1) apery control
仿人控制
1.
Design of automatic splitting phase device for electrical locomotives based on apery control;
仿人控制的电力机车自动过分相装置研究
2.
This paper first introduces the theory and method of vehicle automated driving based on magnetic markers,analyzes the results of vehicle automated driving based on the apery control and points out the shortcoming of it.
介绍了基于磁道钉导航的车辆自动驾驶的原理和实现方法,分析用此方法建立仿人控制模型来实际控制车辆自动驾驶的结果,指出仿人控制模型的不足之处。
2) human-like control
仿人控制
3) Humanoid Control
仿人控制
1.
This paper provides the system and conception of the Personification Control System (PCS) on the basis of Intelligent Con-trol System based on Artificial life (ICS/AL), Artificial Emotion, Humanoid Control, and Intelligent Control System based on Fieldbus.
本文在基于人工生命的智能控制系统、仿人控制系统、人工情感的研究的基础上,结合本人多年研究的现场总线型智能控制系统的经验,提出了拟人控制系统的概念。
4) human-simulated intelligent control
仿人智能控制
1.
Study and Simulation on Nonlinear PID Human-simulated Intelligent Control Algorithm;
非线性PID仿人智能控制算法及仿真
2.
Human-Simulated Intelligent Control Research Based on the BP Neural Network;
基于BP神经网络的仿人智能控制仿真研究
3.
To solve the problems of the temperature control in rolling reheating furnace,the strategy of human-simulated intelligent control is constructed on the basis of its principles.
针对钢坯加热炉炉温控制现状及存在的问题,依据仿人智能控制原理,建立炉温的仿人智能控制策略。
5) simulating human intelligent control
仿人智能控制
1.
Compared to the optimal PID control,a result is obtained that the simulating human intelligent control has many advantages such as fast response,less overshoot and good robust.
针对纯延迟对象,给出了仿人智能控制器的基本算法及MATLAB仿真模型,并与传统控制策略(最优PID控制)进行对比仿真研究;对比仿真分析表明,仿人智能控制器具有响应速度快、超调小、鲁棒性好等优点,对大纯滞后对象具有极好的控制效果。
2.
Aiming at the long dead time object,this paper presents a simulating human intelligent controller.
针对工业过程中的大滞后对象,提出了一种仿人智能控制器的设计。
3.
Aim at the problem, it is presented that a fuzzy controller with simulating human intelligent control.
针对这个问题 ,将仿人智能控制与模糊控制相结合 ,提出了一种仿人智能模糊控制器 ,给出了该控制器的基本结构、控制算法和仿真结果。
6) biotic intelligence PID control
仿人智能PID控制
1.
Since AMB has the characteristics of non-liner,time-variable and complex couple,this paper proposed biotic intelligence PID control method and simulated the system with Simulink successfully.
针对磁悬浮轴承控制系统非线性、时变、强耦合的复杂特性,提出了仿人智能PID控制算法,并用Simulink进行了系统仿真。
补充资料:反馈控制(见控制系统)
反馈控制(见控制系统)
feedback control
于。。伙。]伙ongZ片}反馈控制(几edbaekcontrol)见拉制系统。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条