Results 261 to 270 of about 63,163 (313)
Some of the next articles are maybe not open access.
International Journal of Control, 1997
For an implicitly defined discrete system, a new algorithm for Kalman filtering is developed and an efficient numerical implementation scheme is proposed. Unlike the traditional explicit approach, the implicit filter can be readily applied to ill-conditioned systems and allows for generalization to descriptor systems. The implementation of the implicit
M, Skliar, W F, Ramirez
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For an implicitly defined discrete system, a new algorithm for Kalman filtering is developed and an efficient numerical implementation scheme is proposed. Unlike the traditional explicit approach, the implicit filter can be readily applied to ill-conditioned systems and allows for generalization to descriptor systems. The implementation of the implicit
M, Skliar, W F, Ramirez
openaire +2 more sources
Asian Journal of Control, 2016
AbstractIn the Extended Kalman Filter (EKF), only the first‐order term of the Taylor series is employed. Hence, the nonlinearities in the system dynamics are not fully considered. In the proposed method, to overcome this drawback, the higher‐order terms of the Taylor series are considered and a new filter, based on the Modal series, is designed.
Mohammaddadi, Gh. +2 more
openaire +1 more source
AbstractIn the Extended Kalman Filter (EKF), only the first‐order term of the Taylor series is employed. Hence, the nonlinearities in the system dynamics are not fully considered. In the proposed method, to overcome this drawback, the higher‐order terms of the Taylor series are considered and a new filter, based on the Modal series, is designed.
Mohammaddadi, Gh. +2 more
openaire +1 more source
2017
Damit Kalman-Filter korrekt eingesetzt werden konnen, ist es wichtig, die Randbedingen zu kennen, unter der die Kalman-Gleichungen verwendet werden durfen. Dies bedeutet, dass die jeweilig zu losende Aufgabe dahingehend zu uberprufen ist. Sind diese Voraussetzungen nicht gegeben, liefern die Kalman-Gleichungen nicht das gewunschte Ergebnis.
Reiner Marchthaler, Sebastian Dingler
openaire +1 more source
Damit Kalman-Filter korrekt eingesetzt werden konnen, ist es wichtig, die Randbedingen zu kennen, unter der die Kalman-Gleichungen verwendet werden durfen. Dies bedeutet, dass die jeweilig zu losende Aufgabe dahingehend zu uberprufen ist. Sind diese Voraussetzungen nicht gegeben, liefern die Kalman-Gleichungen nicht das gewunschte Ergebnis.
Reiner Marchthaler, Sebastian Dingler
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Adaptiver Kalman-Filter (Rose-Filter)
2017Um das Kalman-Filter optimal zu nutzen, ist es von groserWichtigkeit, die Kovarianz des Messrauschens \( \underline{R} \left( k \right) \) und des Systemrauschen \( \underline{Q} \left( k \right) \) moglichst exakt zu bestimmen. Erst durch eine exakte Bestimmung der beiden Kovarianzen ist es moglich, eine optimale Zustandsschatzung und eine korrekte ...
Reiner Marchthaler, Sebastian Dingler
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Soot reactivity analysis and implications on diesel filter regeneration
Progress in Energy and Combustion Science, 2020Magín Lapuerta
exaly
Electronic Devices Using Open Framework Materials
Chemical Reviews, 2020Mark Allendorf +2 more
exaly
Glomerular barrier behaves as an atomically precise bandpass filter in a sub-nanometre regime
Nature Nanotechnology, 2017Bujie Du, Xingya Jiang, Anindita Das
exaly