Journal Articles

  1. T. Ikeda, M. Nagahara, and K. Kashima,
    Maximum Hands-off Distributed Control for Consensus of Multi-Agent Systems with Sampled-data State Observation,
    IEEE Transactions on Control of Network Systems. (to appear)

  2. T. Ikeda and K. Kashima,
    On sparse optimal control for general linear systems,
    IEEE Transactions on Automatic Control. (to appear)

  3. T. Ikeda and M. Nagahara,　
    Time-optimal hands-off control for linear time-invariant systems,
    Automatica, vol. 99, pp. 54-58, 2019.

  4. T. Ikeda and K. Kashima,　
    Sparsity-constrained controllability maximization with application to time-varying control node selection,
    IEEE Control Systems Letters, vol. 2, pp. 321-326, 2018.

  5. T. Ikeda and M. Nagahara,　
    Discrete-valued model predictive control using sum-of-absolute-values optimization,
    Asian Journal of Control, vol. 20, pp. 196-206, 2018.

  6. T. Ikeda, M. Nagahara, and S. Ono,
    Discrete-valued control of linear time-invariant systems by sum-of-absolute-values optimization,
    IEEE Transactions on Automatic Control, vol. 62, pp. 2750-2763, 2017.

  7. T. Ikeda and M. Nagahara,
    Value function in maximum hands-off control for linear systems,
    Automatica, vol. 64, pp. 190-195, 2016.

Refereed Conference Proceedings

  1. T. Ikeda and K. Kashima,
    Sparsity-constrained controllability maximization with application to time-varying control node selection,
    57th IEEE Conference on Decision and Control, Miami, Dec. 17, 2018.

  2. T. Ikeda and K. Kashima,
    Path planning for linear systems based on sparsity-in-time,
    SICE Annual Conference, Nara, Sep. 12, 2018.

  3. T. Ikeda and K. Kashima,
    Optimal trajectories and state estimation based on sparsity-in-time,
    20th IFAC World Congress, Toulouse, Jul. 14, 2017.

  4. T. Ikeda, M. Nagahara, and K. Kashima,
    Consensus by maximum hands-off distributed control with sampled-data state observation,
    55th IEEE Conference on Decision and Control, Las Vegas, Dec. 12, 2016.

  5. T. Ikeda, M. Nagahara, and D. E. Quevedo,
    Quantized self-triggered control by sum-of-absolute-values optimization,
    22nd International Symposium on Mathematical Theory of Networks and Systems, Minneapolis, Jul. 14, 2016.

  6. T. Ikeda and M. Nagahara,
    Fundamental analysis of sparse optimal control and its application to discrete-valued control,
    2016 American Control Conference, Boston, Jul. 8, 2016.

  7. T. Ikeda and M. Nagahara,
    Maximum hands-off control without normality assumption,
    2016 American Control Conference, Boston, Jul. 6, 2016.
    (IEEE Kansai Section Student Paper Award, 2016 Outstanding Paper Award for Young C&C Researchers, Student Travel Awards)

  8. T. Ikeda and M. Nagahara,
    Computation of maximum hands-off control,
    SICE International Symposium on Control Systems 2016, Nagoya, Mar. 9, 2016.
    (2017 SICE Control Division Research Encouragement Award, 2016 SICE Kansai Chapter Encouragement Award)

  9. T. Ikeda and M. Nagahara,
    Discrete model predictive control by sum-of-absolute-values optimization,
    The 47th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'15), Hawaii, Dec. 5, 2015.

  10. T. Ikeda and M. Nagahara,
    Continuity of the value function in sparse optimal control,
    The 10th Asian Control Conference (ASCC), Kota Kinabalu, Jun. 2, 2015.

  11. T. Ikeda and M. Nagahara,
    Value functions in sparse optimal and L1-optimal controls,
    SICE International Symposium on Control Systems 2015, Tokyo, Mar. 5, 2015.


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