12 citations · 12 across the 5 of their papers we have counts for
5 papers
Bilevel MPC for Linear Systems: A Tractable Reduction and Continuous Connection to Hierarchical MPC
Ryuta Moriyasu, Carmen Amo Alonso, Marco Pavone
Model predictive control (MPC) has been widely used in many fields, often in hierarchical architectures that combine controllers and decision-making layers at different levels. How…
Continuation Method for Nonsmooth Model Predictive Control Using Proximal Technique
Ryotaro Shima, Ryuta Moriyasu, Teruki Kato
This paper presents a novel framework for the continuation method of model predictive control based on optimal control problem with a nonsmooth regularizer. Via the proximal operat…
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…
Learning Exactly Linearizable Deep Dynamics Models
Ryuta Moriyasu, Masayuki Kusunoki, Kenji Kashima
Research on control using models based on machine-learning methods has now shifted to the practical engineering stage. Achieving high performance and theoretically guaranteeing the…
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-…