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Robustness in H∞ identification

delete2000-11-01
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PRE
AI
P
P.M. Mäkilä *
P
Partington, JR
DOI:10.1016/S0005-1098(00)00074-1delete
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摘要

摘要

En 中文
We consider identification (in both the time domain, for suitable choices of inputs, and the frequency domain) using a deterministic formulation that is less conservative than the usual worst-case approach, in that it allows for a certain number of outliers. Two new identification methods, the Orlicz and The Top K method, respectively, are proposed and analysed. Theoretical H-infinity error bounds for the identified models are provided, and the proposed methods are illustrated by a numerical example. (C) 2000 Elsevier Science Ltd. All rights reserved.
Keyword:
system identification
worst-case identification
noise models
H-infinity
robustness
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Automatica
IF:
5.9
论文数:
1.2W
被引数:
5.2W

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