito Inoue, Naoki Hayashi, Shigemasa Takai,
    Distributed Online Optimization With Dynamic Coupling Constraints Under Time-Varying Communication Delays,
    IEEE Access, vol. 11, pp. 87256-87269, August, 2023.
  11. Tomoki Nakamura, Naoki Hayashi, Masahiro Inuiguchi,
    Cooperative Learning for Adversarial Multi-Armed Bandit on Open Multi-Agent Systems,
    IEEE Control Systems Letters, vol. 7, pp. 1712-1717, May, 2023.
  12. Naoki Hayashi, Kazunori Sakurama,
    Communication-Aware Distributed Rebalancing for Cooperative Car-Sharing Service,
    IET Control Theory & Applications, vol. 17, no. 7, pp. 850-867, April, 2023.
  13. Naoki Hayashi, Masaaki Nagahara,
    Distributed Sparse Optimization for Source Localization over Diffusion Fields with Cooperative Spatiotemporal Sensing,
    Advanced Robotics, vol. 37, no. 3, pp. 183-197, February, 2023.
  14. Yoshihiro Kameoka, Naoki Hayashi, Shigemasa Takai,
    Cooperative Tracking in Camera Sensor Networks with Sliding Mode Control,
    Advanced Robotics, vol. 37, no. 1-2, pp. 130-140, January, 2023.
  15. Takashi Adachi, Naoki Hayashi, Shigemasa Takai,
    Cooperative Target Tracking by Multiagent Camera Sensor Networks via Gaussian Process,
    IEEE Access, vol. 10, pp. 71717-71727, August, 2022.
  16. Makoto Yamashita, Naoki Hayashi, Takeshi Hatanaka, Shigemasa Takai,
    Logarithmic Regret for Distributed Online Subgradient Method over Unbalanced Directed Networks,
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E104-A, no. 8, pp. 1019-1026, August, 2021.
  17. Hiroaki Sakuma, Naoki Hayashi, Shigemasa Takai,
    Distributed Primal-Dual Perturbation Algorithm over Unbalanced Directed Networks,
    IEEE Access, vol. 9, pp. 75324-75335, May, 2021.
  18. Takashi Adachi, Naoki Hayashi, Shigemasa Takai,
    Distributed Gradient Descent Method with Edge-Based Event-Driven Communication for Non-Convex Optimization,
    IET Control Theory & Applications, vol. 15, no. 12, pp. 1588-1598, May, 2021.
  19. Yuichi Kajiyama, Naoki Hayashi, Shigemasa Takai,
    Linear Convergence of Consensus-Based Quantized Optimization for Smooth and Strongly Convex Cost Functions,
    IEEE Transactions on Automatic Control, vol. 66, no. 3, pp. 1254-1261, March, 2021.
  20. Makoto Yamashita, Naoki Hayashi, Shigemasa Takai,
    Dynamic Regret Analysis for Event-Triggered Distributed Online Optimization Algorithm,
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E104-A, no. 2, pp. 430-437, February, 2021.
  21. 橋本 航, 林 直樹, 原 尚之, 高井 重昌,
    浮体式洋上ウィンドファームにおける総発電量の調整を考慮した分散ブレードピッチ角制御,
    計測自動制御学会論文集, vol. 56, no. 8, pp. 395-402, August, 2020.
  22. Naoki Hayashi, Yuichi Kajiyama, Shigemasa Takai,
    Consensus-Based Quantized Algorithm for Convex Optimization with Smooth Cost Functions,
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E103-A, no. 2, pp. 435-442, February, 2020.
  23. Naoki Hayashi, Kazuyuki Ishikawa, Shigemasa Takai,
    Distributed Subgradient Method for Constrained Convex Optimization with Quantized and Event-Triggered Communication,
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E103-A, no. 2, pp. 428-434, February, 2020.
  24. Naoki Hayashi, Tomohiro Sugiura, Yuichi Kajiyama, Shigemasa Takai,
    Distributed Event-Triggered Algorithm for Unconstrained Convex Optimization over Weight-Balanced Directed Networks,
    IET Control Theory & Applications, vol. 14, no. 2, pp. 253-261, February, 2020.
  25. 神村 素輝, 林 直樹, 高井 重昌,
    合意制御に基づく協調型トンプソン抽出の検討,
    システム制御情報学会論文誌, vol. 33, no. 2, pp. 57-65, February, 2020.
  26. Yoshifumi Kusunoki, Naoki Hayashi, Takeshi Hatanaka, Keiji Tatsumi,
    Adaptive Stepsize Rule for Consensus Optimization by Supervisory Control Architecture,
    システム制御情報学会論文誌, vol. 32, no.9, pp. 338-348, September, 2019．
  27. Yuichi Kajiyama, Naoki Hayashi, Shigemasa Takai,
    Distributed Constrained Convex Optimization with Accumulated Subgradient Information over Undirected Switching Networks,
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences,
    vol. E102-A, no. 2, pp. 343-350, February, 2019.
  28. Naoki Hayashi and Masaaki Nagahara,
    Distributed Proximal Minimization Algorithm for Constrained Convex Optimization over Strongly Connected Networks,
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences,
    vol. E102-A, no. 2, pp. 351-358, February, 2019.
  29. Yuichi Kajiyama, Naoki Hayashi, Shigemasa Takai,
    Distributed Subgradient Method with Edge-Based Event-Triggered Communication,
    IEEE Transactions on Automatic Control,
    vol. 63, no. 7, pp. 2248-2255, July, 2018.
  30. Kazuyuki Ishikawa, Naoki Hayashi, Shigemasa Takai,
    Consensus-Based Distributed Particle Swarm Optimization with Event-Triggered Communication,
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences,
    vol. E101-A, no. 2, pp. 338-344, February, 2018.
  31. 梶山 祐一, 林 直樹, 高井 重昌,
    合意制御に基づく分散事象駆動型劣勾配アルゴリズムによる制約なし凸最適化,
    システム制御情報学会論文誌, vol. 61, no. 6, pp. 253-262, 2017年6月．
    （2019年度 システム制御情報学会 学会賞 論文賞）
  32. Naoki Hayashi, Kohei Segawa, Shigemasa Takai,
    2D Voronoi Coverage Control with Gaussian Density Functions by Line Integration,
    SICE Journal of Control, Measurement, System Integration,
    vol. 10, no. 2, pp. 110-116, March, 2017.
  33. Naoki Hayashi and Shigemasa Takai,
    Distributed Source Identification by Two-Hop Consensus Dynamics with Uniform Time-Varying Communication Time-Delays,
    SICE Journal of Control, Measurement, System Integration,
    vol. 10, no. 2, pp. 70-76, March, 2017.
  34. Naoki Hayashi, Masaaki Nagahara, Yutaka Yamamoto,
    Robust AC Voltage Regulation of Microgrids in Islanded Mode with Sinusoidal Internal Model,
    SICE Journal of Control, Measurement, System Integration,
    vol. 10, no. 2, pp. 62-69, March, 2017.
  35. Shiori Miyake, Naoki Hayashi, Shigemasa Takai,
    Discrete-Time Average Consensus with Multi-Hop Communication,
    SICE Journal of Control, Measurement, System Integration,
    vol. 9, no. 5, pp. 187-191, September, 2016.
  36. Shinji Iwase, Naoki Hayashi, Shigemasa Takai,
    A Gradient-Based Approach for Discrete-Time Average Consensus with Self-Triggered Control,
    SICE Journal of Control, Measurement, System Integration,
    vol. 9, no. 3, pp. 122-127, May, 2016.
  37. 瀬川 昂平, 浜田 健太, 林 直樹, 高井 重昌,
    2レベル階層型PTZカメラセンサネットワークによるイベントトリガ型協調追跡,
    計測自動制御学会論文集, vol. 52, no. 1, pp. 19-27, 2016年1月.
  38. 野村 健二, 林 直樹, 高井 重昌,
    収束速度の改善を考慮した2-ホップ平均合意ダイナミクスの検討,
    電子情報通信学会論文誌分冊 A, vol. J98-A, no.10, pp. 587-594, 2015年10月.
    （平成28年度 電子情報通信学会 論文賞（第73回））
  39. Naoki Hayashi and Shigemasa Takai,
    GTS-based Communication Task Scheduling for Quantized Output Consensus over IEEE 802.15.4 Wireless Networks,
    Automatica, vol. 55, pp. 6-11, May, 2015.
  40. Kenta Hamada, Naoki Hayashi, Shigemasa Takai,
    Event-Triggered and Self-Triggered Control for Discrete-Time Average Consensus Problems,
    SICE Journal of Control, Measurement, System Integration,
    vol. 7, no. 5, pp. 297-303, September, 2014.
  41. 村西 悠, 林 直樹, 高井 重昌,
    平均コンセンサスアルゴリズムによる分散円あてはめ,
    システム制御情報学会論文誌, vol. 27, no. 1, pp. 14-19, 2014年1月.
  42. Naoki Hayashi, Toshimitsu Ushio, Takafumi Kanazawa,
    Potential Game Theoretic Approach to Power-aware Mobile Sensor Coverage Problem,
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences,
    vol. E94-A, no. 3, pp. 929-936, March, 2011.
  43. Naoki Hayashi, Toshimitsu Ushio, Takafumi Kanazawa,
    Adaptive Arbitration of Fair QoS Based Resource Allocation in Multi-Tier Computing Systems,
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences,
    vol. E93-A, no. 9, pp. 1678-1683, September, 2010.
  44. 赤井 裕一, 潮 俊光, 林 直樹,
    マルチティアサーバシステムにおけるQoS公平性のもとでの最適リソース配分法,
    システム制御情報学会論文誌, vol. 23, no. 3, pp. 39-45, 2010年3月.
  45. 和田 仁志, 潮 俊光, 林 直樹,
    計算遅延とオーバーフロー特性を考慮した1次元ディジタル制御系における分岐現象,
    電子情報通信学会論文誌 A, vol. J92-A, no. 11, pp. 925-928, 2009年11月.
  46. Naoki Hayashi and Toshimitsu Ushio,
    Performance Consensus Problem of Multi-agent Systems with Multiple State Variables,
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences,
    vol. E91-A, no. 9, pp. 2403-2410, September, 2008.
  47. Naoki Hayashi, Toshimitsu Ushio, Fumiko Harada, Atsuko Ohno,
    Consensus Problem of Multi-agent Systems with Non-linear Performance Functions,
    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences,
    vol. E90-A, no. 10, pp. 2261-2264, October, 2007.

国際会議（下線は発表者）

  1. Gakuto Ogawa, Naoki Hayashi, Kazunori Sakurama, Masahiro Inuiguchi,
    Distributed Event-Triggered Dual Decomposition Method for Cooperative One-Way Car-Sharing Control,
    Proceedings of the 62nd IEEE Conference on Decision and Control (CDC2023),
    pp. 3441-3446, Singapore, December, 2023.
  2. Daisuke Maruyama, Masahiro Inuiguchi, Naoki Hayashi, Hirosato Seki, Hiromitsu Kurihara, Tomoya Ueura,
    Utilization of Data Envelopment Analysis for Grid Traffic Accident Data,
    Proceedings of the International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making 2023 (IUKM2023),
    pp. 73-84, Kanazawa, Japan, November, 2023.
  3. Naoki Hayashi, Masaaki Nagahara,
    Cooperative Source Localization by Distributed Sparse Optimization,
    Proceedings of the 22nd IFAC World Congress (IFAC2023),
    pp. 1301-1303, Yokohama, Japan, July, 2023.
  4. Keishin Tada, Naoki Hayashi, Shigemasa Takai,
    Distributed Inequality Constrained Online Optimization for Unbalanced Digraphs using Row Stochastic Property,
    Proceedings of the 61st IEEE Conference on Decision and Control (CDC2022),
    pp. 2283-2288, Cancun, Mexico, December, 2022.
  5. Shunya Yamashita, Takeshi Hatanaka, Yasuaki Wasa, Naoki Hayashi, Kenji Hirata, Kenko Uchida,
    Passivity-Based Analysis and Nudging Design for Dynamic Social Model with Bounded Rationality,
    Proceedings of the 3rd IFAC Workshop on Cyber-Physical & Human Systems, Beijing, China, December, 2020.
  6. Yoshifumi Kusunoki, Naoki Hayashi, Takeshi Hatanaka, Keiji Tatsumi,
    Refinement of Convergence Analysis for Consensus Optimization Algorithm with Adaptive Stepsize Rule,
    Proceedings of the SICE Annual Conference (SICE2019),
    pp. 1293-1296, Hiroshima, Japan, September, 2019.
  7. Naoki Hayashi, Tomohiro Sugiura, Yuichi Kajiyama, Shigemasa Takai,
    Event-Triggered Consensus-Based Optimization Algorithm for Smooth and Strongly Convex Cost Functions,
    Proceedings of the 57th IEEE Conference on Decision and Control (CDC2018),
    pp. 2120-2125, Miami, USA, December, 2018.
  8. Kenta Suzuki, Naoki Hayashi, Shigemasa Takai,
    Uniform Ultimate Stability for Time-Varying Nonlinear Systems with Event-Triggered Control,
    Proceedings of the 2018 IEEE International Conference on Systems, Man, Cybernetics (SMC2018),
    pp. 2003-2008, Miyazaki, Japan, October, 2018.
  9. Makoto Yamashita, Naoki Hayashi, Shigemasa Takai,
    Regret Analysis of Distributed Online Subgradient Method with Event-Triggered Communication,
    Proceedings of the SICE Annual Conference (SICE2018),
    pp. 1296-1300, Nara, Japan, September, 2018.
  10. Naoki Hayashi and Masaaki Nagahara,
    Consensus-Based Distributed Event-Triggered Sparse Modeling,
    Proceedings of the SICE Annual Conference (SICE2018),
    pp. 1801-1805, Nara, Japan, September, 2018.
  11. Tatsuya Ito, Kohei Segawa, Naoki Hayashi, Shigemasa Takai,
    Cooperative Voronoi Tracking by Multiple Quadrotors with Onborad PTZ Cameras,
    Proceedings of the SICE Annual Conference (SICE2018),
    pp. 331-335, Nara, Japan, September, 2018.
  12. Yuichi Kajiyama, Naoki Hayashi, Shigemasa Takai,
    Distributed Multi-Step Subgradient Algorithm for Constrained Convex Optimization with Undirected Time-Varying Communications,
    Proceedings of the 56th IEEE Conference on Decision and Control (CDC2017),
    pp. 4650-4655, Melbourne, Australia, December, 2017.
  13. Naoki Hayashi and Masaaki Nagahara,
    Distributed Proximal Gradient Algorithms for Sparse Modeling over Networks,
    Proceedings of the 2nd International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM2017),
    pp. 305-306, Kyoto, Japan, October, 2017.
  14. Yuichi Kajiyama, Naoki Hayashi, Shigemasa Takai,
    Distributed Event-Triggered Subgradient Method for Convex Optimization with a Common Constraint Set,
    Proceedings of the 20th IFAC World Congress (IFAC2017),
    pp. 15884-15889, Toulouse, France, July, 2017.
  15. Hayato Fujimura, Naoki Hayashi, Shigemasa Takai,
    Linear Convergence of Distributed Periodically-Triggered ADMM for Unconstrained Optimization,
    Proceedings of the SICE Annual Conference 2016 (SICE2016),
    pp. 1735-1736, Tsukuba, Japan, September, 2016.
  16. Kohei Segawa, Kenta Hamada, Naoki Hayashi, Shigemasa Takai,
    Cooperative Target Tracking by 2-level Hierarchical PTZ Camera Sensor Networks,
    Proceedings of the 54th IEEE Conference on Decision and Control (CDC2015),
    pp. 2975-2980, Osaka, Japan, December, 2015.
  17. Koki Abe, Naoki Hayashi, Shigemasa Takai,
    Cooperative Voronoi Coverage with Velocity Feedback of Centroids,
    Proceedings of the 1st International Symposium on Swarm Behavior and Bio-Inspired Robotics (SWARM2015),
    pp. 372-374, Kyoto, Japan, October, 2015.
  18. Naoki Hayashi, Yu Muranishi, Shigemasa Takai,
    Distributed Event-triggered Control for Voronoi Coverage,
    Proceedings of the 1st IEEE International Conference on Event-Based Control, Communication, Signal Processing (EBCCSP2015 Work-in-Progress Session),
    Krakow, Poland, June, 2015.
  19. Yu Muranishi, Naoki Hayashi, Shigemasa Takai,
    Distributed Estimation of 1-D Convection-Diffusion Phenomena by Discrete-Time Event-Triggered Consensus Dynamics,
    Proceedings of the 53rd IEEE Conference on Decision and Control (CDC2014),
    pp. 1995-2000, Los Angeles, USA, December, 2014.
  20. Kenji Nomura, Naoki Hayashi, Shigemasa Takai,
    Distributed Event-Triggered Control for Consensus Problems with Non-linear Output Functions,
    Proceedings of the ISCIE/ASME 2014 International Symposium on Flexible Automation (ISFA2014),
    ISFA2014-99S, Hyogo, Japan, July, 2014.
  21. Naoki Hayashi and Shigemasa Takai,
    Consensus-based Distribution Estimation of 1-D Diffusion Phenomena,
    Proceedings of the 2014 American Control Conference (ACC2014),
    pp. 2569-2574, Portland, USA, June, 2014.
  22. Naoki Hayashi and Shigemasa Takai,
    A GTS Scheduling for Consensus Problems Over IEEE 802.15.4 Wireless Networks,
    Proceedings of the 12th European Control Conference (ECC2013),
    pp. 1764-1769, Zurich, Switzerland, July, 2013.
  23. Masaaki Nagahara, Yutaka Yamamoto, Seiya Miyazaki, Takahiro Kudoh, Naoki Hayashi,
    H-infinity Control of Microgrids Involving Gas Turbine Engines and Batteries,
    Proceedings of the 51st IEEE Conference on Decision and Control (CDC2012),
    pp. 4241-4246, Maui, USA, December, 2012.
  24. Saori Teraoka, Toshimitsu Ushio, Takafumi Kanazawa, Naoki Hayashi,
    Application of Potential Games to Voronoi Coverage Problems with Vehicle-free Areas,
    Proceedings of the 17th IEEE Real-Time and Embedded Technology and Applications Symposium Work-in-Progress,
    pp. 53-56, Pittsburgh, USA, April, 2011.
  25. Saori Teraoka, Toshimitsu Ushio, Takafumi Kanazawa, Naoki Hayashi,
    Potential Games Based Coverage Control with Voronoi Partition,
    Proceedings of the 2010 International Symposium on Nonlinear Theory and its Applications (NOLTA2010),
    pp. 229-232, Krakow, Poland, September, 2010.
  26. Naoki Hayashi, Toshimitsu Ushio and Takafumi Kanazawa,
    Application of Potential Games to Power-aware Mobile Sensor Coverage Control,
    RTAS2010 Work-in-Progress Session (16th IEEE Real-Time and Embedded Technology and Applications Symposium), pp. 13-16, Stockholm, Sweden, April, 2010.
  27. Naoki Hayashi, Toshimitsu Ushio and Takafumi Kanazawa,
    Adaptive Fair Resource Management with an Arbiter for Multi-tier Computing Systems,
    14th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA2009),
    Reference Number: 000701, Palma de Mallorca, Spain, September, 2009.
  28. Naoki Hayashi, Toshimitsu Ushio and Takafumi Kanazawa,
    Poster Abstract: Arbitration of Adaptive Resource Allocation for Fair QoS Control in Multi-tier Computing Systems,
    RTAS2009 Poster Session (15th IEEE Real-Time and Embedded Technology and Applications Symposium), San Francisco, USA, April, 2009.
  29. Naoki Hayashi and Toshimitsu Ushio,
    Application of A Consensus Problem to Fair Multi-resource Allocation in Real-time Systems,
    Proceedings of the 47th IEEE Conference on Decision and Control (CDC2008),
    pp. 2450-2455, Cancun, Mexico, December, 2008.
  30. Naoki Hayashi and Toshimitsu Ushio,
    Performance Consensus Problem of Multi-agent Systems with Multiple State Variables,
    2007 International Symposium on Nonlinear Theory and its Applications (NOLTA2007),
    pp. 409-412, Vancouver, Canada, September, 2007.
  31. Naoki Hayashi, Toshimitsu Ushio, Fumiko Harada and Atsuko Ohno,
    Consensus Problem of Multi-agent Systems with Non-linear Performance Functions,
    Work-in-Progress Session in the 2006 International Symposium on Nonlinear Theory and its Applications (NOLTA2006),
    pp. 979-982, Bologna, Italy, September, 2006.

招待講演

  1. 林 直樹,
    ビッグデータ時代におけるネットワーク化システムの制御と最適化,
    第65回システム制御情報学会研究発表講演会, pp. 563-566, オンライン, 2021年5月.
  2. 林 直樹,
    協調制御に基づく分散最適化の理論と応用,
    第31回 RAMP数理最適化シンポジウム, 第31回 RAMP数理最適化シンポジウム論文集, pp. 105-116, 慶應義塾大学 矢上キャンパス, 2019年11月.
  3. Naoki Hayashi,
    Distributed optimization over multi-agent networks,
    Special Lecture at Osaka Prefecture University,
    Osaka, Japan, January, 2019.
  4. 林 直樹,
    代数的グラフ理論に基づくマルチエージェントシステムの制御と分散最適化,
    東北大学 大学院情報科学研究科 研究科重点プロジェクト「数学と諸分野の協働推進による学際的・総合的な新領域研究の開拓」第11回講演会 , 東北大学 大学院情報科学研究科, 2017年3月.
  5. 林 直樹,
    グラフ理論,
    SICEセミナー「マルチエージェントシステムの制御：IoT時代の制御理論」, 北陸先端科学技術大学院大学 東京サテライト, 2016年9月.
  6. 林 直樹,
    マルチエージェントシステムによる分散協調制御,
    電子情報通信学会 高信頼制御通信研究会, 関西大学 うめきたラボラトリ, 2016年1月.
  7. 林 直樹,
    物理システムと情報システムをつなぐ協調設計,
    計測自動制御学会関西支部 物理と情報をつなぐ次世代システム制御研究会, 大阪市立大学 文化交流センターホール, 2013年11月.

ワークショップ・チュートリアル講演等（下線は発表者）

  1. 林 直樹,
    ネットワーク上の分散最適化,
    研究会「線形代数的グラフ理論とその応用」,
    広島大学 東広島キャンパス, 広島県東広島市, 2023月9月.
  2. Naoki Hayashi,
    Distributed Optimization in Cooperative Control of Wind Farms,
    Workshop 2: Control and Optimization for Advanced Wind Energy Systems, the SICE Annual Conference 2022 (SICE2022),
    Kumamoto, Japan, September, 2022.
  3. 林 直樹,
    マルチエージェントシステムによる分散オンライン最適化,
    モビリティ基盤数理 前期第2回研究会, 京都大学 吉田キャンパス, 2022年6月.
  4. 林 直樹,
    事象駆動型通信によるマルチエージェントシステムの分散最適化,
    第9回 制御部門マルチシンポジウム, オンライン開催, 2022年3月.
  5. 林 直樹,
    マルチエージェントネットワークによる分散最適化,
    大阪大学 数理・データ科学セミナー 数理モデルセミナーシリーズ 第28回, オンライン開催, 2021年3月.
  6. 林 直樹,
    協調制御に基づく分散最適化の理論と応用,
    モビリティ基盤数理の研究 合同課題検討会11.23, 京都府京都市, 2019年11月.
  7. Naoki Hayashi,
    Distributed optimization over multi-agent networks,
    Workshop I: New Trends in Networked Control, the SICE Annual Conference 2018 (SICE2018),
    Nara, Japan, September, 2018.
  8. 林 直樹,
    合意制御に基づく分散凸最適化,
    電子情報通信学会 2017年ソサイエティ大会, AT-2-4, 東京都世田谷区, 2017年9月.
  9. 林 直樹,
    スペクトラルグラフ理論に基づく協調制御,
    スペクトラルグラフ理論および周辺領域 第5回研究集会, 兵庫県神戸市, 2016年11月.
  10. 林 直樹,
    マルチエージェントシステムの制御 --- IoT/CPS時代の制御理論 線形代数とグラフ理論,
    第3回 制御部門マルチシンポジウム, 愛知県名古屋市, 2016年3月.
  11. 林 直樹, 桜間 一徳,
    マルチエージェントシステムの制御（２）代数的グラフ理論,
    第58回 自動制御連合講演会, 1B2-3, 兵庫県神戸市, 2015年11月.
  12. 林 直樹, 桜間 一徳,
    マルチエージェントシステムの制御（２）代数的グラフ理論,
    電子情報通信学会 2015年ソサイエティ大会, AT-2-2, 宮城県仙台市, 2015年9月.
  13. 林 直樹,
    分散協調制御：代数的グラフ理論からのアプローチ,
    電子情報通信学会 2015年総合大会, AT-3-2, 滋賀県草津市, 2015年3月.

解説記事等

  1. 林 直樹,
    協調カーシェアリングサービスにおける分散リバランシング制御,
    システム/制御/情報, vol. 67, no. 10, pp. 414-419, 2023年10月.
  2. 林 直樹,
    DISROPTによる分散最適化アルゴリズムの実装,
    計測と制御, vol. 62, no. 9, pp. 527-530, 2023年9月.
  3. 林 直樹,
    事象駆動型合意制御に基づく分散最適化,
    計測と制御, vol. 60, no. 1, pp. 47-52, 2021年1月.
  4. 林 直樹, 原 尚之,
    ウィンドファームの分散協調制御,
    IEICE Fundamentals Review, vol. 14, no. 3, pp. 170-180, 2021年1月.
  5. 林 直樹,
    マルチエージェントネットワーク上の分散凸最適化,
    システム/制御/情報, vol. 63, no. 11, pp. 467-473, 2019年11月．
  6. 林 直樹, 永原 正章,
    超スマート社会を支える分散スパースモデリング --- マルチエージェントネットワーク上のビッグデータ解析,
    IEICE Fundamentals Review, vol. 13, no. 2, pp. 95-107, 2019年10月．
  7. 林 直樹, 高井 重昌,
    サイバーフィジカルシステムの研究動向と展望,
    計測と制御, vol. 53, no. 12, pp. 1076-1079, 2014年12月.
  8. 林 直樹, 永原 正章,
    マルチエージェントシステムの制御 --- II 代数的グラフ理論,
    システム/制御/情報, vol. 57, no.7, pp.283-292, 2013年7月.

著書

  1. Advanced Mathematcal Science for Mobility Society,
    Chapter 8, K. Sakurama, K. Kashima, T. Ikeda, N. Hayashi, K. Hoshino, M. Ogura, and C. Zhao, System-Control-Based Approach to Car-Sharing Systems, Springer, 2024.
  2. 東 俊一, 永原 正章, 石井 秀明, 林 直樹, 桜間 一徳, 畑中 健志,
    マルチエージェントシステムの制御
    コロナ社 (2015)
    （2016年度 計測自動制御学会 学会賞(著述賞)）

特許等

    Takahiro Kudoh, Tatsuto Kinjo, Seiya Miyazaki, Yutaka Yamamoto, Masaaki Nagahara, and Naoki Hayashi,
    Method for designing power controller, power controller, and power control device,
    United States Patent Number: US9407162B2, 2016.

 

 【国内会議発表】

 【その他】