Journal Papers

• Nuthasith Gerdpratoom, Anders Rantzer, and Kaoru Yamamoto. “Data-Driven Sampled-Data LQR: Certainty-Equivalence Control via Lifted Cost and Riccati Analysis.” Systems & Control Letters, 213:106435, 2026. [Link]
• Nuthasith Gerdpratoom, Fumiya Matsuzaki, Yutaka Yamamoto, and Kaoru Yamamoto. “Enhanced Sampled-Data Model Predictive Control via Nonlinear Lifting.” International Journal of Robust and Nonlinear Control, pp. 1–12, 2025. [Link]
• Nuthasith Gerdpratoom and Kaoru Yamamoto. “Decentralized Nonlinear Model Predictive Control-Based Flock Navigation with Real-Time Obstacle Avoidance in Unknown Obstructed Environments.” Frontiers in Robotics and AI, vol. 12, p. 1540808, Frontiers, 2025. [Link]

Preprints

• Tianchen Sun, Bingheng Wang, Nuthasith Gerdpratoom, Longbin Tang, Yichao Gao, and Lin Zhao. “Learning Agile Gate Traversal via Analytical Optimal Policy Gradient.” arXiv preprint arXiv:2508.21592, 2026. [Link]

Conference Papers

• Nuthasith Gerdpratoom and Kaoru Yamamoto, “Decentralized Nonlinear MPC-Based Flock Navigation with Real-Time Obstacle Avoidance in Unknown Obstructed Environments,” in Proceedings of the 8th International Symposium on Swarm Behavior and Bio-inspired Robotics, Kyoto, Japan, September 2024. [Link]