A Fuzzy Cognitive Network Based Control Scheme for An Anaerobic Digestion Process

Author

Kottas, T. ; Boutalis, Y. ; Diamantis, V. ; Kosmidou, O. ; Aivasidis, A.

Author_Institution

Dept. of Electr. & Comput. Eng., Democritus Univ. of Thrace, Xanthi

fYear

2006

fDate

28-30 June 2006

Firstpage

1

Lastpage

7

Abstract

Fuzzy cognitive networks (FCN) are extensions of the well known fuzzy cognitive maps (FCM) so that they operate in direct interconnection with the system they describe. This paper explores the ability of FCNs to control an anaerobic digestion process of a wastewater treatment plant. The design of the appropriate FCN to simulate the operation of the process is proposed first. Then, a control scheme for the process is proposed, which is based on the operational ability of the FCN to interact with the process. The ability of the FCN to control the process is simulated by using data from an experimental anaerobic digestion unit

Keywords

cognitive systems; fuzzy control; fuzzy logic; process control; wastewater treatment; anaerobic digestion process control; fuzzy cognitive map; fuzzy cognitive network; wastewater treatment plant; Computer networks; Control systems; Effluents; Electrical equipment industry; Fuzzy cognitive maps; Fuzzy control; Fuzzy systems; Inductors; Process control; Wastewater treatment; Anaerobic Process; Fuzzy Cognitive Maps; Fuzzy Cognitive Networks; Process Control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Automation, 2006. MED '06. 14th Mediterranean Conference on

Conference_Location

Ancona

Print_ISBN

0-9786720-1-1

Electronic_ISBN

0-9786720-0-3

Type

conf

DOI

10.1109/MED.2006.328850

Filename

4124956