基于修正CPN模型的模糊预测控制

本文通过修正ＣＰＮ模型，提出了一种模糊多步预测控制算法。该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，所以学习速度快，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，适于解决非线性时滞问题，仿真结果证明了算法的有效性。

Fuzzy Predictive Control Based On the Modified CPN Model

Through modifying the CPN model, a kind of fuzzy multistep predictive control algorithm is proposed in this paper. 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 based on the model is simple, adaptive and useful in nonlinear and time delay field. Simulation shows that the method is effective.