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Second order sliding mode for MIMO nonlinear uncertain systems based on a neural identifier

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2 Author(s)
Alanis, Alma Y. ; Dept. de Cienc. Computacionales, Univ. de Guadalajara, Zapopan, Mexico ; Sanchez, Edgar N.

This paper deals with adaptive tracking for discrete-time nonlinear systems in presence of disturbances. A high order neural network structure is used to identify the plant model and based on this model, a discrete-time high order sliding mode, control law is derived. The paper also includes the respective stability analysis, for the whole system with a strategy. In order to show the applicability of the proposed scheme, simulation results are included for a Van der Pol oscillator.

Published in:

World Automation Congress (WAC), 2010

Date of Conference:

19-23 Sept. 2010