Robust identification and Galois sequences
作者:
P. M. MÄKILÄ,
期刊:
International Journal of Control
(Taylor Available online 1991)
卷期:
Volume 54,
issue 5
页码: 1189-1200
ISSN:0020-7179
年代: 1991
DOI:10.1080/00207179108934204
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Worst-casel1identification is studied for BIBO stable linear shift-invariant systems. It is shown that the Chebyshev identification method when used with Galois input designs satisfies a certain robust convergence property and providesl1model error bounds in worst-case identification of BIBO stable systems with a uniformly bounded noise set-up. The robust identification methodology developed is compatible with the modelling requirements of modern robust control design.
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