Worst-case input-output identification
作者:
P. M. MÄKILÄ,
期刊:
International Journal of Control
(Taylor Available online 1992)
卷期:
Volume 56,
issue 3
页码: 673-689
ISSN:0020-7179
年代: 1992
DOI:10.1080/00207179208934334
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
We consider worst-case l1identification of causal linear shift-invariant systems from time series. Many results are given on general aspects of identification algorithm performance, existence of optimal algorithms, robust convergence, and input (experiment) design. The identification methodology studied here is compatible with the modelling requirements of modern robust control design.
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