Reliability Analysis of Multi-Autonomous Underwater Vehicle Cooperative Systems Based on Fuzzy Control
Autonomous underwater vehicles (AUVs) perform a wide range of functions, since underwater circumstances are diverse and varied and resources are plentiful. However, existing prevalent theoretical computation methods for classifying underwater environments are unable to keep up with the constantly ev...
Saved in:
| Main Authors: | Yu Hao, Yuan Yao, Yanbo Zhang, Fang Zuo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Photonics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2304-6732/12/4/333 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Collision Characteristics During Autonomous Underwater Vehicle Recovery with a Petal Mechanical Gripper
by: Deyong Bian, et al.
Published: (2025-03-01) -
Optimized Hydrodynamic Design for Autonomous Underwater Vehicles
by: Gang Fan, et al.
Published: (2025-02-01) -
Knowledge-Guided Reinforcement Learning with Artificial Potential Field-Based Demonstrations for Multi-Autonomous Underwater Vehicle Cooperative Hunting
by: Yang Wang, et al.
Published: (2025-02-01) -
Control and Real-Time Monitoring of Autonomous Underwater Vehicle Through Underwater Wireless Optical Communication
by: Dongwook Jung, et al.
Published: (2025-05-01) -
Adaptive Deep Reinforcement Learning for Efficient 3D Navigation of Autonomous Underwater Vehicles
by: Elena Politi, et al.
Published: (2024-01-01)