Model-based multivariable fuzzy adaptive controller for paper-making process

Through modifying the counter-propagation network (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 has the merits of fast learning and online self-organizing. 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.