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基于自适应模糊神经网络的二阶惯性纯滞后系统研究
Development of Two step Inertia Purely Retarded System Based on Adaptive Fuzzy Neural Network
【摘要】 本文在文献[1]、[2]基础上,提出一种与受控对象相关联的模糊神经网络控制器,仿真结果表明,此控制器用于二阶惯性纯滞后系统,使得系统响应快、无超调、稳态误差小。
【Abstract】 Based on the reference document ,this paper presents a fuzzy neural network controller that is related to the controlled object.The simulation results show that this controller can be used in the two step inertial purely retarded system and can enable the system to have the advantages of fast response,no overshoot and small error of steady-state.
【关键词】 模糊神经网络;
BP算法;
离线辨识;
在线调正;
【Key words】 fuzzy neural network BP algrithm off-line identification on-line correction;
【Key words】 fuzzy neural network BP algrithm off-line identification on-line correction;
- 【文献出处】 电气传动自动化 ,ELECTRICAL DRIVE AUTOMATION , 编辑部邮箱 ,1997年02期
- 【分类号】TP18
- 【被引频次】1
- 【下载频次】248