HYBRID ESTIMATOR FOR A WASTEWATER TREATMENT PROCESS

estimator, iterated extended Kalman filter, delayed measurements, neural network, wastewater treatment Quality control in wastewater has undergone stricter regulation in the last decades because of the increasing degradation of water resources. Therefore, it is necessary to adequately monitor and control process variables that may disturb the ecosystem’s fragile balance. However, in a wastewater treatment unit, it may be very difficult to measure directly some process variables, either because there are no physical sensors available, or because these are too expensive. In this work, a soft-sensor is proposed for monitoring concentrations of nitrat