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自适应神经元PID控制器的设计
引用本文:姚治平,王萍.自适应神经元PID控制器的设计[J].科技广场,2009(1).
作者姓名:姚治平  王萍
作者单位:天津工业大学计算机技术和自动化学院,天津,300160
摘    要:神经网络是单个并行处理元素的集合,可以通过改变连接点的权重来训练神经网络完成特定的功能.本文利用神经网络的模型,根据一般BP神经网络的设计原则,在传统的PID控制器的设计基础上,介绍了自适应神经元PID控制器的设计过程,与传统的PID控制器进行了比较,并进行了实验的仿真.

关 键 词:神经网络  BP网络  自适应  PID控制

The Design of the Adapting Nerve Cell Controller
Yao Zhiping,Wang Ping.The Design of the Adapting Nerve Cell Controller[J].Science Mosaic,2009(1).
Authors:Yao Zhiping  Wang Ping
Institution:School of Computer Technology and Automation;Tianjin Polytechnic University;Tianjin 300160
Abstract:Neural Net is the set of single parallel processing element through change weight of point of junction to train Neural Net and complete specifically function. This text mainly utilizes the model of neu- ral net, according to general designing principle of BP Neural Net, based on the design of traditional PID controller, and introduces the designing process of adapting Neural Net PID controller, compared with the traditional PID controller, and do experiment to complete simulation.
Keywords:Neural Net  BP Neural Net  Adapting  PIDcontrol  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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