Model of temperature distribution in a tubular polymerization reaction is developed using a B-spline neural network,in which both dynamic and static network are applied to resolve the modeling of distribution function from a high dimensional data set.Based on this dynamic network model,a new-type generalized PI control algorithm has been studied.Then a control problem for distributed system is reduced to a tracking problem of nonlinear dynamic weights,which separates the time and the space effectively.In or...
【基金】
supported by the National Natural Science Foundation of China under Grant(Nos.60974031,61174128);
the Fundamental Research Funds for the Central Universities,China(No.ZZ1223)
【更新日期】
2012-10-16
【分类号】
TP13
【正文快照】
1 IntroductionThe molecular weight’s distribution(MWD)of thepolymer is one of the critical quality control variablesfor the industrial polymerization processes[1],which isdifficult to control directly for the lack of direct on-line measurement method[2].