京都大学 · 情報学研究科

研究キーワードdata-driven supervisory control・model predictive control・sparse controllability・optimal transport・differential privacy・Gaussian process state space models・stochastic optimal control・engine airpath control・self-organizing control・discrete-event systems

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• Data-Informativity for Data-Driven Supervisory Control of Discrete-Event Systems2023 · 2023 62nd IEEE Conference on Decision and Control (CDC),
• On numerical solution to sparsity constrained controllability metrics maximization2022 · 2022 61st Annual Conference of the Society of Instrument and Control Engineers (SICE),
• Continuous-time MPC of an engine airpath system based on machine-learning assisted modeling2022 · 2022年08月
• Sinkhorn MPC: Model predictive optimal transport over dynamical systems2022 · 2022 American Control Conference (ACC),

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