Journal of Water Resource and Protection

Journal of Water Resource and Protection

ISSN Print: 1945-3094
ISSN Online: 1945-3108
www.scirp.org/Journal/jwarp
E-mail: jwarp@scirp.org
"N-Removal on Wastewater Treatment Plants: A Process Control Approach"
written by Ramon Vilanova, Reza Katebi, NoraLiza Wahab,
published by Journal of Water Resource and Protection, Vol.3 No.1, 2011
has been cited by the following article(s):
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[2] Artificial Neural Networks in the Wastewater Industry. From Conventional to Data-based Industrial Control
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[3] Reinforcement-Learning-Based Tracking Control of Waste Water Treatment Process Under Realistic System Conditions and Control Performance Requirements
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[5] Combined ILC and PI regulator for wastewater treatment plants
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[6] Online Sequential Extreme Learning Machine Based Adaptive Control for Wastewater Treatment Plant
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[8] IMPLEMENTACIÓN DE CONTROL PREDICTIVO LINEAL EN EL PROCESO DE LODOS ACTIVADOS
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[10] 污水处理决策优化控制
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[11] Controlador difuso mejorado para estrategias de control en cascada y por acción anticipada
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[12] Control and Decision Strategies in Wastewater Treatment Plants for Operation Improvement
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[14] Economic Model Predictive Control of Aeration Systems in a Full Scale Biological Wastewater Treatment Plant
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[16] Tackling the Start-Up of a Reinforcement Learning Agent for the Control of Wastewater Treatment Plants
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[17] Strategi Kendali Kadar Nitrat Berbasis Fuzzy-PID pada Proses Nitrogen Removal di Instalasi Pengolahan Air Limbah
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[18] Nonlinear Proportional Integral Controller with Adaptive Interaction Algorithm for Nonlinear Activated Sludge Process
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[19] Advanced decision control system for effluent violations removal in wastewater treatment plants
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[20] Energy and Environmental Efficiency for the N-Ammonia Removal Process in Wastewater Treatment Plants by Means of Reinforcement Learning
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[21] Modeling and Control of gases (Dissolved oxygen and Nitrogen) of the activated sludge wastewater treatment process
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[22] Fuzzy Control and Model Predictive Control Configurations for Effluent Violations Removal in Wastewater Treatment Plants
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[23] Applying variable dissolved oxygen set point in a two level hierarchical control structure to a wastewater treatment process
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[24] Control strategies for ammonia violations removal in BSM1 for dry, rain and storm weather conditions
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[25] Removing violations of the effluent pollution in a wastewater treatment process
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[26] ROBUST CONTROL SOLUTIONS TO REDUCE THE INFLUENCE OF INFLUENT VARIATIONS ON A WASTEWATER TREATMENT PLANT
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[27] Artificial Neural Network for nitrogen and ammonia effluent limit violations risk detection in Wastewater Treatment Plants
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[28] Effluent predictions in wastewater treatment plants for the control strategies selection
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[29] Economic optimization of Wastewater Treatment Plants using Non Linear Model Predictive Control
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[30] Robust Resonant Controllers for Wastewater Treatment Systems
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[31] Nonlinear PI Control with Adaptive Interaction Algorithm for Multivariable Wastewater Treatment Process
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[32] Neural-MPC for N-removal in activated-sludge plants
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[33] Przegląd, analiza działania i ocena algorytmów sterowania stężeniem tlenu z wykorzystaniem pomiarów związków azotu
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[34] Automation strategies for dissolved oxygen control in real activated-sludge plants
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