DATA RECONCILIATION FOR INPUT-OUTPUT MODELS IN LINEAR DYNAMIC-SYSTEMS

Sequential data reconciliation algorithms have been developed for inpu t-output models in linear dynamic systems. Existing filtering methods do not treat the case where there are measurement errors in the input variables. In our approach, the measurement errors in the input variab les are optimally handled by the least squares method. This method sho ws good performance for input-output models.