The analog neural controller can be applied in the control systems of robots.
该模拟神经控制器能应用于机器人控制系统中。
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。
We put forward effective Structure diagrams of motor drive systems using Fuzzy Control, Expert Control and Neural Conrol.
分别给出了模糊控制、专家控制和神经控制用于电机拖动系统的行之有效的结构形式。
An internal model control strategy is proposed to a class of open loop stable nonlinear systems described by fuzzy neural networks.
针对一类开环稳定的非线性系统，提出了一种基于模糊神经网络的非线性内模控制方案。
A scheme of adaptive control based on recurrent neural network is presented for a class of nonlinear systems only with a nonlinear part.
基于递归神经网络给出了仅含一个非线性环节的一类非线性系统的自适应控制方案。
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。
An artificial neural network theory for the control of wind power systems is proposed.
提出一种用于风力发电控制系统的人工神经网络。
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。
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。
This paper presents a class adaptive pole assignment control of servo systems based on neural state estimation and develops the system structure and the weight learning algorithms.
提出了一类基于神经元状态估计器的自适应广义极点配置控制，研究了该控制系统的网络结构和权值学习方法。
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。
On the basis of summarizing the use of neural networks in the control of chaotic systems, three kinds of neural networks approaches to control chaotic system are presented.
在对控制混沌系统的神经网络方法进行综述的基础上，给出了三种利用神经网络控制混沌系统同步的方法。
B-spline neural network is a three layer feedforward neural network and can be used in modeling, control, pattern recognition for nonlinear systems and other fields.
样条神经网络是一个三层前向神经网络，可广泛用于非线性系统的建模、控制和模式识别等领域。
This paper USES the principle of decomposition-coordination for large-scale systems, fuzzy theory and neural networks technique to solve the real time arterial coordinated control problem.
利用大系统的分解-协调思想、模糊理论和神经网络技术来进行城市交通干线的实时协调控制。
Based on the sensitivity of neural network of system identification, a method of descending neural network sensitivity in control systems is proposed in this paper.
基于系统辨识的神经网络灵敏度，提出了降低用于控制系统中神经网络灵敏度的一种方法。
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。
We present a new neural net based self tuning control which can effectively control complicated multivariable nonlinear systems.
建立了一种新型的神经网络自校正预测控制器，可有效地控制复杂的多变量非线性系统。
The result shows that the neural PID control strategy is more robust than conventional one and is suitable for the control of variable-frequency air conditioning systems.
结果表明，神经元PID控制较常规PID控制具有更好的鲁棒性，更适合用于变频空调系统的控制中。
A stable adaptive control approach using dynamic neural networks has been developed for a class of multi input multi output MIMO sampled data nonlinear systems with unknown dynamic nonlinearities.
研究了一类采样数据非线性系统的动态神经网络稳定自适应控制方法。
Has been widely used in function optimization, training neural networks, fuzzy systems control, and other fields.
目前已广泛应用于函数优化，神经网络训练，模糊系统控制等领域。
A traffic pattern recognition method of elevator group control systems based on fuzzy neural networks is presented in this paper.
介绍采用模糊神经网络进行电梯群控系统交通模式识别的方法。
Put forward one idea of fuzzy neural networks using to distinguish and forecast non-linearity systems of SARS epidemic situation. The method can generalize to defend and control on apiece epidemic.
提出了模糊神经网络用于SARS疾病疫情非线性系统建模和预报的思想，该方法可以推广到各种流行性疾病的预防和控制中。
If there is chaos oscillation in the power systems, a fuzzy-neural forecast controller is designed and forecast control is realized to the chaos oscillation.
如果判断出系统存在混沌现象，则设计模糊神经网络预测控制器，实现了对电力系统混沌振荡的预测控制。
Course topics explores the relations between neural systems and cognition, emphasizing attention, vision, language, motor control, and memory.
C课课程议题在探索神经系统和认知的关系；著重在注意力、视觉、语言、动作控制和记忆。
Numerous simulation studies have recently revealed the potential benefits of a neural network-based approach to direct adaptive control in the design of flight control systems.
最近，大量的模拟研究揭示了一个基于神经网络的方法，直接自适应控制在飞行控制系统的设计带来的潜在利益。
On the basis of summing up existing methods for vibration control on the suspension systems, emphases are put on the discussion of application of fuzzy control, neural n...
在综述了现有的各种悬架控制方法基础上，着重论述了模糊控制、神经网络控制、模糊神经网络控制等方法在车辆悬架控制系统中的应用。
A plan of model reference adaptive tracking control for nonlinear systems is introduced based on neural network dynamic inversion (NNDI).
基于神经网络动态逆方法，给出了一种非线性模型参考自适应跟踪控制方案。
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。
Based on RBF neural networks and backstepping control techniques, a nonlinear adaptive controller design method is proposed for missile control systems with a general set of uncertainties.
在导弹系统存在广义不确定性情况下，提出了一种基于反演设计技术和RBF神经网络的导弹非线性自适应控制系统设计方法。
In this paper, research concentrates on the neural network control of chaotic systems in electronics and circuits systems, including two fields: chaotic systems identification and chaotic control.
本文研究了电子和电路系统存在的混沌现象的神经网络控制问题，其中包括两个方面的内容：混沌系统的神经网络辨识技术和基于神经网络的混沌控制。
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