Intelligent Control/Operational Strategies in WWTPs through an Integrated Q-Learning Algorithm with ASM2d-Guided Reward

Intelligent Control/Operational Strategies in WWTPs through an Integrated Q-Learning Algorithm with ASM2d-Guided Reward

The operation of a wastewater treatment plant (WWTP) is a typical complex control problem, with nonlinear dynamics and coupling effects among the variables, which renders the implementation of real-time optimal control an enormous challenge. In this study, a Q-learning algorithm with activated sludg...

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Bibliographic Details
Main Authors: Jiwei Pang, Shanshan Yang, Lei He, Yidi Chen, Nanqi Ren
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Water
Subjects:
machine learning
Q-learning algorithm
optimized control strategies
activated sludge model No. 2d (ASM2d), enhanced nutrients removal
integrated ASM-QL algorithm
Online Access:https://www.mdpi.com/2073-4441/11/5/927

Internet

https://www.mdpi.com/2073-4441/11/5/927

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