该模拟神经控制器能应用于机器人控制系统中。
The analog neural controller can be applied in the control systems of robots.
该模拟神经控制器能用于直流与交流调速系统中。
The analog neutral controller can be applied to DC and AC speed governing system.
该模拟神经控制器能用于不确定对象的控制，为不确定系统控制提供了一种新的途径。
The analog neural controller can be applicable to the control of uncertain objects and provides a novel approach for the type of an uncertain control system.
该模拟神经控制器能用于不确定对象的控制，为不确定系统控制提供了一种新的途径。
The analog neural controller is suitable for the control over uncertain objects and provides a novel approach for a type of uncertain control system.
以呼叫管理控制为例，评估这种神经网络控制器的性能，并给出了模拟结果。
The performance of the proposed controller is evaluated by simulation of call admission control.
通过数字复合正交神经网络的连续化算法处理获得了一种模拟复合正交神经网络，并作为前馈控制器。
The analog compound orthogonal neural network was obtained by means of a continuous algorithm treatment for a digital compound orthogonal neural network, and was used as the feedforward controller.
该系统的控制器采用模糊神经网络控制器，它的控制器参数采用模拟退火算法全局优化来对BP算法进行改进的混合方法。
The parameters of the fuzzy neural network controller are optimized by the mixed learning methods with BP algorithm and Simulated Annealing algorithm which improves BP algorithm.
采用自适应神经网络控制方法，设计出倾转旋翼机模拟平台姿态角控制器。
An adaptive neural networks controller is designed for tilt rotor aircraft platform.
采用自适应神经网络控制方法，设计出倾转旋翼机模拟平台姿态角控制器。
An adaptive neural networks controller is designed for tilt rotor aircraft platform.
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