Minimal-learning-parameter technique based adaptive neural control of hypersonic flight dynamics without back-stepping-Reference-Cited by-同舟云学术

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Minimal-learning-parameter technique based adaptive neural control of hypersonic flight dynamics without back-stepping

Published:2015-09 Issue: Volume:164 Page:201-209
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Xu Bin^ORCID,Fan Yonghua,Zhang Shangmin

Funder

National Science Foundation of China

Natural Science Basic Research Plan in Shaanxi Province

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference32 articles.

1. Robust nonlinear control of a hypersonic aircraft;Wang;J. Guid. Control Dyn.,2000

2. Adaptive sliding mode control design for a hypersonic flight vehicle;Xu;J. Guid. Control Dyn.,2004

3. An overview on flight dynamics and control approaches for hypersonic vehicles;Xu;Sci. China Inf. Sci.,2015

4. The joy of feedback: nonlinear and adaptive: 1991 bode prize lecture;Kokotovic;IEEE Control Syst. Mag.,1991

5. Composite neural dynamic surface control of a class of uncertain nonlinear systems in strict-feedback form;Xu;IEEE Trans. Cybern.,2014

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