The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 20, 2022

Filed:

Nov. 25, 2019
Applicant:

Beijing University of Technology, Beijing, CN;

Inventors:

Honggui Han, Beijing, CN;

Jiaming Li, Beijing, CN;

Xiaolong Wu, Beijing, CN;

Junfei Qiao, Beijing, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
C02F 1/20 (2006.01); G06N 20/10 (2019.01); C02F 1/58 (2006.01); C02F 3/30 (2006.01); G05B 13/02 (2006.01); G06F 17/16 (2006.01); G06F 17/18 (2006.01); G06N 3/04 (2006.01); G06N 3/08 (2006.01); C02F 101/16 (2006.01);
U.S. Cl.
CPC ...
C02F 1/20 (2013.01); C02F 1/586 (2013.01); C02F 3/305 (2013.01); G05B 13/0285 (2013.01); G06F 17/16 (2013.01); G06F 17/18 (2013.01); G06N 3/0436 (2013.01); G06N 3/08 (2013.01); G06N 20/10 (2019.01); C02F 2101/163 (2013.01);
Abstract

A cooperative fuzzy-neural control method is designed in this present invention. Due to the difficulty for cooperatively controlling the concentrations of the dissolved oxygen and nitrate nitrogen in wastewater treatment process, a cooperative fuzzy-neural control method is investigated. In this proposed method, firstly, a interval type-2 fuzzy neural network is employed to construct the cooperative fuzzy-neural controller. Secondly, a parameter cooperative strategy is proposed to cooperatively optimize the global and local parameters of the cooperative fuzzy-neural controller to meet the control requirements. This proposed cooperative fuzzy-neural control method can cooperatively control the concentrations of the dissolved oxygen and nitrate nitrogen in wastewater treatment process. The results illustrate that the proposed cooperative fuzzy-neural control method can achieve the high control accuracy and guarantee the normal operations of wastewater treatment process under the different operation conditions.


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