A novel generalized predictive control algorithm with online tuning maximal output increment based on BP neural network

摘要：

A novel generalized predictive control algorithm with online tuning maximal output increment based on BP neural network is proposed. First,An output increment feedback predictive control algorithm is simplified by approximately computing future control increment sequence off line,then the maximal output increment is adjusted online by BP,which guarantees that output close to set-value ,last,the novel algorithm is applied in simulation systems and the results show its very effective.

关键词： GPC neural network parameter self-tuning

作者: Xialai Wu Aiping Yang Wenzhan Dai

作者单位: Department of Automation Zhejiang Sci-Tech University Hangzhou, P.R China Zhejiang University of Finance & Economics Hangzhou, P.R.China Department of Automation Zhejiang Sci-Tech University Hangzhou, P.R.China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 27-30

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）