Title :
Network predictive control based on FARIMA time-delay model
Author :
Song Yang ; Tu Xiaomin ; Dong Hao ; Fei Minrui
Author_Institution :
Dept. of Autom., Shanghai Univ., Shanghai, China
Abstract :
Due to the self-similar property of network time-delay, a delay prediction method based on fractional autoregressive integrated moving average (FRIMA) model is proposed. Then the prediction method combined with Smith predictor is applied to networked control system (NCS). Simulation results prove that this control strategy can avoid the negative impacts of the varying network induced delay on control performances, and provide good performances and strong robustness.
Keywords :
autoregressive moving average processes; delays; distributed control; multivariable control systems; networked control systems; predictive control; FARIMA time-delay model; NCS; Smith predictor; delay prediction method; fractional autoregressive integrated moving average; network predictive control; network time-delay; networked control system; self-similar property; Delay; Markov processes; Mathematical model; Networked control systems; Predictive models; Simulation; FARIMA model; Networked control system (NCS); Smith prediction;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244573
