Preprint

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    1. Kaito Ito and Taira Tsuchiya,
      Online control of linear systems with unbounded and degenerate noise.
      URL: arXiv

Journal

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    1. Kaito Ito and Kenji Kashima,
      Maximum entropy density control of discrete-time linear systems with quadratic cost,
      To appear in IEEE Transactions on Automatic Control, Vol. xx, Issue x, pp. xx-xx, 2025.
      URL: arXiv

    2. Kaito Ito and Kenji Kashima,
      Maximum entropy optimal density control of discrete-time linear systems and Schrödinger bridges,
      IEEE Transactions on Automatic Control, Vol. 69, Issue 3, pp. 1536-1551, 2024.
      URL: DOI, arXiv

    3. Kaito Ito and Kenji Kashima,
      Entropic model predictive optimal transport for underactuated linear systems,
      IEEE Control Systems Letters, early access.
      DOI: 10.1109/LCSYS.2023.3288474

    4. Kaito Ito and Kenji Kashima,
      Entropic model predictive optimal transport over dynamical systems,
      Automatica, Vol. 152, Article 110980, 2023.
      DOI: 10.1016/j.automatica.2023.110980,  [arXiv]
      (Automatica Editor's Choice)

    5. Kaito Ito and Kenji Kashima,
      Kullback-Leibler control for discrete-time nonlinear systems on continuous spaces,
      SICE Journal of Control, Measurement, and System Integration, Vol. 15, Issue 2, pp. 119-129, 2022.
      DOI: 10.1080/18824889.2022.2095827,  [arXiv]

    6. Genki Sugiura, Kaito Ito, and Kenji Kashima,
      Bayesian differential privacy for linear dynamical systems,
      IEEE Control Systems Letters, Vol. 6, pp. 896-901, 2021.
      DOI: 10.1109/LCSYS.2021.3087096,  [arXiv]

    7. Kaito Ito, Yu Kawano, and Kenji Kashima,
      Privacy protection with heavy-tailed noise for linear dynamical systems,
      Automatica, Vol. 131, Article 109732, 2021.
      DOI: 10.1016/j.automatica.2021.109732

    8. Kaito Ito, Kenji Kashima, Masakazu Kato, and Yoshito Ohta,
      Stochastic model-based assessment of power systems subject to extreme wind power fluctuation,
      SICE Journal of Control, Measurement, and System Integration, Vol. 14, Issue 1, pp. 67-77, 2021.
      DOI: 10.1080/18824889.2021.1906017

    9. Kaito Ito, Takuya Ikeda, and Kenji Kashima,
      Sparse optimal stochastic control,
      Automatica, Vol. 125, Article 109438, 2021.
      DOI: 10.1016/j.automatica.2020.109438,  [arXiv]

Refereed International Conferences

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    1. Kaito Ito and Kenji Kashima,
      Risk-sensitive control as inference with Rényi divergence,
      To appear in Advances in Neural Information Processing Systems, Vancouver, Canada, 2024.
      URL: arXiv

    2. Kaito Ito, Haruhiro Kume, and Hideaki Ishii,
      Ensemble control of a large population of stochastic oscillators: Periodic-feedback control approach,
      62nd IEEE Conference on Decision and Control, Marina Bay Sands, Singapore, Dec. 15, 2023.
      DOI: 10.1109/CDC49753.2023.10383580

    3. Kaito Ito and Kenji Kashima,
      Entropic model predictive optimal transport for underactuated linear systems,
      62nd IEEE Conference on Decision and Control, Marina Bay Sands, Singapore, Dec. 15, 2023.
      URL: arXiv

    4. Kaito Ito and Kenji Kashima,
      Maximum entropy density control of discrete-time linear systems with quadratic state cost,
      22nd IFAC World Congress, Yokohama, Japan, July 11, 2023.

    5. Kaito Ito and Kenji Kashima,
      Maximum entropy optimal density control of discrete-time linear systems,
      25th International Symposium on Mathematical Theory of Networks and Systems, Bayreuth, Germany, Sep. 12-16, 2022.

    6. Kaito Ito and Kenji Kashima,
      Sinkhorn MPC: Model predictive optimal transport over dynamical systems,
      2022 American Control Conference, Atlanta, USA, June 1, 2022.
      DOI: 10.23919/ACC53348.2022.9867406,  [arXiv]

    7. Genki Sugiura, Kaito Ito, and Kenji Kashima,
      Bayesian differential privacy for linear dynamical systems,
      60th IEEE Conference on Decision and Control, Online, Dec. 14, 2021.

    8. Kaito Ito, Yu Kawano, and Kenji Kashima,
      Differentially private mechanisms for linear dynamical systems with heavy-tailed noise,
      24th International Symposium on Mathematical Theory of Networks and Systems, 2021, cancelled due to COVID-19.

    9. Kaito Ito, Kenji Kashima, and Yoshito Ohta,
      Tightening theoretical error bound for multi-variable stochastic linearization via scaling,
      SICE Annual Conference, Online, Sep. 24, 2020.

    10. Kaito Ito, Takuya Ikeda, and Kenji Kashima,
      Continuity of the value function for stochastic sparse optimal control,
      21st IFAC World Congress, Online, July 11-17, 2020.
      DOI: 10.1016/j.ifacol.2020.12.537

    11. Kaito Ito and Kenji Kashima,
      Theoretical error bounds for stochastic linearization of feedback systems,
      57th IEEE Conference on Decision and Control, Miami, Dec. 17, 2018.
      DOI: 10.1109/CDC.2018.8619319