This paper put forward a design principle and realization method for frequency conversion alternative motor controller based on neural networks control technology.
论述了基于神经网络控制技术的交流变频调速控制器的设计原理和实现方法。
This paper presents a novel nonlinear adaptive control method based on trajectory linearization control method (TLC) and neural networks.
基于轨迹线性化方法(TLC)及神经网络技术研究了一种新的直接自适应TLC控制方案。
This paper puts forward a parameter self-tuning fuzzy controller based on two neural networks to actualize intelligent control of the activated sludge process.
本文提出一种基于两个神经元网络的模糊参数自校正控制器，实现活性污泥过程的智能控制。
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。
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 robot model reference adaptive control method based on neural networks is presented.
提出一种新的基于神经网络的机器人模型参考自适应控制方法。
This thesis focuses on the intelligent control strategies based on fuzzy logic and neural networks and its application in motion control.
本文的研究内容是基于模糊逻辑和人工神经网络的智能控制策略及其在运动控制中的应用。
Inverse system method for nonlinear control based on neural networks was employed to solve the nonlinearity of the pneumatic artificial muscles.
运用非线性控制的逆系统方法，提出了一种基于神经网络的人工肌非线性控制方案。
The second method is the adaptive control by using neural networks based on online secondary path modeling.
第二种方法则是基于误差通道在线辨识的神经网络自适应控制方法。
Mill automation is based on models with neural networks for pass schedule calculation and computation of set points for roll shifting and bending, and parameters for dynamic flatness control.
轧机自动化以神经网络模型为基础进行道次表、弯辊和窜辊设定点、以及平直度动态控制参数的计算。
Based on neural networks, a robust control design method is proposed for strict-feedback block nonlinear systems with mismatched uncertainties.
针对非匹配不确定性的严反馈块非线性系统，基于神经网络提出一种鲁棒控制方法。
An adaptive back stepping control method based on neural networks is presented for a class of nonlinear systems.
文章针对一类非线性系统，研究了一种基于回馈递推法的自适应神经网络控制方法。
A simple adaptive control scheme for a yacht based on neural networks has been described.
本文描述了一个简单的基于神经网络的小型帆船自适应舵的控制方案。
A traffic pattern recognition method of elevator group control systems based on fuzzy neural networks is presented in this paper.
介绍采用模糊神经网络进行电梯群控系统交通模式识别的方法。
A new type of non linear self repairing control strategy based on model following method using radial basis function (RBF) neural networks is presented.
提出一种基于径向基函数(RBF)神经网络的模型跟随非线性自修复控制方法。
Based on RBF neural networks and backstepping control techniques, a nonlinear adaptive controller design method is proposed for missile control systems with a general set of uncertainties.
在导弹系统存在广义不确定性情况下，提出了一种基于反演设计技术和RBF神经网络的导弹非线性自适应控制系统设计方法。
The PID controller based on BP neural networks is designed to realize control parameter self-learning and self-adjusting.
设计了基于BP神经网络的PID控制器，实现PID控制器参数自学习、自整定。
Finally, the construction control of cable-stayed bridge based on BP neural networks is discussed and analyzed.
最后，本文对基于BP神经网络的斜拉桥施工控制进行了探讨。
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。
We study expert PID control, fuzzy adaptive PID control, RBF neural network PID control, internal control based on RBF neural networks.
研究了专家PID控制、模糊自适应PID控制、基于RBF神经网络整定的PID控制、基于RBF神经网络的内模控制。
An on-line control model for road tunnel with longitudinal ventilation was proposed based on neural networks and by combining traffic model, aerodynamics model and pollution model.
基于神经网络方法建立了公路隧道纵向通风在线控制模型，结合交通模型、空气动力学模型及污染模型，对隧道内污染物进行了通风控制过程的动态模拟。
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。
The first method is the adaptive control by using neural networks based on offline secondary path modeling.
第一种方法一是基于误差通道离线辨识的神经网络自适应控制方法。
A medicament dosage model of flotation process based on rough set theory and neural networks is proposed in this paper. It is compared with the medicament dosage model based on rough control theory.
结合粗糙集理论和神经网络的各自特点，提出了一种基于粗糙集一神经网络的浮选过程药剂用量数学模型，并且与基于粗糙集控制思想的浮选过程药剂添加模型进行了比较。
A medicament dosage model of flotation process based on rough set theory and neural networks is proposed in this paper. It is compared with the medicament dosage model based on rough control theory.
结合粗糙集理论和神经网络的各自特点，提出了一种基于粗糙集一神经网络的浮选过程药剂用量数学模型，并且与基于粗糙集控制思想的浮选过程药剂添加模型进行了比较。
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