Title :
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
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;
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
DOI :
10.1109/ICICTA.2009.14
