12 citations · 12 across the 2 of their papers we have counts for
2 papers
eess.SY2024
Sampled-Data Primal-Dual Gradient Dynamics in Model Predictive Control
Ryuta Moriyasu, Sho Kawaguchi, Kenji Kashima
Model Predictive Control (MPC) is a versatile approach capable of accommodating diverse control requirements that holds significant promise for a broad spectrum of industrial appli…
math.OC2021★ 12 cited
Structured Hammerstein-Wiener Model Learning for Model Predictive Control
Ryuta Moriyasu, Taro Ikeda, Sho Kawaguchi +1
This paper aims to improve the reliability of optimal control using models constructed by machine learning methods. Optimal control problems based on such models are generally non-…