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• W2137308837 abstract "In this paper, a neural network based sliding model control scheme for systems with unknown hysteresis is proposed. In the control scheme, a neural network model is utilized to describe the behavior of hysteresis. Comparing with the Preisach model, the proposed model can be easily adjusted on-line to adapt the change of operation conditions. Then, an adaptive neural sliding mode controller based on the proposed neural model is presented for a class of single-input nonlinear systems with unknown hysteresis non-linearity" @default.
• W2137308837 created "2016-06-24" @default.
• W2137308837 creator A5031452386 @default.
• W2137308837 creator A5044376293 @default.
• W2137308837 date "2005-07-27" @default.
• W2137308837 modified "2023-09-26" @default.
• W2137308837 title "Neural Sliding Mode Control for Systems with Hysteresis" @default.
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• W2137308837 doi "https://doi.org/10.1109/.2005.1467060" @default.
• W2137308837 hasPublicationYear "2005" @default.
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