Dynamic recurrent fuzzy neural network-based adaptive sliding control for longitudinal automatic carrier landing system-Reference-Cited by-同舟云学术

Dynamic recurrent fuzzy neural network-based adaptive sliding control for longitudinal automatic carrier landing system

Published:2019-07-09 Issue:1 Volume:37 Page:53-62
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Zhu Qidan¹,Yang Zhibo¹

Affiliation:

1. College of Automation, Harbin Engineering University, Nangang District, Harbin City, Heilongjiang Province, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference31 articles.

1. Linearized model of carrier-based aircraft dynamics in final-approach air condition;Xia;Journal of Aircraft,2016

2. Analysis of global sensitivity of landing variables on landing loads and extreme values of the loads in carrier-based aircrafts;Zhou;International Journal of Aerospace Engineering,2018

3. Development of the F/A-18A automatic carrier landing system;Urnes;Journal of Guidance Control & Dynamics,2012

4. Adaptive disturbance rejection control for automatic carrier landing system;Wang;Mathematical Problems in Engineering,2016

5. Automatic carrier landing system based on active disturbance rejection control with a novel parameters optimizer;Yu;Aerospace Science & Technology,2017

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