TY - GEN
T1 - Biological-filter fuzzy-neural controller design based on COD reduction rate
AU - Yuzhao, Feng
AU - Hongwei, Zhao
AU - Zhili, Chen
AU - Yi, Chen
AU - Yong, Chen
AU - Zishan, Pang
PY - 2009
Y1 - 2009
N2 - This paper proposed a novel method for error reinforcement fuzzy-neural network controller design which is only related to two index-COD reduction rate and its variation. The designed controller could generate fuzzy control rules automatically by reinforcement learning in line with the state parameters of a biological-filter wastewater treatment system. The constructed controller has been tested in a bio-filter wastewater treatment experimental system that demonstrates the validity and practicability.
AB - This paper proposed a novel method for error reinforcement fuzzy-neural network controller design which is only related to two index-COD reduction rate and its variation. The designed controller could generate fuzzy control rules automatically by reinforcement learning in line with the state parameters of a biological-filter wastewater treatment system. The constructed controller has been tested in a bio-filter wastewater treatment experimental system that demonstrates the validity and practicability.
KW - Biological-filter system
KW - Error reinforcement operator
KW - Neural network control
KW - Wastewater treatment
UR - https://www.scopus.com/pages/publications/77950396056
U2 - 10.1109/ICCA.2009.5410505
DO - 10.1109/ICCA.2009.5410505
M3 - 会议稿件
AN - SCOPUS:77950396056
SN - 9781424447060
T3 - 2009 IEEE International Conference on Control and Automation, ICCA 2009
SP - 1370
EP - 1375
BT - 2009 IEEE International Conference on Control and Automation, ICCA 2009
T2 - 2009 IEEE International Conference on Control and Automation, ICCA 2009
Y2 - 9 December 2009 through 11 December 2009
ER -