摘要
Through modifying the CPN model, a kind of multivariable fuzzy model is put forward, and the matching fuzzy multistep predictive control algorithm is deduced based on the model. The modified model works in a competitive output manner which results in its local representation property. While studying on line, only a few parameters need to be regulated. So the model has the merits of fast learning and on line self organizing modeling. The control algorithm is simple, adaptive and useful in multivariable and time delay systems. Applying the algorithm in a paper making system, simulation shows its good effect.
通过修正ＣＰＮ模型，提出了一种多变量模糊模型，并基于该模型推导出相应的模糊多步预测控制算法．修正模型采取竞争输出方式，具有局部表示特性．在线学习，只需调整少量参数，所以学习速率快，可在线自组织建模．基于修正模型推导出的控制算法，简单，具有在线自适应性，适于解决多变量时滞问题．将此控制算法用于造纸过程，仿真结果证明了其良好的控制效果．
