DocumentCode
2805137
Title
Self-learning neural network fuzzy control applied to the synthetic ammonia production
Author
Li, Shaoyuan ; Xi, Yugeng ; Xiaoye, Wang
Author_Institution
Inst. of Autom., Shanghai Jiaotong Univ., China
fYear
2000
fDate
2000
Firstpage
339
Lastpage
342
Abstract
Proposes a fuzzy control scheme based on a neural network (NN) structure. The control system includes two NNs. One NN carries out the inference process of the control rules by fuzzy inference and the other one optimizes the fuzzy domain of the language variable in the forward channel by tracking the system dynamics. Hence, the scheme can improve the system performance. The example of the synthetic ammonia system shows the effectiveness of the control scheme
Keywords
ammonia; chemical technology; fuzzy control; fuzzy logic; neurocontrollers; process control; self-adjusting systems; temperature control; control rules; fuzzy inference; inference process; self-learning neural network fuzzy control; synthetic ammonia production; Biological neural networks; Control systems; Error correction; Fuzzy control; Fuzzy neural networks; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Neural networks; Production;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications, 2000. Proceedings of the 2000 IEEE International Conference on
Conference_Location
Anchorage, AK
Print_ISBN
0-7803-6562-3
Type
conf
DOI
10.1109/CCA.2000.897447
Filename
897447
Link To Document