Multivariable Large Delay System Neural Network Multi-step Predictive Dynamic Modeling Research

摘要：

The paper mainly introduce the dynamic modeling method of multi-step predictive neural network in the large delay system. First proposed the improved LMBP algorithm,and then discussed the algorithm and structure of neural network and dynamic response characteristics of large delay system in detail. Finally based on single variable delay system modeling frame presented multivariable large delay systems neural network multi-step predictive modeling new algorithm. And have done simulation to multi-step predictive modeling based on the data of the water purification coagulant sedimentation delay system.

作者: SHI Buhai FANG Zhixiong

作者单位: Automation Science & Engineering College,South China University of Technology,Guangzhou 510641,P.R.China

会议类型: 国际会议

会议名称: The 30th Chinese Control Conference(第三十届中国控制会议)

会议地点: 烟台

会议语种:英文

页码: 1-6

在线出版日期: 2011-07-01（万方平台首次上网日期，不代表论文的发表时间）