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Estimation, Control, and the Discrete Kalman Filter

by Donald E. Catlin
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Current price ₹10,915.00
Original price ₹16,792.00
Original price ₹16,792.00
Original price ₹16,792.00
(-35%)
₹10,915.00
Current price ₹10,915.00

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Book cover type: Hardcover
  • ISBN13: 9780387967776
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Springer
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: 276
  • Original Price: EUR 149.99
  • Language: English
  • Edition: 1989
  • Item Weight: 590 grams
  • BISAC Subject(s): Robotics, Probability & Statistics / General, and System Theory

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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