DocumentCode :
1560667
Title :
Networked learning control based on Thrice Spline predictive algorithm and Neural Network
Author :
Jun Yi ; Minrui Fei
Author_Institution :
Sch. of Mechatronical Eng. & Autom., Shanghai Univ., China
Volume :
3
fYear :
2004
Firstpage :
1973
Abstract :
The propagation delay in networks has a great adverse effect on control based on networked learning. The composite control based on Thrice Spline predictive model and Neural Network adjustment on line is proposed, and the control simulation is put up for complex, time variety, nonlinear controlled object in FieldBus Smart Node. The simulation result shows that the adverse effect, which is caused by the network delay on the complex controlled object, can be better overcome, and good rapidity and stability can be achieved by adopting composite control strategy.
Keywords :
adaptive control; control system analysis; delays; field buses; learning systems; neural nets; predictive control; splines (mathematics); stability; adopting composite control; complex controlled object; composite control simulation; control system analysis; fieldbus smart node; network propagation delay; networked learning control; neural network; nonlinear controlled object; stability; thrice spline predictive model algorithm; Automatic control; Automation; Electronic mail; Field buses; Neural networks; Prediction algorithms; Predictive models; Propagation delay; Spline; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
Type :
conf
DOI :
10.1109/WCICA.2004.1341925
Filename :
1341925
Link To Document :
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