Title :
Discrete robust adaptive controller based on artificial neural networks
Author :
Munoz, Q. David ; Sbarbaro, H. Daniel
Author_Institution :
Electr. Eng. Dept., Univ. de Concepcion, Concepcion, Chile
Abstract :
In this paper a discrete time controller for a class of discrete time system is presented. The controller design is based on the variable structure theory and it uses artificial neural networks to provide an on line modelling. An adaptive term is added to the original variable structure algorithm, in order to reduce the chattering problem as the ANN learns the system dynamic. Simulations and experimental results are presented.
Keywords :
adaptive control; control system synthesis; discrete time systems; modelling; neurocontrollers; robust control; variable structure systems; artificial neural networks; chattering problem; controller design; discrete robust adaptive controller; discrete time controller; discrete time system; online modelling; variable structure algorithm; variable structure theory; Adaptation models; Adaptive systems; Artificial neural networks; Biological neural networks; Heuristic algorithms; Mathematical model; Oscillators; Discrete Systems; Neural Networks; Variable Structure;
Conference_Titel :
Control Conference (ECC), 1997 European
Conference_Location :
Brussels
Print_ISBN :
978-3-9524269-0-6
