Robust Kalman Filtering for Signals and Systems with Large Uncertainties

Authors:
Ian R. Petersen;Andrey V. Savkin
Affiliations:
-;-
Venue:
Robust Kalman Filtering for Signals and Systems with Large Uncertainties
Year:
1999

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Abstract

From the Publisher:The purpose of this new book is to present recent developments in the theory of robust-state estimation for the case in which a process model contains significant uncertainties and nonlinearities. In particular, the book looks at the various ways in which the standard Kalman Filter can be modified to make it robust against large parameter uncertainties.. "The book is an essential text/reference for graduates, researchers, and professionals in electrical, mechanical, and control engineering, applied mathematics, and computer engineering. All scientists and engineers engaged in robust control and filtering theory research will find the book a useful resource.