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- W2617609719 abstract "It is shown that a way for inferring the performance of a linear feedback loop made up by an unknown plant and a given controller designed according to a quadratic criterion (LQ, H2, H∞ etc.), is to resort to the concept of a virtual reference. This allows one to define a closed-loop performance:related distance measure, called divergence, between the unknown plant and each of its nominal models to which the candidate controllers are tuned on. It is proved that the divergence can be simply obtained by suitably filtering an output prediction error. This result is of paramount importance in switching supervisory control of uncertain plants." @default.
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- W2617609719 date "1998-08-01" @default.
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- W2617609719 title "Filtering for Prediction-Based Switching Supervisory Control" @default.
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- W2617609719 doi "https://doi.org/10.1016/s1474-6670(17)35986-4" @default.
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