A nonlinear internal model control (IMC) strategy based on radial basis function (RBF) network models was proposed for bulk polymerization of styrene.
文中研究基于径向基(RBF)神经网络算法的内模控制策略在苯乙烯本体聚合反应相对分子质量分布控制领域的应用。
Mathematical simulation has been performed by means of electronic computor for two types of ideal flow reactor systems used for the thermal bulk polymerization of styrene.
应用电子计算机对两种理想流动模型的苯乙烯本体热聚合反应器进行了初步数学模拟试验。
The results confirmed the distinct living polymerization character of the reaction system and showed that among the three obtained RAFT agents BDB was the best for styrene bulk polymerization system.
对聚合动力学和分子量的控制进行了研究。研究表明，此种苯乙烯本体聚合体系具有明显的活性自由基聚合特征。
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