Nigel Howarth's Obsession by Myburgh Du Plessis

Nigel Howarth's Obsession by Myburgh Du Plessis

Kalman filtering algorithm gives optimal (linear, unbiased and minimum error-variance) estimates of the unknown state vectors of a linear dynamic-observation system, under the regular conditions such as perfect data information; complete noise statistics; exact linear modeling; ideal well-conditioned matrices in computation and strictly centralized filtering.In practice, however, one or more of the aforementioned conditions may not be satisfied, so that the standard Kalman filtering algorithm cannot be directly used, and hence approximate Kalman filtering becomes necessary. In the last decade, a great deal of attention has been focused on modifying and/or extending the standard Kalman filtering technique to handle such irregular cases. It has been realized that approximate Kalman filtering is even more important and useful in applications.This book is a collection of several tutorial and survey articles summarizing recent contributions to the field, along the line of approximate Kalman filtering with emphasis on both its theoretical and practical aspects.

SKU	Unavailable
ISBN 13	9780956266194
ISBN 10	0956266193
Title	Nigel Howarth's Obsession
Author	Myburgh Du Plessis
Condition	Unavailable
Binding Type	Hardback
Publisher	Chef Media
Year published	2011-05-01
Number of pages	288
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.