Title :
Second order sliding mode for MIMO nonlinear uncertain systems based on a neural identifier
Author :
Alanis, Alma Y. ; Sanchez, Edgar N.
Author_Institution :
Dept. de Cienc. Computacionales, Univ. de Guadalajara, Zapopan, Mexico
Abstract :
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.
Keywords :
MIMO systems; discrete time systems; neural nets; nonlinear systems; stability; uncertain systems; variable structure systems; MIMO nonlinear uncertain systems; adaptive tracking; discrete-time nonlinear systems; high order neural network structure; neural identifier; second order sliding mode; stability analysis; Adaptation model; Algorithm design and analysis; Artificial neural networks; Kalman filters; Nonlinear systems; Sliding mode control; Training; Discrete-time nonlinear systems; Discrete-time second order sliding modes; Extended Kalman filtering learning; Neural control;
Conference_Titel :
World Automation Congress (WAC), 2010
Conference_Location :
Kobe
Print_ISBN :
978-1-4244-9673-0
Electronic_ISBN :
2154-4824
