学術雑誌(オンライン速報版)

  1. K. Tsuji, S. Azuma, I. Banno, R. Ariizumi, T. Asai, and J. Imura: A Small-data Solution to Data-driven Lyapunov Equations: Data Reduction from O(n^2) to O(n), IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, https://doi.org/10.1587/transfun.2023MAP0010
  2. H. Nakano, R. Ariizumi, T. Asai, and S. Azuma: Automatic Temperature Parameter Tuning for Reinforcement Learning Using Path Integral Policy Improvement, IEEE Transactions on Neural Networks and Learning Systems, (2023) https://doi.org/10.1109/TNNLS.2023.3312857
  3. S. Sugiura, R. Ariizumi, T. Asai and S. Azuma: Non-essentiality of Reservoir’s Fading Memory for Universality of Reservoir Computing, IEEE Transactions on Neural Networks and Learning Systems, (2023) https://doi.org/10.1109/TNNLS.2023.3298013
  4. R. Koike, R. Ariizumi, and F. Matsuno: Simultaneous Optimization of Discrete and Continuous Parameters Defining a Robot Morphology and Controller, IEEE Transactions on Neural Networks and Learning Systems, (2023) https://doi.org/10.1109/TNNLS.2023.3272068

学術雑誌

  1. S. Sugiura, R. Ariizumi, T. Asai, and S. Azuma: Existence of Reservoir with Finite-Dimensional Output for Universal Reservoir Computing, Scientific Reports, vol. 14, 8448 (2024) https://doi.org/10.1038/s41598-024-56742-7
  2. M. Yamakawa, T. Asai, R. Ariizumi, and S. Azuma: Sufficient condition for locally unidentifiable edge weights from any single state trajectory in networked linear systems, SICE Journal of Control, Measurement, and System Integration, vol. 17, issue 1, pp. 80-86 (2024) https://doi.org/10.1080/18824889.2024.2315641
  3. T. Asai, X. Chen, R. Ariizumi, and S. Azuma: The DXHS Algorithm Is Equivalent to a Passive Internal Model for Sinusoidal Signals, SICE Journal of Control, Measurement, and System Integration, vol. 16, issue 1, pp.382-386 (2023) https://doi.org/10.1080/18824889.2023.2281018
  4. T. Iwata, S. Azuma, R. Ariizumi, T. Asai, and J. Imura: Equilibrium Controllability Analysis and Input Design, SICE Journal of Control, Measurement, and System Integration, vol. 16, issue 1 (2023) https://doi.org/10.1080/18824889.2023.2268815
  5. 松高亜樹,東俊一,有泉亮,浅井徹:未来地図を利用した搬送ロボットの制御―グラフを利用した経路生成―,システム制御情報学会誌,vol. 37, no. 2, pp. 55-64 (2024)
  6. 近藤暖浩,有泉亮,浅井徹,東俊一:ポートハミルトン形式によるヘビ型ロボットの関節角経路追従制御に関するロバスト性解析,システム制御情報学会誌,vol. 37, no. 2, pp. 35-44 (2024)
  7. F. Xu, S. Azuma, R. Ariizumi, and T. Asai: Performance Limitation of Group Testing in Network Failure Detection, IEEE Access, vol. 11, pp. 102852-102859 (2023) https://doi.org/10.1109/ACCESS.2023.3315745
  8. I. Banno, S. Azuma, R. Ariizumi, T. Asai, and J. Imura: Data Informativity for Lyapunov Equations, IEEE Access, Vol. 7, pp. 2365-2370 (2023) https://doi.org/10.1109/LCSYS.2023.3286414

国際会議

  1. R. Ariizumi, H. Sago, T. Asai, and S. Azuma: Multi-objective Reinforcement Learning with Path Integral Policy Improvement , SICE Annual Conference, Mie, Sept. 6-9, pp. 1418-1423 (2023)
  2. S. Sugiura, R. Ariizumi, T. Asai, and S. Azuma: Data-driven Estimation of Algebraic Riccati Equation for Inverse Linear Quadratic Regulator Problem, SICE Annual Conference, Mie, Sept. 6-9, pp. 1046-1051 (2023)
  3. M. Yamakawa, T. Asai, R. Ariizumi, and S. Azuma: Local Unidentifiability of Edge Weights for Linear Systems with Graph Laplacian, SICE Annual Conference, Mie, Sept. 6-9, pp. 500-503 (2023)
  4. I. Banno, S. Azuma, R. Ariizumi, T. Asai, and J. Imura: Data-driven Sensitivity Analysis of Controllability Measure for Network Systems, IEEE Conference on Decision and Control (CDC2022), Cancun, Mexico, Dec. 6-9 (2023)

国内会議

  1. 佐郷隼,有泉亮,浅井徹,東俊一:経路積分に基づく直接方策改善法を用いた多目的強化学習,第67回システム制御情報学会研究発表講演会,京都,5月17日~19日,335-4 (2023)
  2. 井村陸人,東俊一,坂野幾海,有泉亮,浅井徹:フードデリバリーサービスの動的モデル化と配達員の報酬最適化,第67回システム制御情報学会研究発表講演会,京都,5月17日~19日,334-3 (2023)