DocumentCode
1562046
Title
Applied Research in Fuzzy Neural Network Predictive Control
Author
Li, Yong-wei ; Li, Wei ; Yu, Guo-Qing ; Wang, Zhen-Yu ; Guo, Peng
Author_Institution
Hebei Univ. of Sci. & Technol., Shijiazhuang
fYear
2007
Firstpage
408
Lastpage
410
Abstract
Being aimed at the problem that non-linear and long lag-time technological processes are difficult to control, this paper puts forward a predictive control method which combines BP neural network with fuzzy control. After having tested real-time control of the synthetic ammonia decarburization calcinations processes in a decarburization factory, this method is proved to be effective.
Keywords
chemical industry; fuzzy control; fuzzy neural nets; neurocontrollers; predictive control; BP neural network; decarburization factory; fuzzy control; fuzzy neural network predictive control; real-time control; synthetic ammonia decarburization calcination process; Calcination; Control systems; Fuzzy control; Fuzzy neural networks; Intelligent networks; Mathematical model; Neural networks; Nonlinear control systems; Predictive control; Process control; BP predictive control; calcinations processes; neural network; real-time control; synthetic ammonia decarbornization;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Informatics, 6th IEEE International Conference on
Conference_Location
Lake Tahoo, CA
Print_ISBN
9781-4244-1327-0
Electronic_ISBN
978-1-4244-1328-7
Type
conf
DOI
10.1109/COGINF.2007.4341917
Filename
4341917
Link To Document