Comparison of sensitivity analysis methods for pollutant degradation modelling: A case study from drinking water treatment

Kalman filter for updating the coefficie

Kalman filter for updating the coefficients of regression models. A case study from an activated sludge waste-water treatment plant

✍ Pekka Teppola; Satu-Pia Mujunen; Pentti Minkkinen 📂 Article 📅 1999 🏛 Elsevier Science 🌐 English ⚖ 449 KB

A Kalman filter was developed to overcome the problems caused by process drifting. Different types of models were used to predict response variables of an activated sludge waste-water treatment plant. These models were constructed using MLR, PCR, and PLS. The MLR-type regression coefficients were ca