带神经网络辨识器的鲁棒控制器设计。
该辨识器结构简单，辨识的定子电阻误差较小。
The estimator is simple in construction and the error of stator resistance is small.
bp作模型辨识器，用单神经元控制器控制输入通道。
BP is used as model identifier, and its input channel is controlled single nerve cell controller.
然后，本文又对神经网络实现速度辨识器的可实现性进行论证。
Secondly, this dissertation also demonstrates the feasibility of realizing the speed identification through neural network.
内回路采用常规比例调节器，外回路采用带辨识器的单神经元pid控制器。
The inner loop USES a general proportion adjuster and the outer loop USES a single neuron PID controller with identification implement.
介绍一种基于模糊控制理论的定子电阻辨识器的直接转矩控制交流电机调速系统。
This paper presents a kind of direct torque control with a stator resistance estimator for an AC motor speed-governing system based on fuzzy logic control.
提出了一种带模糊补偿的神经网络辨识器，并应用在某型涡扇发动机转速控制系统中。
A new neural network algorithm with fuzzy logic compensation was proposed and applied to an aero-engine rotating speed control system.
采用动态对角回归神经网络作为辨识器和控制器，实现了机器人轨迹跟踪的最小误差控制。
Using dynamic recurrent neural networks as identification and controller, the minimum error control of robot tracking the idea locus is implemented.
根据电液伺服系统的故障特点，本文提出了采用模糊神经网络做在线辨识器的容错控制方案。
According to fault characteristic of the electro hydraulic servo system, this paper has proposed a fault tolerant project that USES the fuzzy neural network as an identifier on-line.
针对不确定非线性混沌系统，提出了一种基于动态神经网络辨识器的自适应跟踪控制新方法。
An adaptive tracking controller based on dynamical neural network identifier for uncertain nonlinear chaos systems is presented.
辨识器采用RBF神经网络结构和最近邻聚类算法，实现了对系统逆动力学模型的动态辨识。
The system identifier based on RBF neural network which applies nearest neighbor clustering algorithm realizes the identification of the inverse dynamic system model.
提出一种基于动态递归神经网络的自适应pid控制方案，该控制系统由神经网络辨识器和神经网络控制器组成。
This paper presents an adaptive PID control scheme based on dynamic recurrent neural network. The control system is consisted of the neural network identifier and the neural network controller.
提出一种基于动态递归神经网络的自适应pid控制方案，该控制系统由神经网络辨识器和神经网络控制器组成。
An adaptive PID control scheme based on dynamic recurrent neural network is presented. The control system is consisted of the neural network identifier and the neural network controller.
罗伯茨说，通过将声音转变为数字编号，他的计算器可以辨识出低音和高音的频率。
By converting sound into a numerical sequence, he says his calculator can recognize frequencies for bass and treble.
在现有音道中，系统辨识出像落雨声那样的无方向性声音并把它们传送给新的扬声器。
In existing soundtracks, the system recognizes nondirectional sounds like falling rain and sends them to the new speakers.
而由加州伯克利的劳伦·斯里·弗莫尔国家实验室(theLawrence Livermore National Laboratory)研制的一款生物传感器，则可以辨识出大约2000种病毒和900种细菌。
And a biosensor developed at the Lawrence Livermore National Laboratory in Berkeley, California, can identify about 2, 000 viruses and 900 bacteria.
针对感应同步器测角系统，提出了一种自动检测测角误差、辨识误差模型系数和补偿误差的方法。
A method that measuring angular displacement error, identifying parameters of error model and compensating error automatically was put forward based on inductosyn angular measuring system.
采用最小二乘辨识方法，得到感应同步器测角误差模型的系数。
The parameters of error model were identified by the least square method.
深入研究了基于解析冗余技术的传感器故障检测、分离与辨识方法，并用实验评价该方法的性能。
The method of detection, isolation and identification of sensor faults based on analytical redundancy is studied deeply. And the performance of the method using examples is evaluated.
本文介绍了一种可互换模型参考自适应方法实现对电机转速和定子电阻的辨识，并将其应用于异步机的无速度传感器直接转矩控制中。
A mutual model reference adaptive method for the rotor speed and stator resistance identification is proposed in this paper to implement a speed sensorless direct torque control of induction motors.
用状态观测器方法构造同步混沌接收系统，根据最速下降法辨识未知参数。
A synchronous chaotic receive system was constructed by a state observer method, and the unknown parameters were identified by steepest descend method.
本文提出基于系统辨识和参考模型的调速器PID参数优化方法。
A new PID controller optimization design scheme based on system identification and reference model is proposed.
本文提出了一种用遗传算法(GA)辨识加速度传感器动态效学模型参数的新方法。
In this paper, a new method is proposed to identifying the dynamic mathematical model parameters of an accelerometer using genetic algorithms (GA).
外环的设计则引入自校正控制器——零极点配置控制器（含实时参数辨识）。
The outer loop's design is to use a self tunning regulator such as zero pole placement (with real time identification).
由SVM辨识的逆模型作为前馈控制器，形成直接逆模型控制器。
SVM based inverse model of nonlinear system is used as feed-forward controller to form direct inverse model controller.
由SVM辨识非线性系统的逆模型作为前馈控制器，形成直接逆控制。
SVM were used to identify the inverse model of nonlinear system, and this inverse model was used as feed-forward controller to design direct inverse control.
仿真结果表明，所提出的方法能够正确地辨识核动力蒸汽发生器的水位特性，且具有较高的辨识精度。
The proposed method that can identify the characteristic of NSG water level correctly and has enough precision of identification is demonstrated by computer simulation.
研究了非线性连续—离散系统极大似然估计方法的实现及其在飞行器气动参数辨识中的应用问题。
The implementation of maximum likelihood estimation method to the nonlinear continuous ?discrete systems and application to aerodynamic parameter identification for vehicle are studied.
研究了非线性连续—离散系统极大似然估计方法的实现及其在飞行器气动参数辨识中的应用问题。
The implementation of maximum likelihood estimation method to the nonlinear continuous ?discrete systems and application to aerodynamic parameter identification for vehicle are studied.
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