Improving total nitrogen removal using a neural network ammonia-based aeration control in activated sludge process-Reference-Cited by-同舟云学术

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Improving total nitrogen removal using a neural network ammonia-based aeration control in activated sludge process

Published:2021 Issue:1 Volume:14 Page:1-16
ISSN:1178-5608
Container-title:International Journal on Smart Sensing and Intelligent Systems
language:en
Short-container-title:

Author:

Husin M. H.,Rahmat M. F.,Wahab N. A.,Sabri M. F. M.

Publisher

Walter de Gruyter GmbH

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

https://www.exeley.com/exeley/journals/in_jour_smart_sensing_and_intelligent_systems/14/1/pdf/10.21307_ijssis-2021-016.pdf

Reference38 articles.

1. Improvement of activated sludge process using a nonlinear pi controller design via adaptive gain;International Journal of Chemical Reactor Engineering,2016

2. The optimal dissolved oxygen profile in a nitrifying activated sludge process – comparisons with ammonium feedback control;Water Science and Technology,2013

3. Aeration control – a review;Water Science and Technology: A Journal of the International Association on Water Pollution Research,2013

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1. Hybrid supervised hierarchical control of a biological wastewater treatment plant;Environmental Science and Pollution Research;2024-02-22

2. Dynamic Modelling, Process Control, and Monitoring of Selected Biological and Advanced Oxidation Processes for Wastewater Treatment: A Review of Recent Developments;Bioengineering;2024-02-16

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