Variable Flow Heating Control System Based on Neural Network Decoupling

摘要：

The diagonal recurrent neural network (DRNN) has been brought up and applied to the variable flow heating system with features of being nonlinear, time-varying, uncertainty and serious coupling among variations. This application of the network can overcome and eliminate the coupling among the variations, when the control process of heating system is either static or dynamic. What is more, the design of a neural network decoupling controller has also been given. After the matlab simulation, it shows that the purposes of shortening the dynamic time and completely static decoupling can be achieved and to our satisfaction.

作者: Chao-Ying Liu Kai Li Zhe-Ying Song Xue-Ling Song Hui-Fang Wang

作者单位: Shijiazhuang Xinhua Road No.505, 050054 China

会议类型: 国际会议

会议名称: 2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)

会议地点: 南京

会议语种:英文

在线出版日期: 2007-11-18（万方平台首次上网日期，不代表论文的发表时间）