DocumentCode
2254436
Title
Iterative predictive control method for batch system based on recurrent fuzzy neural networks model
Author
Huimin, Xu ; Xuedong, Zhang ; Xiangjie, Liu
Author_Institution
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
fYear
2015
fDate
28-30 July 2015
Firstpage
4191
Lastpage
4196
Abstract
Aim at model identification and predictive control problems existing in nonlinear industrial processes, this paper proposes a linear fuzzy neural network model which approach to original formula of the nonlinear system in the time index, then on this basis, a novel iterative predictive control algorithm is put forward to achieve effectively tracking performance in spite of model errors and disturbance. The simulation results show the effectiveness and feasibility of the algorithm.
Keywords
Batch production systems; Convergence; Indexes; Prediction algorithms; Predictive control; Predictive models; Trajectory; Convergence; Iteration predictive control; Recurrent fuzzy neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2015 34th Chinese
Conference_Location
Hangzhou, China
Type
conf
DOI
10.1109/ChiCC.2015.7260285
Filename
7260285
Link To Document