Abstract
In this paper, we present a sliding-mode control scheme for nonlinear systems which integrates an auto-tuning single neuron. The single neuron with an adaptive SMC controller is used to achieve adaptation. It is verified that this controller has few adjustable parameters, excellent robust performance and is adaptive.
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© 2011 Springer-Verlag Berlin Heidelberg
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Chen, YC., Hung, LC., Chao, SH. (2011). Neuron with Sliding-Mode Control for Nonlinear Systems. In: Tan, H., Zhou, M. (eds) Advances in Information Technology and Education. Communications in Computer and Information Science, vol 201. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22418-8_36
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DOI: https://doi.org/10.1007/978-3-642-22418-8_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22417-1
Online ISBN: 978-3-642-22418-8
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