Robust Kalman filter for descriptor systems

Robust Kalman filter for descriptor systems

This paper is concerned with the problem of state estimation for descriptor systems subject to uncertainties. The Kalman type recursive algorithms for robust filtered, predicted and smoothed estimates are derived. A numerical example is included to demonstrate the performance of the proposed robust...

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Bibliographische Detailangaben
Hauptverfasser: Ishihara, J.Y., Terra, M.H., Campos, J.C.T.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Applied sciences
Computer science
control theory
systems
Control theory. Systems
Economic forecasting
Exact sciences and technology
Focusing
Kalman filters
Modelling and identification
Noise measurement
Orbital robotics
Recursive estimation
Robustness
State estimation
State-space methods
Uncertainty
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Beschreibung
Zusammenfassung:This paper is concerned with the problem of state estimation for descriptor systems subject to uncertainties. The Kalman type recursive algorithms for robust filtered, predicted and smoothed estimates are derived. A numerical example is included to demonstrate the performance of the proposed robust filter.
ISSN:0743-1619
2378-5861
DOI:10.23919/ACC.2004.1383603