针对单个BP神经网络作为预测模型时，递推多步预测误差积累大的缺点，本文提出多BP神经网络并行预测控制算法。
As the recursive error is accumulated largely when the single BP network is regarded as predictive model, we propose the paratactic predictive control algorithm based on multi-BP networks.
提出了一种基于多步递推预测的广义预测自适应控制算法。
In this paper, a generalized predictive adaptive control algorithm based on multi-step regressive predication is presented.
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