Correntropy based data reconciliation and gross error detection and identification for nonlinear dynamic processes
Author:
Publisher
Elsevier BV
Subject
Computer Science Applications,General Chemical Engineering
Reference50 articles.
1. Combined bias and outlier identification in dynamic data reconciliation;Abu-El-Zeet;Comput Chem Eng,2002
2. Checking and correction of measurements on the basis of linear system model;Almasy;Probl Control Inf Theory,1975
3. Fault detection and isolation in stochastic non-linear state-space models using particle filters;Alrowaie;Control Eng Pract,2012
4. Hydraulic actuator leakage fault detection using extended Kalman filter;An;Int J Fluid Power,2005
5. Redescending estimators for data reconciliation and parameter estimation;Arora;Comput Chem Eng,2001
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