Abstract
The coupled nonlinear model of the cross beam simulation system (CBSS) was transformed into a special form. This form consists of linear terms and nonlinear terms. The nonlinear terms were treated as uncertaimties and compensated by neural network, thus the model was decoupled into three independent channels. The sliding mode control via neural network was used to design a controller for each channel. Stability analysis showed the asymptotical stability of the system under the control of above controller. The effectiveness of the sliding mode control via neural network is verified by the simulation.
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© 2005 Springer-Verlag Berlin Heidelberg
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Zhao, H., Xu, Q., Gu, W., Xu, T. (2005). Sliding Mode Control for Cross Beam Simulation System via Neural Network. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3498. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427469_23
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DOI: https://doi.org/10.1007/11427469_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25914-5
Online ISBN: 978-3-540-32069-2
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