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• W2123437893 abstract "With the rapid development of mass transit system, how to improve the control accuracy of the train become increasingly important. During the train's running process, the resistance force is changing with some factors, such as, speed and track geometry, and these factors play an important role in tracking accuracy. Most existing methods assume the resistance force is available for feedback control or consider constant resistance coefficients. Contrasted to these methods, a neuroadaptive variable structure controller for automatic train speed and position tracking under varying operation conditions is proposed in this paper. We consider the case that the basic resistance forces and additional resistance forces are both time-varying and unknown. This method is proposed to achieve high precision position and speed tracking. The fundamental principle of this method is to design the control using combination of neural network and adaptive variable structure technique." @default.
• W2123437893 created "2016-06-24" @default.
• W2123437893 creator A5035337020 @default.
• W2123437893 creator A5063576030 @default.
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• W2123437893 date "2011-06-01" @default.
• W2123437893 modified "2023-09-24" @default.
• W2123437893 title "Neuroadaptive variable structure control of mass transit trains" @default.
• W2123437893 cites W1819420938 @default.
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• W2123437893 doi "https://doi.org/10.1109/acc.2011.5991042" @default.
• W2123437893 hasPublicationYear "2011" @default.
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