Automatic berthing of unmanned surface vessels with predetermined performance [PDF]
To solve the problem of ship automatic berthing control due to unknown time-varying disturbance and dynamic uncertainty of model parameters, an automatic berthing control law based on predefined performance time function is proposed.
Qiwen Wang +4 more
doaj +2 more sources
An Application of ANN to Automatic Ship Berthing Using Selective Controller [PDF]
This paper deals with ANN(Artificial Neural Networks) and its application to automatic ship berthing. As ship motions are expressed by a multi-term non-linear model, it is very difficult to find optimal methods for automatic ship berthing.
Namkyun Im +2 more
doaj +1 more source
Research into the Automatic Berthing of Underactuated Unmanned Ships under Wind Loads Based on Experiment and Numerical Analysis [PDF]
With the continuous improvement of unmanned ship automation requirements, research into the automatic berthing of underactuated unmanned ships has important theoretical significance and practical value.
Zaiji Piao, Chen Guo, Shuang Sun
doaj +2 more sources
Artificial Neural Network Controller for Automatic Ship Berthing Using Separate Route
The operation of ships in the port area requires not only the assistance of in-vessel equipment such as main engines and rudder, but also the assistance of external equipment such as tugboats. The complexity in the operation of ships in the port, requires control algorithm with multiple input and output for the automatic berthing control of the ship ...
Qiang Li, Hong Biguang
openalex +3 more sources
In the studies on an berthing control of ship, an artiļ¬cial neural network (ANN) model is commonly employed as the main controller to control the rudder and the propeller.
Van Suong Nguyen +2 more
openalex +3 more sources
Automatic Ship Berthing Using Parallel Neural Controller [PDF]
Abstract In this paper a parallel ANN(artificial neural networks) for the automatic berthing will be discussed. This controller has a separated hidden layer each control an engine and a rudder respectively. Using this controller simulations were carried out where the initial conditions such as ship's positions and heading angle are different from ...
Namkyun Im, Kazuhiko Hasegawa
openaire +2 more sources
Experiment Results for Automatic Ship Berthing using Artificial Neural Network Based Controller
Abstract Experiment results are often worthy and would be a great topic of discussion. Since many years, research on automatic ship berthing had already been going on to make it actually possible so that one can minimize the annual cost of dock damage as well to ensure safe operation for such sophisticated multi input-multi output phenomenon.
Yaseen Adnan Ahmed, Kazuhiko Hasegawa
openaire +2 more sources
154 A ship maneuvering system for automatic berthing
Hitoshi Kakami, Naoki Mizuno
openalex +3 more sources
LiDAR Data-Driven Deep Network for Ship Berthing Behavior Prediction in Smart Port Systems
Accurate ship berthing behavior prediction (BBP) is essential for enabling collision warnings and support decision-making. Existing methods based on Automatic Identification System (AIS) data perform well in the task of ship trajectory prediction over ...
Jiyou Wang +4 more
doaj +2 more sources
Event-Sampled Adaptive Neural Automatic Berthing Control for Underactuated Ships Under FDI Attacks
This work addresses the automatic berthing control problem of underactuated ships under false data injection (FDI) attack, and an event-sampled automatic berthing control scheme is proposed. To avoid the FDI attack signals from entering the closed-loop system through the sensorācontroller channel and worsening the berthing control performance as much ...
Peng Zhang +3 more
openalex +2 more sources

