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Can I read Mathematics Of Kalman-bucy Filtering (springer Series In Information Sciences) on EtoBox?

Mathematics Of Kalman-bucy Filtering (springer Series In Information Sciences) by Dr. Peter A. Ruymgaart, Professor Tsu T. Soong (auth.) is a nonfiction available to read on EtoBox.

What is Mathematics Of Kalman-bucy Filtering (springer Series In Information Sciences) about?

Since their introduction in the mid 1950s, the filtering techniques developed by Kalman, and by Kalman and Bucy have been widely known and widely used in all areas of applied sciences. Starting with applications in aerospace engineering, their impact has been felt not only in all areas of engineering but also in the social sciences, biological sciences, medical sciences, as well as all other physical sciences. Despite all the good that has come out of this devel­ opment, however, there have been misuses because the theory has been used mainly as a tool or a procedure by many applied workers without them fully understanding its underlying mathematical workings. This book addresses a mathematical approach to Kalman-Bucy filtering and is an outgrowth of lectures given at our institutions since 1971 in a sequence of courses devoted to Kalman-Bucy filters. The material is meant to be a theoretical complement to courses dealing with applications and is designed for students who are well versed in the techniques of Kalman-Bucy filtering but who are also interested in the mathematics on which these may be based. The main topic addressed in this book is continuous-time Kalman-Bucy filtering

Who reads Mathematics Of Kalman-bucy Filtering (springer Series In Information Sciences)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Dr. Peter A. Ruymgaart, Professor Tsu T. Soong (auth.)
Publisher
Springer Berlin Heidelberg
Published
1985
Language
EN
ISBN
9783642968426
Category
nonfiction
Subjects
Computer Science, Mathematics, Stem

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