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- W6736874 abstract "This paper deals with the problem of uncertainly evaluation in linear regression models, representing either purely parametric models or mixed parametric and nonparametric (restricted complexity) models, under the hypothesis that disturbance information and prior knowledge on the unmodelled dynamics are available as deterministic bounds. A procedure is proposed for constructing recursively an outer bounding parallelotopic estimate of the parameter uncertainly set, which can be considered as an alternative description to commonly used.ellipsodic approximations.this new type of approximation is motivated by recent developments in the robust control field, where description like hyperrectangular aor polytopic domains led to appealing stability and performance robustness properties of uIlcert.ain feedback systems." @default.
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- W6736874 date "1993-07-01" @default.
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- W6736874 title "Adaptive Approximation of Uncertainty Sets for Linear Regression Models" @default.
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- W6736874 doi "https://doi.org/10.1016/s1474-6670(17)48232-2" @default.
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