Achievements

2021.06.10

Other publications (in Japanese)

International Journal Articles

Under review

  • Yota Hashizume, Koshi Oishi, Kenji Kashima,
    “Tsallis entropy regularization for linearly solvable MDP and linear quadratic regulator,” Preprint
  • Kaito Ito, Kenji Kashima,
    “Maximum Entropy Density Control of Discrete-Time Linear Systems with Quadratic Cost,” Preprint
  • Ryuta Moriyasu, Masafumi Kusunoki, Kenji Kashima,
    “Learning Exactly Linearizable Deep Dynamics Models,” Preprint
  • Tomoki Nakao, Kunwoo Lee, Kenji Kashima,
    “Maximum Entropy Model Predictive Control: LQR Analysis and Numerical Study on Guaranteed Stability”
  • Takuya Ikeda, Kenji Kashima, Jun-ichi Imura,
    “Optimal Sparse Network Topology for Networked Control Systems with Application to Pre-disease Gene Network Treatment”
  • Ryuta Moriyasu, Sho Kawaguchi, Kenji Kashima,
    “Sampled-Data Primal-Dual Gradient Dynamics in Model Predictive Control,” Preprint

2024

  • Kohei Morimoto, Kenji Kashima,
    “Minimum energy density steering of linear systems with Gromov-Wasserstein terminal cost,”
    • IEEE Control Systems Letters, to appear (Preprint)
  • Takuya Ikeda, Tomofumi Ohtsuka, Kenji Kashima,
    “Matrix Pontryagin principle approach to controllability metrics maximization under sparsity constraints”
    • Automatica, Vol. 164, 111655, 2024 (April 3, 2024) (Preprint)
  • Kaito Ito, Kenji Kashima,
    “Maximum entropy optimal density control of discrete-time linear systems and Schrödinger bridges,”
    • IEEE Transactions on Automatic Control, Vol. 69, Issue 3, 1536/1551, 2024 (August 15, 2023) (Preprint)
  • Ran Wang, Kenji Kashima,
    “Density estimation based Soft Actor-Critic: deep reinforcement learning for static output feedback control with measurement noise,”
    • Advanced Robotics, Vol. 38, Issue 6, 398/409, 2024 (February 7, 2024)

2023

  • Ran Wang, Kenji Kashima,
    “Deep reinforcement learning for continuous-time self-triggered control with experimental evaluation,”
    • Advanced Robotics, Vol. 37, Issue 16, 1012/1024, 2023 (July 3, 2023)
  • Ryotaro Shima, Ryuta Moriyasu, Sho Kawaguchi, Kenji Kashima,
    “Differentiable sparse optimal control,”
    • IEEE Control Systems Letters, vol. 7, pp. 3126/3131, 2023 (June 26, 2023) (Preprint)
  • Kaito Ito, Kenji Kashima,
    “Entropic model predictive optimal transport for underactuated linear systems,”
    • IEEE Control Systems Letters, Vol. 7, pp. 2261/2266, 2023 (June 21, 2023) (Preprint)
  • Tomohito Omori, Kenji Kashima,
    “Combinatorial optimization approach to client scheduling for federated learning,”
    • IEEE Control Systems Letters, Vol. 7, pp. 2203/2208, 2023 (June 13, 2023) (Preprint)
  • Selected as Editors’ Choice
    Kaito Ito, Kenji Kashima,
    “Entropic model predictive optimal transport over dynamical systems,”
    • Automatica, Vol. 152, 110980, 2023 (March 16, 2023)
  • Yu Kawano, Kenji Kashima,
    “An LMI framework for contraction-based nonlinear control design by derivatives of Gaussian process regression,”
    • Automatica, Vol. 151, 110928, 2023 (February 26, 2023) (Preprint)
  • Kunwoo Lee, Yusuke Umezu, Kaiki Konno, Kenji Kashima,
    “Observability Gramian for Bayesian inference in nonlinear systems with its industrial application,”
    • IEEE Control Systems Letters, Vol. 7, pp. 871/876, 2023 (December 7, 2022)

2022

  • Manaka Okuyama, Kentaro Ohki, Masayuki Ohzeki, “Threshold theorem in isolated quantum dynamics with local stochastic control errors,”
  • SICE Best Paper Award
    Kaito Ito, 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 (July 27, 2022) DOI: 10.1080/18824889.2022.2095827
  • Takuya Ikeda, Kenji Kashima, “Sparse control node scheduling in networked systems based on approximate controllability,”
    • IEEE Transactions on Control of Network Systems, Vol. 9, Issue 3, pp. 1166/1177, 2022 (February 25, 2022) DOI: 10.1109/TCNS.2022.3154666
  • Man Zheng, Yoshito Ohta, “Input design for Bayesian frequency response identification via convex programming,”
  • Takuya Ikeda, Kazunori Sakurama, Kenji Kashima, “Multiple sparsity constrained control node scheduling with application to rebalancing of mobility networks,”
    • IEEE Transactions on Automatic Control, Vol. 67, Issue 8, 4314/4321, 2022 (September 24, 2021) DOI: 10.1109/TAC.2021.3115441

2021

  • Kaito Ito, Yu Kawano, Kenji Kashima, “Privacy protection with heavy-tailed noise for linear dynamical systems,”
  • Genki Sugiura, Kaito Ito, Kenji Kashima, “Bayesian differential privacy for linear dynamical systems,”
  • Ryuta Moriyasu, Taro Ikeda, Sho Kawaguchi, Kenji Kashima, “Structured Hammerstein-Wiener model learning for model predictive control,”
  • SICE Best Paper Award, Takeda Award
    Kaito Ito, Kenji Kashima, Masakazu Kato, 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 (April 25, 2021) DOI: 10.1080/18824889.2021.1906017
  • Hafez Sarkawi, Yoshito Ohta, Paolo Rapisarda, “On the switching control of the DC–DC zeta converter operating in continuous conduction mode,”
    • IET Control Theory & Applications, Vol. 15, Issue 9, pp. 1185/1198, 2021 (March 22, 2021) DOI: 10.1049/cth2.12115
  • Yoshito Ohta, Paolo Rapisarda, “Rational orthonormal bases, state transformations, and dissipativity,”
    • IEEE Transactions on Automatic Control,  Vol. 67, Issue 4, pp. 2019/2026, 2021 (31 March 2021) DOI: 10.1109/TAC.2021.3070244
  • Yu Kawano, Kenji Kashima, Ming Cao, “Modular control under privacy protection: Fundamental trade-offs,”
  • Kaito Ito, Takuya Ikeda, Kenji Kashima, “Sparse optimal stochastic control,”
  • Man Zheng, Yoshito Ohta, “Bayesian positive system identification: Truncated Gaussian prior and hyperparameter estimation,”

2020～2018

  • Daisuke Iwai∗, Hidetoshi Izawa∗, Kenji Kashima∗, Tatsuyuki Ueda, Kosuke Sato, (∗ contributed equally) “Speeded-up focus control of electrically tunable lens by sparse optimization,
  • Takuya Ikeda, Masaaki Nagahara, Kenji Kashima, “Maximum hands-off distributed control for consensus of multi-agent systems with sampled-data state observation,”
  • Takuya Ikeda, Kenji Kashima, “On sparse optimal control for general linear systems,”
  • Kenji Kashima, Hiroki Aoyama, Yoshito Ohta, “Stable process approach to analysis of systems under heavy-tailed noise: Modeling and stochastic linearization,”
  • Hidenori Shingin, Yoshito Ohta, “Amplitude SNR limitation in control over channels with bounded noise,”
  • Hidenori Shingin, Yoshito Ohta, “Reduction of state variables based on regulation and filtering performance,”
  • 2019 IEEE CSS Roberto Tempo Best CDC Paper Award
    Takuya Ikeda, Kenji Kashima, “Sparsity-constrained controllability maximization with application to time-varying control node selection,”
  • Hafez Sarkawi, Yoshito Ohta, “Uncertain DC-DC Zeta Converter Control in Convex Polytope Model Based on LMI Approach,”
  • Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, Masayuki Murata, “Self-organizing control mechanism based on collective decision-making for information uncertainty,”
    • ACM Transactions on Autonomous and Adaptive Systems, vol. 13, Issue 1, Article No. 7, 2018 DOI: 10.1145/3183340

Before 2017

  • Visit the old website

Refereed International Conferences

2023

  • Tomofumi Ohtsuka, Kai Cai, Kenji Kashima, “Data-informativity for data-driven supervisory control of discrete-event systems,”
    • 62nd IEEE Conference on Decisions and Control (CDC), 2023
  • Ran Wang, Ye Tian, Kenji Kashima, “Reinforcement learning for discrete-time static noisy state feedback control with reward estimation,”
    • 22nd IFAC World Congress, 2023
  • Kaito Ito, Kenji Kashima, “Maximum entropy density control of discrete-time linear systems with quadratic state cost”
    • 22nd IFAC World Congress, 2023
  • Koshi Oishi, Yota Hashizume, Tomohiko Jimbo, Hirotaka Kaji, Kenji Kashima, “Resilience evaluation of entropy regularized logistic networks with probabilistic cost”
    • 22nd IFAC World Congress, 2023
  • Takuya Ikeda, Kenji Kashima, “Sparse network identification for consensus discrete-time systems,”
    • 22nd IFAC World Congress, 2023
  • Kunwoo Lee, Yusuke Umezu, Kaiki Konno, Kenji Kashima, “Observability Gramian for Bayesian inference in nonlinear systems with its industrial application,”
    • 2023 American Control Conference (ACC), 2023

2022

  • Kaito Ito, Kenji Kashima, “Maximum entropy optimal density control of discrete-time linear systems,”
    • 25th International Symposium on Mathematical Theory of Networks and Systems (MTNS), 2022
  • Tomofumi Ohtsuka, Takuya Ikeda, Kenji Kashima, “Matrix Pontryagin principle approach to controllability metrics maximization under sparsity constraints,”
    • 25th International Symposium on Mathematical Theory of Networks and Systems (MTNS), 2022
  • Tomofumi Ohtsuka, Takuya Ikeda, Kenji Kashima, “On numerical solution to sparsity constrained controllability metrics maximization,”
    • 61st Annual Conference of the Society of Instrument and Control Engineers (SICE), 2022
  • Yusuke Sakaguchi, Ryuta Moriyasu, Masayuki Kusunoki, Kenji Kashima, “Continuous-time MPC of an engine airpath system based on machine-learning assisted modeling,”
    • 10th IFAC Symposium on Robust Control Design (ROCOND), 2022
  • Kaito Ito, Kenji Kashima, “Sinkhorn MPC: Model predictive optimal transport over dynamical systems,”
    • 2022 American Control Conference (ACC), 2022
  • Takuya Ikeda, Kenji Kashima, “Optimal time-varying topology for network systems,”
    • 13th Asian Control Conference (ASCC), 2022

2021

  • Genki Sugiura, Kaito Ito, Kenji Kashima, “Bayesian differential privacy for linear dynamical systems,”
    • 60th IEEE Conference on Decisions and Control (CDC), 2021
  • Ryuta Moriyasu, Taro Ikeda, Sho Kawaguchi, Kenji Kashima, “Structured Hammerstein-Wiener model learning for model predictive control,”
    • 60th IEEE Conference on Decisions and Control (CDC), 2021
  • Shoju Enami, Kentaro Ohki, “A proposal of adaptive parameter tuning for robust stabilizing control of N-level quantum angular momentum systems,”
    • 60th IEEE Conference on Decisions and Control (CDC), 2021
  • Ran Wang, Ibuki Takeuchi, Kenji Kashima, “Deep reinforcement learning for continuous-time self-triggered control,”
    • Third IFAC Conference on Modelling, Identification and Control of Nonlinear Systems (MICNON), 2021
  • Kenji Kashima, Moe Watanabe, Ichiro Maruta, “Simultaneous identification of nonlinear dynamics and state distribution using Jensen-Shannon divergence,”
    • Third IFAC Conference on Modelling, Identification and Control of Nonlinear Systems (MICNON), 2021
  • Yoshito Ohta, “On the Realization of Hidden Markov Models and Tensor Decomposition,”
    • 24th International Symposium on Mathematical Theory of Networks and Systems (MTNS), 2021
  • Yoshito Ohta, Paolo Rapisarda, “Dissipativity and transformed systems,”
    • 24th International Symposium on Mathematical Theory of Networks and Systems (MTNS), 2021

2020

  • Man Zheng, Yoshito Ohta, “The reducibility of reachable space for structured hidden Markov models,”
    • 59th IEEE Conference on Decisions and Control (CDC), 2020
  • Man Zheng, Yoshito Ohta, “Stochastic input design problems for the frequency response in Bayesian identification,”
    • 21st IFAC World Congress, Berlin, 2020
  • Kenji Kashima, Misaki Imai, “Controllability Gramian of nonlinear Gaussian process state space models with application to model sparsification,”
    • 21st IFAC World Congress, 2020
  • Yu Kawano, Kenji Kashima, Ming Cao, “A fundamental performance limit of cloud-based control in terms of differential privacy level,”
    • 21th IFAC World Congress, 2020
  • Kaito Ito, Takuya Ikeda, Kenji Kashima, “Continuity of the value function for stochastic sparse optimal control,”
    • 21th IFAC World Congress, 2020
  • Kentaro Ohki, “Mean-field type quantum filter for a quantum Ising type system,”
    • 21th IFAC World Congress, 2020

Before 2019

  • Visit the old website

Other publications (in Japanese)

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