activity
20212026
most citedOn Neural Network Identification for Low-Speed Ship Maneuvering Model

71 citations · 251 across the 26 of their papers we have counts for

collaborators
Showing 2021Show all

6 papers · 1 filter

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,…

eess.SY2021★ 71 cited

On Neural Network Identification for Low-Speed Ship Maneuvering Model

Kouki Wakita, Atsuo Maki, Umeda Naoya +4

Several studies on ship maneuvering models have been conducted using captive model tests or computational fluid dynamics (CFD) and physical models, such as the maneuvering modeling…

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…

math.OC2021★ 18 cited

Saddle Point Optimization with Approximate Minimization Oracle and its Application to Robust Berthing Control

Youhei Akimoto, Yoshiki Miyauchi, Atsuo Maki

We propose an approach to saddle point optimization relying only on oracles that solve minimization problems approximately. We analyze its convergence property on a strongly convex…