A novel neural networks control approach for manipulator with flexible end link was proposed.
提出了一种末杆为柔性杆的机器人的新型神经网络控制方法。
At last, it turned out that the research results are of guiding significance to neural networks control system designs.
研究结果对前馈网络控制系统设计有指导意义。
Secondly, two neural networks controllers for the ramp control are developed, which are the direct controller and the PI controller.
其次，论文设计了两种用于入口匝道控制的神经网络控制器——直接型和积分型。
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 brings the fuzzy neural network algorithms into the call admission control in ATM networks. The simulation result shows that it has better effect than usual algorithms.
本文采用模糊神经网络算法对AT M网络进行连接接纳控制，仿真结果表明它比传统的算法有更好的效果。
A new method of neural fuzzy predictive control using ordered neural networks and a improved fuzzy controller is presented.
本文使用有序神经网络和改进的模糊控制器构成了一种新型的神经模糊预测控制方法。
Then, the neural networks model is applied to identify and process input data, design suitable networks layer for the vehicle longitude dynamics system control.
利用神经网络模式识别能力对输入数据处理辨别，设计合适的控制网络层对汽车纵向动力学系统实施控制；
Neural Networks, an embranchment of nonlinear control which does not dependent on mathematic model, is adapt to controlled systems of uncertainties and highly nonlinear.
神经网络控制是非线性控制的一个分支，它基本上不依赖于系统的数学模型，比较适合于具有不确定性和高度非线性的被控对象。
RBF Neural Networks (NN) based control strategy is proposed to compensate the disturbance moment.
提出了一种基于RBF网络扰动力矩补偿的控制技术。
This paper surveys the application of neural networks in flight control system, and analyzes the difficulties in application.
本文概述了神经网络在飞行控制系统中的应用，并分析了应用中的困难。
Using dynamic recurrent neural networks as identification and controller, the minimum error control of robot tracking the idea locus is implemented.
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。
The application of multi-layer neural networks in the prediction and control of lead-screw grinding is discussed.
最后，介绍了多层神经网络模型在丝杠螺纹磨削过程的预测与控制中的应用。
This way combines fuzzy control with neural networks to build the model of control system.
这种方法把模糊控制和神经网络相结合进行控制系统的建模。
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。
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。
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。
Aiming at dynamic model uncertainties and load disturbances of robot manipulators, an iterative learning control scheme using neural networks is presented.
针对机器人动力学模型的不确定性和负载扰动，提出了一种采用神经网络的机器人迭代学习控制方法。
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。
At the same time, using the study and memory ability of neural networks, optimize subject function and control rules of control variables, which makes the control scheme more reasonable.
同时，应用神经网络的学习和记忆功能，对控制变量的隶属函数和控制规则进行优化，使控制方案更趋于合理。
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。
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。
The principle and structure of neural networks temperature control system are discussed. An application in center air adjusting control is presented.
论证了神经网络温度控制系统结构及其控制原理，并阐述了该系统在中央空调中的应用。
Propose a new approach to generate chaos via dynamic neural networks according to inverse optimal control for nonlinear systems.
根据逆最优控制方法，针对非线性系统，提出了利用动态神经网络产生混沌的一种新方法。
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。
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。
The principle and structure of neural networks temperature control system are discussed. An application in center air adjusting control is presented. The simulation results prove its validity.
论证了神经网络温度控制系统结构及其控制原理，并阐述了该系统在中央空调中的应用。仿真结果证明了其应用的可行性。
By using the control strategies of fuzzy logic and neural networks, a new control algorithm was designed to solve the control problems.
采用模糊逻辑和神经元网络控制策略，设计了新的控制算法来解决阀控马达控制问题。
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。
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。
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