Adaptive neural control based on HGO for hypersonic flight vehicles
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2011/03/01
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Indian UGC (journal)
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Refrences14
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Citations77
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Bin Xu
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DaoXiang Gao
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ShiXing Wang
Cite
Xu, Bin, et al. “Adaptive Neural Control Based on HGO for Hypersonic Flight Vehicles”. Science China Information Sciences, vol. 54, no. 3, 2011, pp. 511-20, https://doi.org/10.1007/s11432-011-4189-8.
Xu, B., Gao, D., & Wang, S. (2011). Adaptive neural control based on HGO for hypersonic flight vehicles. Science China Information Sciences, 54(3), 511-520. https://doi.org/10.1007/s11432-011-4189-8
Xu, Bin, DaoXiang Gao, and ShiXing Wang. “Adaptive Neural Control Based on HGO for Hypersonic Flight Vehicles”. Science China Information Sciences 54, no. 3 (2011): 511-20. https://doi.org/10.1007/s11432-011-4189-8.
1.
Xu B, Gao D, Wang S. Adaptive neural control based on HGO for hypersonic flight vehicles. Science China Information Sciences. 2011;54(3):511-20.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Computer software
Science
Science (General)
Cybernetics
Information theory
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Computer engineering
Computer hardware
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Nonlinear Robust Adaptive Control of Flexible Air-Breathing Hypersonic Vehicles | Journal of Guidance, Control, and Dynamics |
| 339 | 2009 |
| 10.1109/TNN.2009.2020982 | 2009 | |||
| 10.1109/TNN.2008.2000446 | 2008 | |||
| Nonlinear Longitudinal Dynamical Model of an Air-Breathing Hypersonic Vehicle | Journal of Spacecraft and Rockets |
| 379 | 2007 |
| 10.1109/TNN.2003.811712 | 2003 |
Refrences Analysis
The category
Technology: Mechanical engineering and machinery 2
is the most frequently represented among the references in this article. It primarily includes studies from IEEE Control Systems Magazine and International Journal of Control. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Disturbance observer-based adaptive neural guidance and control of an aircraft using composite learning | Control Engineering Practice |
| 1 | 2023 |
Decentralized Adaptive Quantized Dynamic Surface Control for a Class of Flexible Hypersonic Flight Vehicles with Input Quantization | Machines |
| 2023 | |
Nonlinearly Parametrized Modeling and Adaptive Control for a Generic Hypersonic Vehicle | Processes |
| 2023 | |
| Neural network-based flight control systems: Present and future | Annual Reviews in Control |
| 19 | 2022 |
| Adaptive tracking control for an unmanned autonomous helicopter using neural network and disturbance observer | Neurocomputing |
| 5 | 2022 |
Citations Analysis
The category
Technology: Engineering (General). Civil engineering (General) 42
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Adaptive discrete-time controller design with neural network for hypersonic flight vehicle via back-stepping and was published in 2011. The most recent citation comes from a 2023 study titled Decentralized Adaptive Quantized Dynamic Surface Control for a Class of Flexible Hypersonic Flight Vehicles with Input Quantization. This article reached its peak citation in 2015, with 16 citations. It has been cited in 33 different journals, 15% of which are open access. Among related journals, the Science China Information Sciences cited this research the most, with 13 citations. The chart below illustrates the annual citation trends for this article.