The paper presents a neural networks predictive control algorithm based on the advantage of neural networks and predictive control.
结合神经网络和预测控制的优点，提出了一种神经网络模型预测控制算法。
A new method of neural fuzzy predictive control using ordered neural networks and a improved fuzzy controller is presented.
本文使用有序神经网络和改进的模糊控制器构成了一种新型的神经模糊预测控制方法。
In this paper, a one-step ahead predictive control algorithm based on wavelet neural networks is proposed for the gyro stability tracking system with high accuracy.
针对高精度陀螺稳定跟踪系统，提出了一种基于小波基函数神经网络的非线性系统的一步超前预测控制算法。
A constrained nonlinear control algorithm is proposed which combining neural networks identifying, GA optimizing and the idea of predictive control.
将神经网络辨识、遗传算法全局优化和预测控制思想有机结合，提出了一种新型控制器，用于带约束的非线性对象的控制。
In this paper, a one-step ahead predictive control algorithm based on Radial base Function (RBF) neural networks is proposed, which needs only one neural network.
提出一种基于径向基函数(RBF)神经网络的一步超前预测控制算法。
Actually it USES the neural networks as the predictive models to produce the predictive signals, the control law is solved by optimized algorithm, accordingly control nonlinear system.
其实质是用神经网络作为预测模型，产生预测信号，用滚动优化算法求出控制律，从而实现对非线性系统的预测控制。
WNN controller with the idea of neural networks inverse control is applied. Using multi-step predictive index function to train the weights of controller.
采用神经网络逆控制的思想设计小波神经网络控制器，引入多步预测性能指标函数对控制器权值进行在线训练。
The study of nonlinear predictive control based on artificial neural networks is carried out.
研究了基于人工神经元网络模型的非线性预测控制。
An algorithm of nonlinear predictive control method based on BP neural networks is proposed.
提出一种基于BP网络的非线性预测控制算法。
An algorithm of nonlinear predictive control method based on BP neural networks is proposed.
提出一种基于BP网络的非线性预测控制算法。
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