Publications

Jounal Article Link to heading

• N. Gerdpratoom, F. Matsuzaki, Y. Yamamoto, and K. Yamamoto,
  Enhanced Sampled-Data Model Predictive Control via Nonlinear Lifting,
  International Journal of Robust and Nonlinear Control, vol. 35, no. 18, pp. 7621–7632, 2025.

• F. Matsuzaki and T. Ikeda,
  Sparse Topology Estimation for Consensus Network Systems via Minimax Concave Penalty,
  IEEE Control Systems Letters, vol. 8, pp. 1012–1017, 2024.

International Conference Link to heading

• F. Matsuzaki, A. Sakaguchi, and K. Yamamoto,
  Lifting-based nonlinear model predictive control for high-performance mobile robot tracking,
  10th IEEE Conference on Control Technology and Applications, Vancouver, Canada, August 13, 2026.

• F. Matsuzaki and T. Ikeda,
  Sparse topology estimation for consensus network systems via minimax concave penalty,
  63rd IEEE Conference on Decision and Control, Milano, Italy, December 18, 2024 (with L-CSS option).

• F. Matsuzaki, R. Yotsumoto, and T. Ikeda,
  Sparse structure learning for consensus network systems via sum-of-absolute-values regularization,
  62nd Annual Conference of the Society of Instrument and Control Engineers, Mie, Japan, September 8, 2023.

• F. Matsuzaki and T. Ikeda,
  Distributed formation control for discrete-time systems with field of view constraint,
  13th Asian Control Conference, Jeju, Korea, May 6, 2022.

International Workshop Link to heading

• Fumiya Matsuzaki,
  High-Precision Model Predictive Control under Resource Constraints via Nonlinear Lifting Technique,
  Workshop on Uncertain Dynamical Systems, Osaka, Japan, August 20, 2026.

Domestic Conference Link to heading

• 松崎 史弥, 坂口 聡範, 山本 薫,
  リフティングによる非線形サンプル値モデル予測制御とクアッドロータの軌道追従,
  第43回日本ロボット学会学術講演会, 東京, September 5, 2025.

Others Link to heading

• 松崎 史弥,
  非線形リフティングを用いたリソース制約下での高精度モデル予測制御,
  制御理論若手合宿2026, 熱海, September 8, 2026.

• 松崎 史弥,
  サンプル点間を考えるロボット制御,
  KUPAC 第9回フィジカルAI勉強会, 京都, August 21, 2026.

• 松崎 史弥,
  線形リフティングと非線形システムへの導入,
  制御理論若手合宿2024, 名古屋, September 11, 2024.