Effect of redundancy on estimation accuracy in process data reconciliation

✍ Scribed by Alexandros Kretsovalis; Richard S.H. Mah

• Publisher: Elsevier Science
• Year: 1987
• Tongue: English
• Weight: 773 KB
• Volume: 42
• Category: Article
• ISSN: 0009-2509
• DOI: 10.1016/0009-2509(87)85032-7

✦ Synopsis

For a steady-state process the accuracy of reconciled data may he measured by the trace of its covariance matrix of estimation errors. Quantitative relations are derived for the effects of adding and removing single measurements on estimation accuracy. It is proved that redundancy will never adversely affect estimation accuracy. It will always enhance estimation accuracy, if the measurements relate the process variables in a different way from the constraints. These relations are utilized to develop evolutionary strategies for selecting an optimal measurement structure.