当前研究的目标是设计并实现一个基于神经网络广义预测控制的合适算法。
The objective of the current study is to design and implement a proper algorithm based on NN generalized predictive control (GPC).
本文提出了两种改进算法：基于LM优化的神经网络广义预测控制和基于跳步预测的多网络并行广义预测控制。
Two improved algorithm were proposed: neural network generalized predictive control based on LM optimizer and multi parallel network generalized predictive control based on jump predictive.
本文提出了一种基于广义预测控制和智能神经网络的新型控制方法。
In this paper, a new control method based on predictive control and neural network of intelligent control is proposed.
文中依据非线性舰船模型，应用模糊神经网络简化出适应于舵减横摇控制器设计的模糊线性模型，并设计了广义预测控制器。
According to the nonlinear model of ship, a predigested fuzzy linear model is built adapted to rudder roll stabilization using fuzzy neural networks.
文中依据非线性舰船模型，应用模糊神经网络简化出适应于舵减横摇控制器设计的模糊线性模型，并设计了广义预测控制器。
According to the nonlinear model of ship, a predigested fuzzy linear model is built adapted to rudder roll stabilization using fuzzy neural networks.
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