Robust Kalman filtering for signals and systems with large uncertainties
By: Ian R. Petersen, Andrey V. Savkin.
Contributors: Savkin, Andrey V.
Series: Control engineering; Control engineering (Birkhäuser)
Publisher: Birkhäuser; Birkhäuser
Published: 1999
Place of publication: Boston
Language: eng
Number of pages: 200
Subjects: Feedback control systems.; Kalman filtering.; Signal processing.
Description: "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."--BOOK JACKET.

"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."--BOOK JACKET.
Notes: Includes bibliographical references and index.