Robust Kalman Filtering For Signals And Systems With Large Uncertainties (Control Engineering)

Ian R. Peterse,Andrey V.

ISBN 10: 0817640894 / ISBN 13: 9780817640897

Editore: Birkhäuser, 1999

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This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Codice articolo ABNR-625

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Titolo: Robust Kalman Filtering For Signals And ...

Casa editrice: Birkhäuser

Data di pubblicazione: 1999

Legatura: Rilegato

Condizione: New

Descrizione articolo

Riassunto:

The Kalman Filter gives an optimal estimate of the state of the given process based on output measurements. The aim of this text is to cover the theory of robust state estimation for the case in which the process model contains significant uncertainties and non-linearities.

Recensione:

"The book is primarily a research monograph which presents, in a unified fashion, some recent research on robust Kalman filtering. The book is intended for researchers in robust control and filtering theory, advanced postgraduate students, and engineers with an interest in applying the latest techniques of robust Kalman filtering. Robust Kalman filtering extends the Kalman filtering and the extended Kalman filtering to systems that contain uncertain parameters in addition to the usual white Gaussian noise.... Several examples are given, showing the robust Kalman filters outperforming the regular Kalman filter or the extended Kalman filter. Each of the first ten chapters covers a specific topic, usually with a major theorem characterizing the robust filter followed by an example. The final chapter addresses its application to a particular problem." —Zentralblatt Math