Neural network-based reconfiguration control for spacecraft formation in obstacle environments-Reference-Cited by-同舟云学术

Neural network-based reconfiguration control for spacecraft formation in obstacle environments

Published:2018-01-15 Issue:6 Volume:28 Page:2442-2456
ISSN:1049-8923
Container-title:International Journal of Robust and Nonlinear Control
language:en
Short-container-title:Int J Robust Nonlinear Control

Author:

Zhou Ning¹²^ORCID,Chen Riqing¹,Xia Yuanqing³^ORCID,Huang Jie²^ORCID,Wen Guoxing⁴^ORCID

Affiliation:

1. College of Computer and Information Sciences, Digital Fujian Research Institute of Big Data for Agriculture and Forestry; Smart Agriculture and Forestry Key Laboratory of Fujian Unverisity, Fujian Agriculture and Forestry University; Fuzhou China

2. Faculty of Science and Engineering; University of Groningen; Groningen the Netherlands

3. School of Automation, Key Laboratory of Intelligent Control and Decision of Complex Systems; Beijing Institute of Technology; Beijing China

4. Department of Mathematics; Binzhou University; Binzhou China

Funder

National Natural Science Foundation of China

China Scholarship Council

Natural Science Foundation of Fujian Province, China

Research Foundation for Outstanding Young Scholars in Fujian Agriculture and Forestry University

Foundation of Cloud Computing and Big Data for Agriculture and Forestry

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Reference43 articles.

1. Spacecraft formation reconfiguration with collision avoidance;Schlanbusch;Automatica,2011

2. Distributed attitude alignment in spacecraft formation flying;Ren;Int J Adapt Control Signal Process,2007

3. Decentralized sliding-mode control for attitude synchronization in spacecraft formation;Wu;Int J Robust Nonlinear Control,2013

4. Attitude synchronization for flexible spacecraft with communication delays;Du;IEEE Trans Autom Control,2016

5. Decentralized finite time attitude synchronization control of satellite formation flying;Zhou;J Guid Control Dyn,2013

Cited by 35 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. Vision-Only-Based Control of Approaching Disabled Satellites via Deep Learning;IEEE Transactions on Aerospace and Electronic Systems;2024-08

2. A super-twisting algorithm combined zeroing neural network with noise tolerance and finite-time convergence for solving time-variant Sylvester equation;Expert Systems with Applications;2024-08

3. Distributed event‐triggered fixed‐time formation tracking control for multi‐spacecraft systems based on adaptive immersion and invariance technique;International Journal of Robust and Nonlinear Control;2024-07-02

4. Robust Active Fault-Tolerant Configuration Control for Spacecraft Formation via Learning RBFNN Approaches;Journal of Aerospace Engineering;2024-05

5. Synchronization of chaotic satellite systems with an unknown parameter;Journal of Vibration and Control;2023-09-22