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Practical stability of approximating discrete-time filters with respect to model mismatch

✍ Scribed by Onvaree Techakesari; Jason J. Ford; Dragan Nešić


Book ID
118426065
Publisher
Elsevier Science
Year
2012
Tongue
English
Weight
349 KB
Volume
48
Category
Article
ISSN
0005-1098

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In this paper, we consider the problem of risk-sensitive ÿltering for continuous-time stochastic linear Gaussian time-invariant systems. In particular, we address the problem of forgetting of initial conditions. Our results show that suboptimal risk-sensitive ÿlters initialized with arbitrary Gaussi