基于模糊认知网络的厌氧消化过程控制方案

T. Kottas, Y. Boutalis, V. Diamantis, O. Kosmidou, A. Aivasidis
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引用次数: 13

摘要

模糊认知网络(FCN)是众所周知的模糊认知图(FCM)的扩展,因此它们与它们所描述的系统直接相连。本文探讨了fns控制污水处理厂厌氧消化过程的能力。首先提出了设计合适的FCN来模拟该工艺的操作。然后,提出了一种基于FCN与过程交互的操作能力的过程控制方案。利用实验厌氧消化装置的数据模拟了FCN控制过程的能力
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A Fuzzy Cognitive Network Based Control Scheme for An Anaerobic Digestion Process
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
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