Neural-PSO second order sliding mode controller for unknown discrete-time nonlinear systems

Author

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

Author_Institution

CUCEI, Univ. de Guadalajara, Zapopan, Mexico

fYear

2013

fDate

4-9 Aug. 2013

Firstpage

1

Lastpage

6

Abstract

This paper deals with adaptive tracking for unknown discrete-time MIMO nonlinear systems in presence of disturbances. A Particle Swarm Optimization (PSO) is used to improve a discrete-time neural second order sliding mode controller for unknown discrete-time nonlinear systems. In order to show the applicability of the proposed scheme, simulation results are included for a Van der Pol oscillator.

Keywords

adaptive control; discrete time systems; neurocontrollers; nonlinear control systems; particle swarm optimisation; relaxation oscillators; variable structure systems; Van der Pol oscillator; adaptive tracking; discrete-time neural second order sliding mode controller; neural-PSO second order sliding mode controller; particle swarm optimization; unknown discrete-time MIMO nonlinear systems; unknown discrete-time nonlinear systems; Artificial neural networks; Nonlinear systems; Particle swarm optimization; Sliding mode control; Training; Vectors; Discrete-time nonlinear systems; Discrete-time second order sliding modes; Hybrid neural systems; Neural identification; Particle swarm optimization; Van der Pol Oscillator;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks (IJCNN), The 2013 International Joint Conference on

Conference_Location

Dallas, TX

ISSN

2161-4393

Print_ISBN

978-1-4673-6128-6

Type

conf

DOI

10.1109/IJCNN.2013.6707133

Filename

6707133