Real-Time Weight Optimization of a Nonlinear Model Predictive Controller Using a Genetic Algorithm for Ship Trajectory Tracking

Real-Time Weight Optimization of a Nonlinear Model Predictive Controller Using a Genetic Algorithm for Ship Trajectory Tracking

This paper presents a weight optimization method for a nonlinear model predictive controller (NMPC) based on the genetic algorithm (GA) for ship trajectory tracking. The weight coefficients <i>Q</i> and <i>R</i> of the objective function in NMPC are obtained via the real-time...

Full description

Bibliographic Details
Main Authors: Dunjing Yu, Fang Deng, Hongyan Wang, Xiuhui Hou, Hualin Yang, Tikun Shan
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Journal of Marine Science and Engineering
Subjects:
nonlinear model predictive control
genetic algorithm
ship trajectory tracking
parameter optimization
Online Access:https://www.mdpi.com/2077-1312/10/8/1110

Internet

https://www.mdpi.com/2077-1312/10/8/1110

Similar Items