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

fYear

2009

fDate

9-11 Dec. 2009

Firstpage

1370

Lastpage

1375

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICCA.2009.5410505

Filename

5410505