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Estimation, Control, and the Discrete Kalman Filter (Paperback, Softcover reprint of the original 1st ed. 1989)
Loot Price: R4,228
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Estimation, Control, and the Discrete Kalman Filter (Paperback, Softcover reprint of the original 1st ed. 1989)
Series: Applied Mathematical Sciences, 71
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Total price: R4,248
Discovery Miles: 42 480
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In 1960, R. E. Kalman published his celebrated paper on recursive
min imum variance estimation in dynamical systems [14]. This paper,
which introduced an algorithm that has since been known as the
discrete Kalman filter, produced a virtual revolution in the field
of systems engineering. Today, Kalman filters are used in such
diverse areas as navigation, guid ance, oil drilling, water and air
quality, and geodetic surveys. In addition, Kalman's work led to a
multitude of books and papers on minimum vari ance estimation in
dynamical systems, including one by Kalman and Bucy on continuous
time systems [15]. Most of this work was done outside of the
mathematics and statistics communities and, in the spirit of true
academic parochialism, was, with a few notable exceptions, ignored
by them. This text is my effort toward closing that chasm. For
mathematics students, the Kalman filtering theorem is a beautiful
illustration of functional analysis in action; Hilbert spaces being
used to solve an extremely important problem in applied
mathematics. For statistics students, the Kalman filter is a vivid
example of Bayesian statistics in action. The present text grew out
of a series of graduate courses given by me in the past decade.
Most of these courses were given at the University of Mas
sachusetts at Amherst.
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