Title :
A Robust Sliding Mode Control With RBFNN Compensation For Uncertain Networked Control System
Author :
Yang, Liman ; Li, Yunhua ; Zuo, Li
Author_Institution :
Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing
Abstract :
For the uncertain NCS with stochastic network delay less than one period, a sort of RBFNN-DSMC algorithm combining discrete sliding mode control and RBF neural network is presented. In view of the coupling influence of time-variable delay and plant model error as well as exterior disturbance, RBFNN is used to approach the equivalent disturbance online and output assistant control quantity so as to restrain uncertainty with the discrete sliding mode controller with delay compensation together. Simulation study indicates that the above-mentioned algorithm has good control performance and robustness for the uncertain NCS.
Keywords :
delays; discrete systems; neurocontrollers; radial basis function networks; robust control; uncertain systems; variable structure systems; delay compensation; discrete systems; output assistant control quantity; plant model error; radial basis function neural nets; robust sliding mode control; stochastic network delay; time-variable delay; uncertain networked control system; Communication system control; Control systems; Delay effects; Delay estimation; Networked control systems; Neural networks; Robust control; Sliding mode control; Stochastic systems; Uncertainty; RBF neural network; delay; disturbance; networked control system; sliding mode control;
Conference_Titel :
Robotics, Automation and Mechatronics, 2008 IEEE Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1675-2
Electronic_ISBN :
978-1-4244-1676-9
DOI :
10.1109/RAMECH.2008.4681512
