2017
DOI: 10.1201/9781315151908
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Nonlinear Filtering

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Cited by 10 publications
(3 citation statements)
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“…This process requires assumptions on the statistics of the process noise and measurement noise (Raol, 2017). Often such information is not available.…”
Section: Introductionmentioning
confidence: 99%
“…This process requires assumptions on the statistics of the process noise and measurement noise (Raol, 2017). Often such information is not available.…”
Section: Introductionmentioning
confidence: 99%
“…The value of R (or 'Rr') appearing in (5) is used as a tuning parameter. In order to implement the algorithm, one has to solve the matrix ORD equation (6), and for this one can use the following transformation [9] a=P(t) d (24) to obtain the differential equations, appropriately from (4), as follows (25) and (26) are solved by using the transition matrix method [9], then using (24) one gets P(t). Model of FLIR (forward looking infrared sensor) for generation of synthetic image is considered.…”
Section: B Fuzzy Logic Modulated Observer For Centroid Trackingmentioning
confidence: 99%
“…In the case of the observer of (3), R in (5) is some positive definite matrix, and is regarded as the weighting matrix. In (3), f m is an FMF that operates on input residuals r(t), (in turn on e(t)) and obtains the output that is used in the observer structure; this provides a nonlinear function of residuals effect [9,Chapter 9], because any FMF is inherently nonlinear. In (5) P(t) is obtained as the solution of the observer Riccati differential (ORD) equation (6), Q is considered as some weighting matrix, whereas in KF/EKF theory it is an intensity or a covariance matrix of the process noise.…”
Section: IImentioning
confidence: 99%