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• W2043048470 abstract "Abstract Process control in the presence of modeling uncertainty depends critically on the manner in which this uncertainty is characterized. Depending on the information about the parameter variations and the modelling simplifications, the space spanned by the process transfer function can take various shapes. Representing this space solely by its maximim radius can lead to significant overestimation of the possible model—plant mismatch and can restrict the performance of the closed-loop process. In this paper, the numerical-range approach is studied to address the issue of uncertainty characterization and the robust stability problem for multivariable process control systems. Our results indicate that the additional phase information provide by the numerical range can reduce the conservatism associated with singular value based approaches in estimating the process uncertainty." @default.
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• W2043048470 date "1989-01-01" @default.
• W2043048470 modified "2023-10-17" @default.
• W2043048470 title "On the use of the numerical range for the robust stability problem" @default.
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• W2043048470 doi "https://doi.org/10.1016/0009-2509(89)85192-9" @default.
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