@inproceedings{7cd13e1395d147d2a06cd8f026b3c62d,
title = "A method of hybrid neural network adaptive control for flight control system",
abstract = "It is difficult to establish accurate models for complex flight control systems, but neural network has arbitrary nonlinear approximation ability. In order to overcome modeling errors and disturbances, a method of hybrid flight control is proposed. Firstly, inverse model of the object is identified online through neural networks and the feedback linearization control system is reached. And then circle theorem is used to design linear robust controller to control the state variables follow the input. A dynamic longitudinal model of a high-performance aircraft is considered to demonstrate the effectiveness of the proposed control scheme. Simulation results show designed controllers are highly adaptive and anti-interference ability.",
keywords = "Adaptive inverse control, Flight control, Neural network, PID control",
author = "Wei Gu and Dan Li and Weiguo Zhang and Xiaoxiong Liu",
year = "2010",
doi = "10.1109/ICICTA.2010.666",
language = "英语",
isbn = "9780769540771",
series = "2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010",
pages = "160--163",
booktitle = "2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010",
note = "2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010 ; Conference date: 11-05-2010 Through 12-05-2010",
}