带神经网络辨识器的鲁棒控制器设计。
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.
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.
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.
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.
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.
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.
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.
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.
提出了一种基于CMAC神经网络控制系统，该系统由CMAC神经网络控制器和BP模型辨识网络组成。
This paper presents a neural network control system based on CMAC, which consists of a CMAC neural network controller and a BP network model identifier.
该控制器用具有改进学习算法的神经网络作pid参数调节器，用模糊神经网络对被控对象进行模型辨识。
In this controller, an improved study algorithm is adopted as the PID parameter regulator, and a fuzzy network is employed to identify the controlled objects.
介绍了异步电动机矢量控制系统神经网络速度控制器的设计方法；同时提出了将开环直接计算与模型参考自适应方法相结合的神经网络混合转速辨识模型。
And a new hybrid speed identification method is also proposed, which based on the neural network, combines the open loop estimator and the instantaneous reactive power model reference adaptive system.
介绍了异步电动机矢量控制系统神经网络速度控制器的设计方法；同时提出了将开环直接计算与模型参考自适应方法相结合的神经网络混合转速辨识模型。
And a new hybrid speed identification method is also proposed, which based on the neural network, combines the open loop estimator and the instantaneous reactive power model reference adaptive system.
应用推荐