Convex Optimization-Based Adaptive Neural Network Control for Unmanned Surface Vehicles Considering Moving Obstacles

Convex Optimization-Based Adaptive Neural Network Control for Unmanned Surface Vehicles Considering Moving Obstacles

This article addresses the challenge of designing obstacle avoidance control strategies for unmanned ship systems operating in environments with moving obstacles and unmodeled dynamics. First, we utilize an enhanced artificial potential field method to generate real-time paths that allow unmanned sh...

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Bibliographic Details
Main Authors: Dongxiao Liu, Jiapeng Liu, Chongwei Sun, Baobin Dai
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Journal of Marine Science and Engineering
Subjects:
adaptive control
neural network
uncertain dynamics
USV
moving obstacle
Online Access:https://www.mdpi.com/2077-1312/13/3/587
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