2018年度研究業績 (2018年4月から)


  1. M. Wakaiki, M. Ogura, and J. P. Hespanha,
    LQ-optimal sample-data control under stochastic delays: gridding approach for stabilizability and detectability,”
    SIAM Journal on Control and Optimization, vol. 56, no. 4, pp. 2634–2661 (2018)
  2. J. E. Rodriguez Ramirez, Y. Minami, and K. Sugimoto,
    Synthesis of event-triggered dynamic quantizers for networked control systems,”
    Expert Systems With Applications, Vol.109, pp. 188–194 (2018)
  3. Y. Cui, J. Poon, J. Valls Miro, K. Yamazaki, K. Sugimoto, and T. Matsubara
    Environment-adaptive interaction primitives through visual context for human–robot motor skill learning,”
    Autonomous Robots, Vol.??, pp. 1–16 (2018)
  4. Kenji Sugimoto and Imahayashi Wataru,
    “Left-right Polynomial Matrix Factorization for MIMO Pole/Zero Cancellation with Application to FEL,”
    システム制御情報学会論文誌, Vol. 32, No. 1 (2019) to appear
  5. 蓼沼知秀, 小蔵正輝, 杉本謙二,
    計測自動制御学会論文集, Vol. 55, No. 3 (2019) to appear
  6. W. Mei and M. Ogura,
    Kronecker weights for instability analysis of Markov jump linear systems,”
    IET Control Theory & Applications (accepted), 2018.


  1. 小蔵正輝,
    システム/制御/情報, vol. 11, pp. 449–454 (2018)
  2. 小蔵正輝,
    “複雑ネットワークにおける最適資源配置 —Geometric program によるアプローチ—,”
    電子情報通信学会 基礎・境界ソサイエティ IEICE Fundamentals Review, vol. 12, no. 3 (2019)


  1. M. Ogura, J. Tagawa, and N. Masuda,
    Distributed agreement on activity driven networks,”
    2018 American Control Conference, pp. 4147-4152, 2018.6.27-29.
  2. M. Ogura and J. Harada,
    Resource allocation for containing epidemics from temporal network data,”
    23rd International Symposium on Mathematical Theory of Networks and Systems, pp. 537-542, Hong Kong, 2018.7.19.
  3. M. Ogura, J. Wan, and S. Kasahara,
    Model predictive control for energy-efficient operation of data centers with cold aisle containments“,
    6th IFAC Conference on Nonlinear Model Predictive Control, pp. 241-246, Madison, 2018.8.19-22.
  4. J. E. Rodriguez Ramirez, Y. Minami, and K. Sugimoto,
    “Design of Quantizers with Neural Networks: Classification Based Approach”,
    2018 International Symposium on Nonlinear Theory and Its Applications (NOLTA2018), pp. 312-315, Tarragona, 2018.9.2-6.
  5. Y. Ikawa, T. Kobayashi, and T. Matsubara,
    “Biomechanical Energy Harvester with Continuously Variable Transmission: Prototyping and Preliminary Evaluation”,
    2018 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, Auckland, New Zealand, 2018.7.10-12 (7.12).
  6. T. Matsubara, Y. Norinaga, Y. Ozawa, and Y. Cui
    “Policy Transfer from Simulations to Real World by Transfer Component Analysis”,
    14th IEEE International Conference on Automation Science and Engineering (CASE2018), pp. 264–269, Munich, Germany, 2018.8.20-24.
  7. Y. Cui, L. Zhu, M. Fujisaki, H. Kanokogi, and T. Matsubara
    “Factorial Kernel Dynamic Policy Programming for Vinyl Acetate Monomer Plant Model Control”,
    14th IEEE International Conference on Automation Science and Engineering (CASE2018), pp. 304–309, Munich, Germany, 2018.8.20-24.
  8. Y. Lai, J. Poon, G. Paul, H. Han, and T. Matsubara
    “Probabilistic Pose Estimation of Deformable Linear Objects”,
    14th IEEE International Conference on Automation Science and Engineering (CASE2018), pp. 471–476, Munich, Germany, 2018.8.20-24.
  9. X. Han, W. Imahayashi, K. Sugimoto,
    “A Case Study of SISO Feedback Error Learning Control With/without a Strictly Positive Real Condition”,
    SICE Annual Conference 2018, pp. 17–22, Nara, 2018.9.11-14 (2018.9.12).
  10. W. Imahayashi, K. Sugimoto,
    “Feedback Error Learning Control against Temporal Sensing Signal Loss”,
    SICE Annual Conference 2018, pp. 433–436, Nara, 2018.9.11-14 (2018.9.12).
  11. W. Mei, M. Ogura,
    “Instability Analysis of Markov Jump Linear Systems by Spectral Optimization”,
    SICE Annual Conference 2018, pp. 419–422, Nara, 2018.9.11-14 (2018.9.12).
  12. H. Sasaki, Y. Ozawa, T. Matsubara,
    “Variational Learning Approach for Sparse Gaussian Process Policy Search”,
    SICE Annual Conference 2018, pp. 642–645, Nara, 2018.9.11-14 (2018.9.13).
  13. T. Sugino, T. Kobayashi, K. Sugimoto,
    “Continual Learning using Modularity of Structured Reservoir Computing”,
    SICE Annual Conference 2018, pp. 650–653, Nara, 2018.9.11-14 (2018.9.13).
  14. T. Matsubara, Yu. Norinaga, Y. Ozawa, Y. Cui,
    “Transferring Control Policies from Simulations to Real World by Transfer ComponentAnalysis”,
    SICE Annual Conference 2018, pp. 654–657, Nara, 2018.9.11-14 (2018.9.13).
  15. Y. Kwon, K. Motonaka, T. Matsubara, S. Miyoshi,
    “Empirical Verification of Information Theoretic Model Predictive Control”,
    SICE Annual Conference 2018, pp. 658–661, Nara, 2018.9.11-14 (2018.9.13).
  16. T. Aotani, T. Kobayashi, K. Sugimoto,
    “Learning of Correlation in Decentralized Robots with Individual Tasks”,
    SICE Annual Conference 2018, pp. 662–665, Nara, 2018.9.11-14 (2018.9.13).
  17. T. Aotani, T. Kobayashi, K. Sugimoto,
    “Bottom-up Multi-agent Reinforcement Learning for Selective Cooperation”,
    2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC2018), pp. 3580–3585, Miyazaki, 2018.10.7-10 (2018.10.10).
  18. K. Sugimoto, X. Han, and W. Imahayashi,
    “Stability of MIMO Feedback Error Learning Control under a Strictly Positive Real Condition,”
    Preprints, 5th IFAC Conference on Analysis and Control of Chaotic Systems, pp. 150–156,
    Eindhoven, The Netherlands, 2018.10.30-11.01 (2018.11.01).
  19. T. Tadenuma, M. Ogura, and K. Sugimoto,
    Sampled-Data State Observation over Lossy Networks under Round-Robin Scheduling,”
    Preprints, 5th IFAC Conference on Analysis and Control of Chaotic Systems, pp. 197–202,
    Eindhoven, The Netherlands, 2018.10.30-11.01 (2018.11.01).


  1. 杉本謙二, 今林亘,
    第62回システム制御情報学会研究発表講演会,137-5, 京都, 2018.5.16–18 (5.16)
  2. 今林亘, 小林泰介, 杉本謙二,
    第62回システム制御情報学会研究発表講演会,137-6, 京都, 2018.5.16–18 (5.16)
  3. 権裕煥, 本仲君子, 松原崇充, 三好誠司,
    第62回システム制御情報学会研究発表講演会,215-2, 京都, 2018.5.16–18 (5.17)
  4. 青谷拓海, 小林泰介, 杉本謙二,
    ロボティクス・メカトロニクス 講演会 2018,1P1-E17, 福岡, 2018.6.4–5 (6.4)
  5. 杉野峻生, 小林泰介, 杉本謙二,
    ロボティクス・メカトロニクス 講演会 2018,1A1-D13, 福岡, 2018.6.4–5 (6.4)
  6. 佐々木光, 小澤裕斗, 松原崇充,
    ロボティクス・メカトロニクス 講演会 2018,1A1-C16, 福岡, 2018.6.4–5 (6.4)
  7. 金子拓光, 鶴峯義久, 松原崇充,
    ロボティクス・メカトロニクス 講演会 2018,2A2-E14, 福岡, 2018.6.4–5 (6.5)
  8. 井川優太郎, 小林泰介, 松原崇充,
    第36回日本ロボット学会学術講演会, 1C2-02, 愛知, 2018.9.4–7 (9.5)
  9. 佐々木光, 松原崇充,
    第36回日本ロボット学会学術講演会, 1C3-03, 愛知, 2018.9.4–7 (9.5)
  10. 鶴峯義久, 崔允端, 山崎公俊, 松原崇充,
    第36回日本ロボット学会学術講演会, 2E1-03, 愛知, 2018.9.4–7 (9.6)
  11. M. Ogura, W. Mei, K. Sugimoto,
    “Stability analysis of synergistic spreading processes,”
    50th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, 2018.11.1.
  12. 韓心又, 今林亘, 杉本謙二,
    第61回自動制御連合講演会, 10C3, 愛知, 2018.11.17–18 (11.17)
  13. 多川純平, 小蔵正輝, 杉本謙二,
    “Simplicial Activity Drivenネットワークの合意制御”
    第61回自動制御連合講演会,5E6, 愛知, 2018.11.17–18 (11.18)
  14. 原田, 小蔵, 岸田, 杉本,
    日本機械学会第28回設計工学・システム部門講演会, 2018.11.6.
  15. 阿部, 小蔵, 辻, 三浦, 足立,
    “Geometric Programmingによる衛星通信ネットワーク設計法の検討,”
    2018年12月高信頼制御通信研究会, 2018.12.7


  1. 横河電機株式会社奈良先端科学技術大学院大学


  1. 小蔵正輝
    第62回システム制御情報学会研究発表講演会招待講演, 137-1, 京都, 2018.5.16–18 (5.16)
  2. 小蔵正輝
    第6回 数理モデリング研究会, 軽井沢, 2018.7.6–8
  3. M. Ogura
    “Network epidemiology and control theory,”
    University of Hong Kong, 2018 (7.19)
  4. 小蔵正輝,
    “重要人物はだれ?~ つながりを科学する”
    2018年度生駒市出前授業, 生駒, 2018.12.4