A Novel Generalized Predictive Control Algorithm with Online Tuning Maximal Output Increment Based on BP Neural Network

Author

Wu, Xialai ; Yang, Aiping ; Dai, Wenzhan

Author_Institution

Dept. of Autom., Zhejiang Sci-Tech Univ., Hangzhou, China

Volume

1

fYear

2009

fDate

10-11 Oct. 2009

Firstpage

27

Lastpage

30

Abstract

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 .

Keywords

backpropagation; feedback; learning systems; neurocontrollers; predictive control; BP neural network; GPC; generalized predictive control algorithm; online tuning maximal output increment; output increment feedback predictive control algorithm; Automation; Computational modeling; Intelligent networks; Neural networks; Neurofeedback; Output feedback; Prediction algorithms; Predictive control; Predictive models; Tuning; GPC; neural network; parameter self-tuning;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on

Conference_Location

Changsha, Hunan

Print_ISBN

978-0-7695-3804-4

Type

conf

DOI

10.1109/ICICTA.2009.14

Filename

5287716