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来源类型Article
规范类型其他
DOI10.1134/S0081543810040103
On dynamical regularization under random noise.
Kryazhimskiy AV; Osipov YS
发表日期2010
出处Proceedings of the Steklov Institute of Mathematics 271 (1): 125-137
出版年2010
语种英语
摘要We consider the problem of constructing a robust dynamic approximation of a time-varying input to a control system from the results of inaccurate observation of the states of the system. In contrast to the earlier studied cases in which the observation errors are assumed to be small in the metric sense, the errors in the present case are allowed to take, generally, large values and are subject to a certain probability distribution. The observation errors occurring at different instants are supposed to be statistically independent. Under the assumption that the expected values of the observation errors are small, we construct a dynamical algorithm for approximating the normal (minimal in the sense of the mean-square norm) input; the algorithm ensures an arbitrarily high level of the mean-square approximation accuracy with an arbitrarily high probability.
主题Dynamic Systems (DYN)
URLhttp://pure.iiasa.ac.at/id/eprint/9164/
来源智库International Institute for Applied Systems Analysis (Austria)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/129054
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Kryazhimskiy AV,Osipov YS. On dynamical regularization under random noise.. 2010.
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