Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
Online ISSN : 2188-4749
Print ISSN : 2188-4730
The 35th ISCIE International Symposium on Stochastic Systems Theory and Its Applications (Oct. 2003, Ube)
Minimum variance state estimators with disturbance decoupling property for optimal filtering problems with unknown inputs
Akio TanikawaYuichi Sawada
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2004 Volume 2004 Pages 96-99

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Abstract
This paper studies an optimal filtering problem for discrete-time linear stochastic systems with unknown disturbances. We explicitly compute the covariance matrix of the output estimation error for the optimal disturbance decoupling observer (ODDO) introduced by Chen and Patton, and determine the gain matrices of the optimal filter. Our new result is slightly different from theirs since we used a corrected recursive formula for the error covariance matrix. The output estimation error with both disturbance decoupling and minimum variance properties is used for a residual signal to diagnose faults.
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© 2004 ISCIE Symposium on Stochastic Systems Theory and Its Applications
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