An extended Kalman filter is applied to a stainless-steel manufacturing operation in order to estimate the molten metal composition in real time. A recently developed process model forms the basis of the filter. The performance of the estimator is tested for several levels of measurement information and for both continuous and discrete samples. The results indicate that reliable estimates of the metal bath composition can be obtained even when only bath temperature can be measured.