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- W2034204595 abstract "This paper introduces the reader to several recent developments in worst-case identification motivated by various issues of modelling of systems from data for the purpose of robust control design. Many aspects of identification in H∞ and ℓ1 are covered including algorithms, convergence and divergence results, worst-case estimation of uncertainty models, model validation and control relevancy issues." @default.
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- W2034204595 date "1995-12-01" @default.
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- W2034204595 title "Worst-case control-relevant identification" @default.
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- W2034204595 doi "https://doi.org/10.1016/0005-1098(95)00106-3" @default.
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