摘要
在最优控制器的基础上并联两个神经网络模型NNM和NNC,将人工神经网络所具有的并行性、自适应、自学习等能力应用于渠道运行现有的最优控制,作为控制系统中的补偿环节,来完成精确模型的建立和稳定控制,从而提出一种新的渠道运行控制非线性最优控制器。讨论了神经网络在渠系运行控制的应用,为用神经网络理论研究渠道运行自动控制提供一种理论和方法上的探讨。
The authors introduce two neural network models, i. e. , NNM and NNC, on the basis of optimal control to control the canal system, applying the abilities of simultaneity, self-adaptability and self-learning of artificial neural network. A new nonlinear optimal controller for canal operation and control is presented through compensation of control system aiming at precise modeling and stable control. The applications of neural network in canal control are discussed, and the research can provide reference for the research of canal automatic control by means of neural network control theory.
出处
《中国农村水利水电》
北大核心
2005年第9期73-75,77,共4页
China Rural Water and Hydropower
关键词
渠道供水
最优控制
神经网络
仿真
canal water supply
optimal control
neural network
simulation
