Adaptive dynamic surface control using neural networks for hypersonic flight vehicle with input nonlinearities-Reference-Cited by-同舟云学术

Adaptive dynamic surface control using neural networks for hypersonic flight vehicle with input nonlinearities

Published:2020-02-27 Issue:6 Volume:41 Page:1904-1927
ISSN:0143-2087
Container-title:Optimal Control Applications and Methods
language:en
Short-container-title:Optim Control Appl Meth

Author:

Zhou Lilin¹^ORCID,Liu Lei^ORCID,Cheng Zhongtao^ORCID,Wang Bo,Fan Huijin^ORCID

Affiliation:

1. National Key Laboratory of Science and Technology on Multispectral Information Processing School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Applied Mathematics,Control and Optimization,Software,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/oca.2584

Reference37 articles.

1. Adaptive restricted trajectory tracking for a non-minimum phase hypersonic vehicle model

2. Improved nonlinear dynamic inversion control for a flexible air-breathing hypersonic vehicle

3. Improved Hybrid Fireworks Algorithm-Based Parameter Optimization in High-Order Sliding Mode Control of Hypersonic Vehicles

4. Dynamic surface control based on neural network for an air-breathing hypersonic vehicle

5. Two controller designs of hypersonic flight vehicle under actuator dynamics and AOA constraint

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