ANDDR WITH NOVEL GROSS ERROR DETECTION AND SMART TRACKING SYSTEM

Data reconciliation is a well-known method in on-line process control engineering aimed at estimating the true values of corrupted measurements under constraints. An adaptive nonlinear dynamic data reconciliation (ANDDR) method is proposed that includes the application to processes with an unknown statistical model. ANDDR enables gross error detection (GED) as well. Finally, a novel smart tracking system is combined to ameliorate the problem of delay seen in both the original and later NDDR methods. This package with its smart tracking features is suggested for use in distributed control systems (DCSs) for process control and manufacturing applications such as paper making.