本文根据变量泵的具体情况，为其设计了自适应的神经网络模糊控制器，实现了变量泵的智能控制。
This paper describes that the combination of neural networks and fuzzy controller make the designing an intelligent controller for variable piston pumps become feasible and realistic.
提出利用直接自适应模糊神经网络控制一类不确定非线性混沌系统新方法。
A novel direct adaptive fuzzy neural networks (FNNs) controller for a class of uncertain nonlinear chaotic system is presented.
本文提出了一种基于改进的神经网络(MNN)的自适应闭环功率控制算法，该方法平滑了移动信道衰落的影响，使基站接收到的小区中所有用户的信号功率相等。
In this paper, a Modified Neural Network (MNN) based power controller is proposed to smoothen out the fast fading and keep the received signal power from each user constant at the base station.
通过在控制过程中分别对控制网络和模型网络进行自适应，解决了控制对象参数的时变问题，显著改善了整个系统的鲁棒性。
With separately adapting of the control network and the model network in control, the problem of time-variance of plant parameters is solved, and the robustness of whole system is improved obviously.
结果表明，相对于常规PD控制器，该神经网络控制器具有自学习、自适应功能，位置跟踪获得了满意的控制效果。
The simulation results prove that the neural network controller has self-learning and self-adaptive ability by comparison with PD controller. The position tracking control obtains satisfactory effect.
其主要特点是能够提供一个跟踪网络来辩识系统模型，进而确定控制器的网络参数，实现间接自适应神经网络控制。
Its major feature is that it can provide a tracing network to identify system model so as to determine the network parameters of the controller and realize an indirect adaptive neural network control.
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 presents a novel nonlinear adaptive control method based on trajectory linearization control method (TLC) and neural networks.
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。
The second method is the adaptive control by using neural networks based on online secondary path modeling.
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。
An adaptive back stepping control method based on neural networks is presented for a class of nonlinear systems.
本文最后对人工神经网络自适应力控制技术进行了探讨。
In the end, adaptive force control of artificial neural network is approached.
本文针对船舶操纵这种非线性、时变参数控制对象，提出了一种采用神经网络自适应PID控制方案。
In this paper, according to nonlinear and time-varying parameter of ship maneuvering, the scheme of neural network adaptive PID control is proposed.
提出了一种自适应r BF神经网络功率控制方案。
An adaptive radial basis function neural network (ARBFNN) power control scheme is proposed.
提出一种基于遗传算法的神经网络非线性自适应控制方案。
This paper presents a kind of adaptive neural network nonlinear systems control method based on genetic algorithms.
针对包装印刷传动位置伺服系统，介绍一种基于共轭梯度学习算法的神经网络自适应PID控制方法。
The paper proposes an adaptive neural network PID controller based on weighlearning algorithm using the gradient descent method for the AC position servosystem of binding and printing.
基于数据融合的思想，提出一种非线性系统的自适应神经网络模糊控制器的设计方法。
Based on data fusion method, an adaptive neuro-fuzzy controller of nonlinear systems is presented.
在反馈学习算法的基础上，将模糊逻辑和神经网络自适应控制的结构结合在一起。
The neural network-based adaptive control and fuzzy logic are integrated based on feedback learning algorithm.
提出一种在用户-网络接口处利用对角递归神经网络(DRNN)作为自适应预测器，实现AT M网络自适应拥塞控制的模型。
This paper presents an adaptive congestion control model in ATM networks at the user to network interface by using a diagonal recurrent neural network (DRNN) as an predictor.
介绍了因特网上一种端到端的MPEG - 4视频网络传输结构的自适应码率控制方案。
This paper addresses an adaptive rate control scheme for MPEG-4 video based on an end-to-end architecture over Internet.
本文研究一类非线性神经网络自适应控制系统，提出一种基于双误差——辨识误差和跟踪误差的新控制方案。
A class of nonlinear neural network adaptive control systems is studied and a new design concept based on double errors was proposed in this paper.
本文提出了用神经网络模型参考自适应控制器对加工过程进行控制的方法。
This paper proposes a method of using neural network model reference adaptive controller to control machining process.
提出了一种用于动力学都分已知柔性连杆机器人的多速率神经网络自适应混合控制墨。
A multirate composite neural controller is presented in this paper for the trajectory tracking control of a flexible-link robot with a partially known nonlinear dynamics.
仿真结果表明，神经网络、自适应逆控制方法可以成功地解决装置中现有的控制问题，并取得良好的效果。
The results of simulation show that the existing control problem of the plant can be successfully solved by neural network, adaptive inverse control and the result is good.
针对传统的PID控制算法很难获得比较理想的控制效果的问题，提出一种基于BP神经网络的自适应pid控制算法。
Aiming at the problem of traditional PID control algorithm is difficult to get ideal control effect, an adaptive PID control algorithm based on BP neural network is proposed.
本文首先引入一个能方便进行在线自适应的扩展控制对象自适应神经网络模型，在此基础上提出一种噪声有源控制的自适应神经网络方法。
This paper firstly introduces an extended plant adaptive neural network model which can be on-line adapted conveniently, then presents a method of active noise control using adaptive neural networks.
首先根据模型参考自适应控制理论，将模型逆与在线神经网络结合，设计了神经网络自适应姿态控制系统。
The neural network adaptive attitude control system is designed based on model reference adaptive control theory and combination of online neural network with augmented model inversion.
本文介绍了自适应神经模糊网络控制系统的结构，并在此基础上重点介绍了自适应神经模糊系统及其MATLAB实现。
This text has introduced the structure of the fuzzy network control system of adaptive nerve, and has recommended especially fuzzy system and MATLAB of the adaptive nerve are realized on this basis.
研究了非线性的神经网络模型参考自适应控制器设计问题。
The design of adaptive controller for the chaotic neural network model reference is studied.
针对混沌系统的控制问题，提出了一种基于神经气网络的模糊多模型自适应控制方法。
Aiming at chaotic system, this paper proposes a multi-model adaptive control strategy based on a neural-gas network with fuzzy logic.
针对混沌系统的控制问题，提出了一种基于神经气网络的模糊多模型自适应控制方法。
Aiming at chaotic system, this paper proposes a multi-model adaptive control strategy based on a neural-gas network with fuzzy logic.
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