Title :
Biological-filter fuzzy-neural controller design based on COD reduction rate
Author :
Yuzhao, Feng ; Hongwei, Zhao ; Zhili, Chen ; Yi, Chen ; Yong, Chen ; Zishan, Pang
Author_Institution :
Chongqing Logistics Eng. Univ., Chongqing, China
Abstract :
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.
Keywords :
control system synthesis; fuzzy control; fuzzy neural nets; learning (artificial intelligence); neurocontrollers; wastewater treatment; COD reduction rate; biological-filter fuzzy-neural controller design; biological-filter wastewater treatment system; error reinforcement fuzzy-neural network controller design; reinforcement learning; state parameters; two index-COD reduction rate; Adaptive control; Automatic control; Biological control systems; Control systems; Error correction; Fuzzy control; Fuzzy neural networks; Neural networks; Programmable control; Wastewater treatment; biological-filter system; error reinforcement operator; neural network control; wastewater treatment;
Conference_Titel :
Control and Automation, 2009. ICCA 2009. IEEE International Conference on
Conference_Location :
Christchurch
Print_ISBN :
978-1-4244-4706-0
Electronic_ISBN :
978-1-4244-4707-7
DOI :
10.1109/ICCA.2009.5410505
