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 …

Wastewater treatment is a problem known to humankind for centuries. The quality of treated
sewage determines the condition of reservoirs around the world. Control of such a complex …

This work investigates the evolution of traditional set theory to address complex and
ambiguous real-world phenomena. It introduces hierarchical hyperstructures and …

Wastewater treatment plants (WWTPs) are highly non-linear processes that must be
optimized to meet rigorous environmental water regulations. In this context, efficiency and …

A novel control strategy is developed for a municipal wastewater treatment plant (WWTP)
consisting of anaerobic-anoxic-aerobic reactors. The idea is to generate more organic …

This study explores advanced frameworks for modeling uncertainty and complexity,
including fuzzy sets, neutrosophic sets, and plithogenic sets. Plithogenic sets, which …

The present work aimed the Wastewater Treatment Plant (WWTP) optimization based on the
prediction of the WWTP energy and quality performance indices using Artificial Neural …

Abstract Model predictive control (MPC) and Fuzzy controllers are designed in a two‐level
hierarchical supervisory control framework for control of activated sludge‐based wastewater …

Phosphorus in wastewater poses a significant environmental threat, leading to water
pollution and eutrophication. However, it plays a crucial role in the water-energy-resource …

Effective modeling and management are critical in wastewater treatment facilities since the
aeration process accounts for 65–70% of the overall energy consumption. This study …