activity
20152022
most citedParallel tempering algorithm for integration over Lefschetz thimbles

69 citations · 296 across the 15 of their papers we have counts for

collaborators

15 papers

eess.SY2022★ 1 cited

Experimental Low-speed Positioning System with VecTwin Rudder for Automatic Docking (Berthing)

Dimas M. Rachman, Yusuke Aoki, Yoshiki Miyauchi +2

A VecTwin rudder system comprises twin fishtail rudders with reaction fins to increase its performance. With a constant propeller revolution number, the vessel can execute special…

eess.SY2021★ 31 cited

Warm-started Semionline Trajectory Planner for Ship's Automatic Docking (Berthing)

Dimas M. Rachman, Atsuo Maki, Yoshiki Miyauchi +1

In the usual framework of control, a reference trajectory is needed as the set point for a feedback controller. This reference trajectory can be generated by solving a trajectory o…

math.DS2021★ 13 cited

Application of Linear Filter and Moment Equation for Parametric Rolling in Irregular Longitudinal Waves

Yuuki Maruyama, Atsuo Maki, Leo Dostal +1

Parametric rolling is one of the dangerous dynamic phenomena. In order to discuss the safety of a vessel when a dangerous phenomenon occurs, it is important to estimate the probabi…

eess.SY2021★ 3 cited

System Parameter Exploration of Ship Maneuvering Model for Automatic Docking / Berthing using CMA-ES

Yoshiki Miyauchi, Atsuo Maki, Naoya Umeda +2

Accurate maneuvering estimation is essential to establish autonomous berthing control. The system-based mathematical model is widely used to estimate the ship's maneuver. Commonly,…

math.OC2021★ 69 cited

Optimization on Planning of Trajectory and Control of Autonomous Berthing and Unberthing for the Realistic Port Geometry

Yoshiki Miyauchi, Ryohei Sawada, Youhei Akimoto +2

To realize autonomous shipping, autonomous berthing and unberthing are some of the technical challenges. In the past, numerous research have been done on the optimization of trajec…

hep-lat2020

Distance between configurations in MCMC simulations and the geometrical optimization of the tempering algorithms

Masafumi Fukuma, Nobuyuki Matsumoto, Naoya Umeda

For a given Markov chain Monte Carlo (MCMC) algorithm, we define the distance between configurations that quantifies the difficulty of transitions. This distance enables us to inve…