This thesis studies on the method of nonlinear multi-step predictive control based on neural networks.
本文对基于神经网络的非线性系统多步预测控制方法进行了研究。
参考来源 - 基于神经网络的非线性系统多步预测控制·2,447,543篇论文数据,部分数据来源于NoteExpress
本文通过修正CPN模型,提出了一种模糊多步预测控制算法。
Through modifying the CPN model, a kind of fuzzy multistep predictive control algorithm is proposed in this paper.
设计了确定性网络控制系统的输出反馈控制器和具有时延补偿功能的多步预测控制器;
The output feedback controller and multiple-step predicting controller for compensating time delay are designed.
实现了预测控制的三个环节:多步预测、滚动优化、反馈校正。
This method implements the three laches of GPC: multistep prediction, recursive optimization, feedback emendation .
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