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Denoising Autoencoders and LSTM-Based Artificial Neural Networks Data Processing for Its Application to Internal Model Control in Industrial Environments - The Wastewater Treatment Plant Control Case., , , and . Sensors, 20 (13): 3743 (2020)LSTM-Based Wastewater Treatment Plants Operation Strategies for Effluent Quality Improvement., , , , and . IEEE Access, (2019)Complementary Control Actions for Greenhouse Gas Emissions Reduction in Wastewater Treatment Plant Operation., , , , and . ICSTCC, page 68-73. IEEE, (2022)Optimal set point generation based on deep reinforcement learning and transfer knowledge for Wastewater Treatment Plants., , , , and . ETFA, page 1-7. IEEE, (2023)Transfer Learning Approach for the Design of Basic Control Loops in Wastewater Treatment Plants., , , and . ETFA, page 1-8. IEEE, (2021)Stability margins characterization of a combined servo/regulation tuning for PID controllers., and . ETFA, page 548-554. IEEE, (2007)Sensitivity Function Optimization Approach to PID Design for Improved Disturbance Attenuation., and . IMECS, page 1439-1444. Newswood Limited, (2007)Unified Servo/Regulator Design for Robust PID Tuning., , , and . CCA, page 2432-2437. IEEE, (2010)Model reduction approach for digital PID control based on generalized holds., , , and . CCA/ISIC, page 884-889. IEEE, (2009)General Smith Predictors from an Observer-Controller perspective., , , and . CCA/ISIC, page 1203-1208. IEEE, (2009)