该系统将人工智能中的神经网络控制技术和模糊控制技术结合，采用闭环控制方式，实现对带式输送机物料流量的智能自动控制。
Combining neural network technology with fuzzy control technology, taking the closed loop control method, the system can control the delivery of the material flow automatically.
本文在神经网络直接控制船舶运动控制基础上，引入闭环增益成形算法构成闭环控制，以提高系统对环境干扰和过程参数摄动的鲁棒性。
But the robust performance is improved obviously when the closed loop gain shaping control algorithm is introduced into the ship motion system on the basis of neural network control in the thesis.
传感器、控制器与执行器的数据经网络进行传输与交换的闭环控制系统称为网络控制系统。
Networked control systems (NCS) are a kind of closed-loop control systems where the sensors, the controller and the actuators exchange data through network.
实际应用表明，该控制系统动态性能高，适合于复杂的闭环控制和通信任务，易于进行网络配置及维护。
Application shows that this drive control system has higher dynamic performance and is capable of close-loop control and communication and ease of network configuration and maintenance.
针对直接矢量控制感应电机感应电机调速系统 ，设计和训练一个三层前馈神经网络以估计系统的实际转子磁链和单位矢量 ，并由此构成系统的闭环控制。
This paper designed and trained a three-layer fee dforward neural network to estimate the actual rotor flux and unit vector ford irect vector controlled induction motor speed drive.
并与国内外研究较多的无刷直流电机的基于自适应PID、模糊控制、神经网络控制、PID控制的双闭环控制系统进行仿真对比实验。
Simulation experiment compared with the double-loop motor subject to adaptive PID control, fuzzy control, neural-network control and conventional PID control is presented.
并与国内外研究较多的无刷直流电机的基于自适应PID、模糊控制、神经网络控制、PID控制的双闭环控制系统进行仿真对比实验。
Simulation experiment compared with the double-loop motor subject to adaptive PID control, fuzzy control, neural-network control and conventional PID control is presented.
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