Dissolved oxygen control strategies for water treatment: a review

D Li, M Zou, L Jiang - Water Science & Technology, 2022 - iwaponline.com
Dissolved oxygen (DO) is one of the most important water quality factors. Maintaining the DO
concentration at a desired level is of great value to both wastewater treatment plants …

Integration of green energy and advanced energy-efficient technologies for municipal wastewater treatment plants

Z Guo, Y Sun, SY Pan, PC Chiang - International journal of environmental …, 2019 - mdpi.com
Wastewater treatment can consume a large amount of energy to meet discharge standards.
However, wastewater also contains resources which could be recovered for secondary uses …

Data-driven multiobjective predictive control for wastewater treatment process

H Han, Z Liu, Y Hou, J Qiao - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
To comply with the effluent standards and growing demands for safety and reliability, the
operation of wastewater treatment processes (WWTPs) has been considered as a …

Adaptive fuzzy neural network control of wastewater treatment process with multiobjective operation

JF Qiao, Y Hou, L Zhang, HG Han - Neurocomputing, 2018 - Elsevier
This study investigates an adaptive fuzzy neural network control system for the
multiobjective operation of wastewater treatment process (WWTP) with standard effluent …

Cooperative fuzzy-neural control for wastewater treatment process

H Han, H Liu, J Li, J Qiao - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
Wastewater treatment process, including multiple biochemical reactions, is a complex
industrial process with strong nonlinearity and time-varying dynamics. It is a challenge to …

ANN-based soft sensor to predict effluent violations in wastewater treatment plants

I Pisa, I Santín, JL Vicario, A Morell, R Vilanova - Sensors, 2019 - mdpi.com
Wastewater treatment plants (WWTPs) form an industry whose main goal is to reduce
water's pollutant products, which are harmful to the environment at high concentrations. In …

Event-driven model predictive control with deep learning for wastewater treatment process

G Wang, J Bi, QS Jia, J Qiao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Wastewater treatment processes (WWTPs) have been considered as complex control
problems, because effluent water standard, stability and multioperational conditions need to …

A nonlinear process monitoring approach with locally weighted learning of available data

S Yin, X Xie, W Sun - IEEE Transactions on Industrial …, 2016 - ieeexplore.ieee.org
This paper proposes a data-driven approach for nonlinear process monitoring under the
framework of locally weighted learning. Based on available process measurements, the …

An effective integrated control with intelligent optimization for wastewater treatment process

F Li, Z Su, G Wang - Journal of Industrial Information Integration, 2021 - Elsevier
Wastewater treatment process (WWTPs) is an enormous and complex system, it involves
multi-disciplines and multi-fields, which is a greatly challenge for industrial Information …

Dynamic multi-objective intelligent optimal control toward wastewater treatment processes

YB Xie, D Wang, JF Qiao - Science China Technological Sciences, 2022 - Springer
Wastewater treatment plays a crucial role in alleviating water shortages and protecting the
environment from pollution. Due to the strong time variabilities and complex nonlinearities …