A new application of the Lagrange multipliers, obtained from a fixed-interval smoothing algorithm, for identification is presented. They can be used as indicators of time variation of process dynamics. The algorithm is derived by minimizing a quadratic performance index. Results show the effectiveness of Lagrange multipliers in tracking time variation, when the model is estimated from short records.