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

Alma Y. Alanis, Nancy Arana-Daniel and Carlos Lopez-Franco

Applied Mathematics and Computation, 2015, vol. 271, issue C, 43-51

Abstract: 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.

Keywords: Bacterial foraging optimization; Discrete-time second order sliding Mode controller; Unknown nonlinear systems; Discrete-time nonlinear systems; Recurrent neural networks (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:271:y:2015:i:c:p:43-51

DOI: 10.1016/j.amc.2015.08.112

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