A novel approximation of underwater robotic vehicle controller exploiting multi-point matching

A novel approximation of underwater robotic vehicle controller exploiting multi-point matching

Abstract This proposed work is presenting the approximation of higher-order (HO) underwater robotic vehicle (URV) controller with the help of multi-point matching technique by incorporating greywolf optimization algorithm (GWOA). The performance of URV system is affected by external and internal dyn...

Full description

Saved in:
Bibliographic Details
Main Authors: Umesh Kumar Yadav, V. P. Singh, Luigi Fortuna, Umesh Kumar Sahu
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Approximation
Expansion-parameters
Greywolf optimization algorithm
Lower-order model
Multi-point matching
Underwater robotic vehicle controller.
Online Access:https://doi.org/10.1038/s41598-025-14612-w
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-14612-w

Similar Items