Multi-UUV Maneuvering Counter-Game for Dynamic Target Scenario Based on Fractional-Order Recurrent Neural Network-Reference-Cited by-同舟云学术

Multi-UUV Maneuvering Counter-Game for Dynamic Target Scenario Based on Fractional-Order Recurrent Neural Network

Published:2022 Issue: Volume: Page:1-14
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Liu Lu¹^ORCID,Zhang Shuo²^ORCID,Zhang Lichuan¹^ORCID,Pan Guang¹^ORCID,Yu Junzhi³

Affiliation:

1. School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an, China

2. School of Mathematics and Statistics, Northwestern Polytechnical University, Xi’an, China

3. Department of Advanced Manufacturing and Robotics, College of Engineering, Peking University, Beijing, China

Funder

National Natural Science Foundation of China

Shenzhen Science and Technology Program

Local Science and Technology Special Foundation

National Research and Development Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221036/6352949/09983500.pdf?arnumber=9983500

Cited by 89 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Decision study and optimization of an innovative three-state multigeneration process using solar energy and compressed air energy storage: A data-driven scenario;Applied Thermal Engineering;2024-11

2. On the measurement of the aerodynamic features of composite structures under subsonic airflow using mathematical modeling and machine learning method;Measurement;2024-10

3. Active vibration control for ship pipeline system based on PI-LQR state feedback;Ocean Engineering;2024-10

4. Adaptive tracking control of underactuated AUV with historical navigation information and piecewise weighted fractional order integration;Chinese Journal of Physics;2024-10

5. Coordination and Control in Multiagent Systems for Enhanced Pursuit-Evasion Game Performance;Dynamic Games and Applications;2024-09-04