Neural network disturbance observer-based distributed finite-time formation tracking control for multiple unmanned helicopters-Reference-Cited by-同舟云学术

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Neural network disturbance observer-based distributed finite-time formation tracking control for multiple unmanned helicopters

Published:2018-02 Issue: Volume:73 Page:208-226
ISSN:0019-0578
Container-title:ISA Transactions
language:en
Short-container-title:ISA Transactions

Author:

Wang Dandan,Zong Qun,Tian Bailing,Shao Shikai,Zhang Xiuyun,Zhao Xinyi

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province

Natural Science Foundation of Tianjin

Youth Foundation of Hebei Educational Committee

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference42 articles.

1. A reconfiguration scheme for quadrotor helicopter via simple adaptive control and quantum logic;Chen;IEEE Trans Ind Electron,2015

2. Adaptive position/attitude tracking control of aerial robot with unknown inertial matrix based on a new robust neural identifier;Lai;IEEE Trans Neural Network Learn Syst,2016

3. PID vs LQ control techniques applied to an indoor micro quadrotor;Bouabdallah,2004

4. Structured H∞ command and control-loop design for unmanned helicopters;Gadewadikar;J Guid Contr Dynam,2012

5. Robust model predictive control of unmanned aerial vehicles using waysets;Shekhar;J Guid Contr Dynam,2015

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