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cs.LG2024
Risk-sensitive control as inference with Rényi divergence
Kaito Ito, Kenji Kashima
This paper introduces the risk-sensitive control as inference (RCaI) that extends CaI by using Rényi divergence variational inference. RCaI is shown to be equivalent to log-probabi…
math.OC2024
Minimum energy density steering of linear systems with Gromov-Wasserstein terminal cost
Kohei Morimoto, Kenji Kashima
In this paper, we newly formulate and solve the optimal density control problem with Gromov-Wasserstein (GW) terminal cost in discrete-time linear Gaussian systems. Differently fro…
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…