Neuro-adaptive fault-tolerant control of high speed trains under traction-braking failures using self-structuring neural networks
Neuro-adaptive fault-tolerant control of high speed trains under traction-braking failures using self-structuring neural networks
复制标题
使用自结构化神经网络对牵引制动故障下的高速列车进行神经自适应容错控制
DOI:
10.1016/j.ins.2016.05.033
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发表时间:
2016-11
影响因子:
8.1
通讯作者:
高瑞贞
中科院分区:
文献类型:
--
作者:
高瑞贞
This paper develops an adaptive control scheme for position and velocity tracking control of high speed trains under uncertain system nonlinearities and actuator failures. Neural networks with self-structuring capabilities are integrated into control design, where the number of the neurons can be adjusted online automatically, so that not only the problem inherent in the NN with fixed structure is avoided, but also the negative impacts arising from nonlinear in-train forces, traction/braking uncertain dynamics as well as the unknown actuation faults are effectively attenuated. It is shown that the resultant control algorithms are able to achieve high precision train speed and position tracking under varying operation railway conditions, as validated by theoretical analysis and numerical simulations.
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DOI:
10.3182/20050703-6-cz-1902.02050
发表时间:
2005
期刊:
IFAC Proceedings Volumes
影响因子:
--
作者:
M. Chou;X. Xia
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M. Chou;X. Xia
DOI:
10.1016/j.automatica.2007.05.002
发表时间:
2008
期刊:
Autom.
影响因子:
--
作者:
X. Zhuan;X. Xia
通讯作者:
X. Zhuan;X. Xia
DOI:
10.1109/acc.1999.786346
发表时间:
1999-12
期刊:
Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251)
影响因子:
--
作者:
C. Yang;Yun-Ping Sun
通讯作者:
C. Yang;Yun-Ping Sun
影响因子:
3.5
作者:
P. Pounds;Daniel R. Bersak;A. Dollar
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P. Pounds;Daniel R. Bersak;A. Dollar
DOI:
10.1109/acc.2002.1024864
发表时间:
2002-05
期刊:
Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301)
影响因子:
--
作者:
A. Astolfi;L. Menini
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A. Astolfi;L. Menini