Approximate Optimal Adaptive Prescribed Performance Fault-Tolerant Control for Autonomous Underwater Vehicle Based on Self-Organizing Neural Networks-Reference-Cited by-同舟云学术

Approximate Optimal Adaptive Prescribed Performance Fault-Tolerant Control for Autonomous Underwater Vehicle Based on Self-Organizing Neural Networks

Published:2024-07 Issue:7 Volume:73 Page:9776-9785
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Chen Guangjun¹^ORCID,Dong Jiuxiang¹^ORCID

Affiliation:

1. College of Information Science and Engineering, the Liaoning Province Key Laboratory of Safe Operation Technique for Autonomous Unmanned Systems, and the State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities in China

Research Fund of State Key Laboratory of Synthetical Automation for Process Industries in China

1912 project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/25/10606142/10484982.pdf?arnumber=10484982

Reference40 articles.

1. Connectivity-Aware 3D UAV Path Design With Deep Reinforcement Learning

2. Command Filter-Based Adaptive Practical Prescribed-Time Asymptotic Tracking Control of Autonomous Underwater Vehicles With Limited Communication Angles

3. Distributed Adaptive Formation Reconfiguration Control for Multiple AUVs Based on Affine Transformation in Three-Dimensional Ocean Environments

4. Path Planning for Autonomous Underwater Vehicles Under the Influence of Ocean Currents Based on a Fusion Heuristic Algorithm

5. A Survey of Autonomous Underwater Vehicle Formation: Performance, Formation Control, and Communication Capability