神经网络预测控制是智能预测控制的一个重要组成部分。
Neural net predictive control is an important branch of the intelligent predictive method.
针对一类具有特殊模型的非线性系统本文提出了一种新型神经网络预测控制算法。
A novel neural network predictive control algorithm is proposed for a class of nonlinear system with special model.
针对非线性系统的控制问题，提出了一种采用黄金分割法的神经网络预测控制算法。
For the control of nonlinear system, a neural network predictive control strategy based on Golden Section Algorithm is presented.
应用模糊控制的逻辑推理性能，借助神经网络的学习能力，提出了一种模糊神经网络预测控制模型。
A fuzzy neural network prediction control model is stated by using the logic inference performance of fuzzy control and the learning ability of neural network.
在此基础上，又设计了模糊神经网络预测控制器，实现了对非线性、大时滞系统高精度的自适应控制。
On the basis of this, a fuzzy-neural forecast controller is designed and robust adaptive control to the nonlinear big-lagged chaos system is realized.
如果判断出系统存在混沌现象，则设计模糊神经网络预测控制器，实现了对电力系统混沌振荡的预测控制。
If there is chaos oscillation in the power systems, a fuzzy-neural forecast controller is designed and forecast control is realized to the chaos oscillation.
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。
A new method of neural fuzzy predictive control using ordered neural networks and a improved fuzzy controller is presented.
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。
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.
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。
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.
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).
在分析驾驶员行为特性和行为操纵的基础上，根据预测跟随理论，建立了驾驶员预测控制神经网络（ANN）模型；
Based on the analysis of pilot behavior character a nd control mode, the predictive control ANN (artificial neural network) model is established according to the theory of prediction-following.
本文用已建立的发动机神经网络怠速模型，并采用DMC预测控制算法，完成了怠速控制的仿真研究。
By using the founded neural network model and DMC predict control algorithm, simulation research has been completed on the idle speed control in this pape.
本文设计了基于神经网络技术的预测控制系统，包括控制对象模型的设计、预测模型的设计和控制器的设计。
The design of the predictive control system based on Neural Network include designing control object model, designing predictive model and designing controller model.
以某厂羟胺反应器的氢离子浓度控制为例，介绍了径向基函数（RBF）神经网络在强非线性对象预测控制中的应用及仿真研究结果。
The application of RBF neural network in hardy nonlinear system and the result of simulation is introduced. An example of pH control in hydroxylamine reactor is described.
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.
针对造纸工业传统控制中存在精确度低的问题，提出了利用人工神经网络进行预测控制的方法。
The artificial neural networks is introduced to solve the problem that precision of conventional control is weak in the papermaking industry.
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。
The paper presents a neural networks predictive control algorithm based on the advantage of neural networks and predictive control.
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.
建立了一种新型的神经网络自校正预测控制器，可有效地控制复杂的多变量非线性系统。
We present a new neural net based self tuning control which can effectively control complicated multivariable nonlinear systems.
为了克服这种不协调现象，针对涂料生产线中温度控制大滞后、非线性等特点，本文在神经网络PID控制的基础上，引入预测控制思想。
To overcome the mismatch, with the backward, non-linear characteristics of temperature control of dope production, the paper introduces the predictive controls based on the neural network PID.
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.
本文以传统PID控制器为基础，结合神经网络与预测控制，针对非线性系统提出了在PI D型预测性能指标函数下的控制方法。
In this paper, by utilizing the conventional PID controller and predictive control theory, the method is proposed under the PID-type predictive cost function.
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。
A constrained nonlinear control algorithm is proposed which combining neural networks identifying, GA optimizing and the idea of predictive control.
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.
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。
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。
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.
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