Because of the disadvantages of traditional PID controller, we used a new single neuron control.
针对传统PID控制的缺点，引入单神经元pid控制。
In accordance with the seriously nonlinear controlled objects, a fuzzy-neuron control scheme is proposed.
针对具有严重非线性的受控对象，提出了一种模糊-神经元控制方法。
The implementation method of a neuron controller based on integral separation PID control algorithm is introduced.
介绍一种基于积分分离pid控制算法的神经元控制器实现方法。
To the hydroelectric generating units with uncertainty, a fuzzy neuron control method based on immune tuning gain is proposed.
针对复杂、具有不确定性的水轮发电机组，提出了一种免疫算法自调整增益的模糊-神经元控制方法。
The main contributions given in this thesis are as follows: 1. A fuzzy-neuron control scheme is presented for nonlinear plants.
针对具有严重非线性的被控对象，提出了一种模糊-神经元控制方法。
Incorporating the fuzzy control and the neuron control, this paper has developed a new controller based on both fuzzy logic and neuron.
将模糊控制和神经控制相结合，设计出单神经元模糊自适应控制方案。
An adaptive neuron control method is presented. By use of this kind of controller, an intelligent control system is designed, and its learning rules are also presented.
该文给出了一种自适应神经元的控制方法，设计了神经元网络作为控制器的智能控制系统，给出了学习规则。
Presented substituting an intelligent single neuron controller for the traditional PID controller to improve the Field Oriented Vector control performance of induction motor.
文中提出了采用单神经元智能控制器代替传统PID控制器以改善异步电动机矢量控制的性能。
Neuron controller with nonlinear gain is applied in robot control system. It can overcomes some influence that the system inherent variable inertia and nonlinear, raises dynamic performance index.
把具有增益非线性的神经元应用于机器人控制系统中，克服了机器人系统固有的变惯性、非线性等因素的影响，提高了系统的动态性能。
The emulation and experiment results show that the single neuron controller can improve the Field Oriented Vector Control property of induction motor and has stronger self-adaptability and robustness.
仿真与实验结果表明，单神经元控制器可以改善异步电动机矢量控制的性能，具有较强的自适应性与鲁棒性。
Megalomianiacs like Qaddafi seek to control every neuron in their peoples' heads and to control every aspect of life.
像卡扎菲这样的自恋狂希望控制人们头脑中的每一根神经，控制人们生活中每一个角落。
According to the learning and control ways of Neuron, this paper presents a modified method, which is based on the guiding factor, for the learning rule of neural controller.
本文通过对神经元学习规则的探讨，提出了一种基于引导因子的神经元改进学习规则，并将其用于实际控制系统中。
The experimental group obviously surpassed the control group on neuron dropsy and reperfusion of vessel.
实验组神经元水肿、血管再灌注情况明显优于对照组。
An introduction of the basic principles of the neuron model-free control and the basicdesign methods of the fuzzy controller is given.
介绍了神经元非模型控制的结构和基本原理及模糊控制器的设计的两种基本方法。
According to the characteristics of switched reluctance motor drive system, a kind of adaptive neuron PID control method is proposed in this passage.
针对开关磁阻电机的特点，提出了神经元自适应PID控制的策略。
Its control node is formed by using VLSI NEURON and system is formed through network, it provides an-interoperable industrial product.
它采用高集成度的NEURON芯片构成控制节点，通过网络构成系统，提供了可互操作的工业产品。
In this paper, according to a single neuron PID adaptive control approach, the mechanics of its analog circuit is first discussed and a circuit realization block diagram are given.
本文根据神经元pid自适应控制方法，首先探讨了它的模拟电路的构成方法，并给出了一种电路实现框图。
The adaptive flux controller and speed controller based on neuron are presented for the induction motor vector control.
提出了基于神经元的用于感应电机矢量控制的自适应磁链和转速控制器。
Most LON nodes only contain a single processor of Neuron chip currently, so its control ability is not very strong.
目前大多数LON节点只具有单一的神经元处理器，其控制能力不高。
Combining it with the adaptive linear neuron network, the multiplex control strategy takes the dynamic errors and given signals of the system as input signals to the CMAC neural network.
该控制器以系统动态误差和给定信号量作为CMAC的激励信号，并与自适应线性神经元网络相结合构成系统的复合控制。
EGF signalling transduction in neuron has a signal integration and a complex self-adaptive control character.
结论EGF在神经元的信号转导中具有信号整合与复杂自适应控制的特征。
RBF network on line recognition, single neuron PID control and control algorithm are introduced.
介绍了RBF网络在线辨识、单神经元PID控制器和控制算法。
The control strategy unites single neuron PI control algorithm and the predictive model based on neural network. The output of the controller is determined by PI algorithm.
采用单神经元PI控制算法与神经网络预测模型相结合的控制策略，用PI控制规律来确定控制器的输出。
The results of simulation and experiments show that the single neuron adaptive PID control method is very good in improving following performance to ideal speed curve.
通过计算机仿真及其在实用电梯上的试验，结果表明基于单神经元自适应PID控制的方法，对提高电梯速度的跟踪性能有较好的作用。
The fuzzy neuron non-model algorithm and the NPID control algorithm are adopted to design the control systems for oil temperature and pressure.
利用模糊神经元非模型算法和NPID控制算法设计了油温控制系统和油压控制系统。
According to problems of plasma consistency with lag and big interference, a dynamic matrix prediction based on single neuron PID control algorithm is present.
针对配浆浓度控制过程存在的滞后、大干扰等问题，提出一种基于动态矩阵预测的单神经元pid配浆浓度控制算法。
The structure of single neuron PID controller for motion control and the fuzzy adaptive PID control based on BP networks are researched on.
探讨了用于运动控制的单神经元pid控制器的结构与基于BP网络的模糊自适应PID控制。
The wealthy peripherals and high speed calculation of DSP, and the neuron self adaptive control tactic are fully used to control systems.
充分利用DSP周边接口丰富、运算速度快的特点，采用神经元自适应控制策略对系统进行控制。
The wealthy peripherals and high speed calculation of DSP, and the neuron self adaptive control tactic are fully used to control systems.
充分利用DSP周边接口丰富、运算速度快的特点，采用神经元自适应控制策略对系统进行控制。
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