This paper presents a kind of adaptive neural network nonlinear systems control method based on genetic algorithms.
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 proposes a method of adaptive neural network based on constraint satisfaction for Job Shop Scheduling Problem.
提出了用于解决作业车间调度问题的离散版粒子群算法。
And it proposes an indirect adaptive neural network law. This law optimizes the control structure and improves the quality of control.
针对悬架系统的辨识和控制过程，本文提出一种神经网络间接自适应控制方法，优化了控制结构，提高了控制精度。
The problem of direct adaptive neural network control for a class of interconnected systems with unknown constant control gains is studied in this paper.
研究了一类具有未知常数控制增益的耦合大系统的直接自适应神经网络控制问题。
The adaptive neural network has a potential ability of PCS redesign and maintenance of handling quality, following unexpected part failures and battle damage.
在某些部件部分意外失效或战损情况下，自适应神经网络具有实现控制的在线快速重新配置、保持飞行品质的潜力；
Finally, an adaptive noise cancelling system is designed as an example and the computer simulation results show the superior performance of the adaptive neural network filters.
最后以自适应噪声对消系统为例，进行了计算机仿真，结果显示了这种滤波器的良好性能。
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.
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。
In order to solve the problems of feature extraction and calibration modeling in the area of quantitatively infrared spectral analysis, a structural adaptive neural network is proposed.
为了解决红外光谱定量分析中的特征提取和校正规模问题，提出了一种输入层自构造神经网络。
An adaptive neural network attitude control system is designed based on model reference adaptive control theory and combination of online neural network with augmented model inversion in this paper.
本文根据模型参考自适应控制理论，将旋转动力学逆与在线神经网络结合，设计了自适应姿态控制系统。
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.
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。
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.
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。
This paper presents a compound neural network model, i. e., adaptive fuzzy neural network (AFNN), which can be used for identifying the complicated nonlinear system.
该文提出一种用于复杂的非线性未知系统辨识的混合神经网络模型—自适应模糊神经网络(AFNN)。
Adaptive linear neural network is used for detecting the distortion currents of nonlinear loads.
本文将自适应线性神经网络理论应用于非线性负载电流中畸变电流的检测。
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.
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 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.
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。
Based on self adaptive noise countervailing method and artificial neural network (ANN) theory, this paper proposes a new approach to the dynamic detecting harmonics.
基于自适应噪声对消技术及人工神经网络(ANN)理论，提出了一种谐波电流动态检测方法。
Introduction was made to a neural network robust adaptive controller, which can be applied in model unknown control system.
介绍了神经网络自学习鲁棒自适应控制器，该控制器可以应用在模型未知的控制系统中。
The design of adaptive controller for the chaotic neural network model reference is studied.
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。
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。
This paper proposes a method of using neural network model reference adaptive controller to control machining process.
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。
Each subsystem is designed using adaptive control with neural network compensation. The stability of the system is guaranteed by the proposed parameter and weight turning law.
各控制子系统的设计采用自适应控制和神经网络相结合的方法，所提出的参数和权重的自适应调整律保证系统的稳定性。
A nonlinear direct adaptive controller based on online neural network and feedback linearization is designed by precondition of all state feedback.
在全状态反馈的前提下，设计了一种基于在线神经网络和反馈线性化的非线性直接自适应控制器。
In this paper, according to nonlinear and time-varying parameter of ship maneuvering, the scheme of neural network adaptive PID control is proposed.
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。
This paper presents a new adaptive phase selector with an adaptive resonance theory (ART) based neural network.
提出一种新的基于自谐振神经网络结构的自适应故障选相元件。
By using the methods of subtraction clustering and adaptive fuzzy neural network, a sort of motion planner for the underwater vehicle was designed.
使用减法聚类和自适应模糊神经网络方法设计了一种水下机器人运动规划器。
An adaptive radial basis function neural network (ARBFNN) power control scheme is proposed.
提出了一种自适应r BF神经网络功率控制方案。
A new neural network adaptive control scheme is presented and its applications to aero-engine control system are researched.
本文研究神经网络自适应控制方法及其在航空发动机控制中应用。
A new neural network adaptive control scheme is presented and its applications to aero-engine control system are researched.
本文研究神经网络自适应控制方法及其在航空发动机控制中应用。
应用推荐