Bacterial foraging optimization algorithm to improve a discrete-time neural second order sliding mode controller

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• 作者：Alma Y. Alanis ; ^{almayalanis@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; ^{alma.alanis@cucei.udg.mx" class="auth_mail" title="E-mail the corresponding author} ; Nancy Arana-Daniel ; Carlos Lopez-Franco
• 关键词：Bacterial foraging optimization ; Discrete-time second order sliding Mode controller ; Unknown nonlinear systems ; Discrete-time nonlinear systems ; Recurrent neural networks
• 刊名：Applied Mathematics and Computation
• 出版年：2015
• 出版时间：15 November 2015
• 年：2015
• 卷：271
• 期：Complete
• 页码：43-51
• 全文大小：586 K

文摘

This paper deals with design parameter selection of a discrete-time neural second order sliding mode controller for unknown nonlinear systems, based on bacterial foraging optimization. First, a neural identifier is proposed in order to obtain a mathematical model for the unknown discrete-time nonlinear systems, then a novel second order sliding mode controller is proposed. Finally, both, the neural identifier and the controller are optimized using bacterial foraging algorithm. In order to illustrate the applicability of the proposed scheme, simulation results are included for a Van der Pol oscillator.