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Petersen, Ian; Savkin, Andrey V. (University Of Western Australia, Nedlands, Wa, Australia) - Robust Kalman Filtering for Signals and Systems with Large Uncertainties - 9781461272090 - V9781461272090
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Robust Kalman Filtering for Signals and Systems with Large Uncertainties

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Description for Robust Kalman Filtering for Signals and Systems with Large Uncertainties paperback. Series: Control Engineering. Num Pages: 207 pages, biography. BIC Classification: TJF. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 11. Weight in Grams: 343.
A significant shortcoming of the state space control theory that emerged in the 1960s was its lack of concern for the issue of robustness. However, in the design of feedback control systems, robustness is a critical issue. These facts led to great activity in the research area of robust control theory. One of the major developments of modern control theory was the Kalman Filter and hence the development of a robust version of the Kalman Filter has become an active area of research. Although the issue of robustness in filtering is not as critical as in feedback control (where there ... Read more

Product Details

Format
Paperback
Publication date
2012
Publisher
Springer-Verlag New York Inc. United States
Number of pages
207
Condition
New
Series
Control Engineering
Number of Pages
207
Place of Publication
New York, United States
ISBN
9781461272090
SKU
V9781461272090
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Robust Kalman Filtering for Signals and Systems with Large Uncertainties
"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 ... Read more

Goodreads reviews for Robust Kalman Filtering for Signals and Systems with Large Uncertainties


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