State Estimation From Measurements With Correlated Noise Without Using Differentiators
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State Estimation from Measurements with Correlated Noise Without Using Differentiators
| Author | : Philip E. Sarachik |
| Publisher | : |
| Total Pages | : 23 |
| Release | : 1970 |
| Genre | : |
| ISBN | : |
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The paper considers the problem of estimating the state of noisy linear systems without the use of differentiators when at least one of the output measurements is corrupted by noise. (Author).
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Language: en
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Type: BOOK - Published: 1970 - Publisher:
The paper considers the problem of estimating the state of noisy linear systems without the use of differentiators when at least one of the output measurements
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The techniques of recursive least squares analysis are applied to the state estimation problem for systems which contain both dynamic noise and serially correla
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A modern look at state estimation, targeted at students and practitioners of robotics, with emphasis on three-dimensional applications.
