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Robust Kalman Filtering for Signals and Systems with Large Uncertainties de Ian Richard Petersen

Robust Kalman Filtering for Signals and Systems with Large Uncertainties: Control Engineering

Autor Ian Richard Petersen, Andrey V Savkin Editat de Ian Petersen, Andrey Savkin
en Limba Engleză Hardback – 10 noi 1999
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.
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Specificații

ISBN-13: 9780817640897
ISBN-10: 0817640894
Pagini: 220
Dimensiuni: 160 x 241 x 18 mm
Greutate: 0.5 kg
Editura: SPRINGER NATURE
Seria Control Engineering

Locul publicării:Boston, MA, United States

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Recenzii

"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