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

被引：1
|
作者：
Wu, Xialai [1 ]
Yang, Aiping [2 ]
Dai, Wenzhan [1 ]
机构：
[1] Zhejiang Sci Tech Univ, Dept Automat, Hangzhou, Zhejiang, Peoples R China
[2] Zhejiang Univ Finance & Econom, Hangzhou, Zhejiang, Peoples R China
来源：
ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL I, PROCEEDINGS | 2009年
关键词：
GPC; neural network; parameter self-tuning;
D O I：
10.1109/ICICTA.2009.14
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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.
引用
收藏
页码：27 / 30
页数：4
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