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- W2012300618 abstract "The power of sensitivity theory used for the design of linear quadratic optimal regulators is discussed. It is shown that a reduction in the L2-norm of the trajectory sensitivity function and in the maximal magnitude of the inverse of the return difference can be obtained modifying the weighting matrix Q according to the sensitivity with respect to parameter variations for each state variable. A general rule is given that provides a trade-off of sensitivity reduction versus increase in the performance index. The efficiency for the continuous and discrete case of the LQR is demonstrated with two examples." @default.
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- W2012300618 title "Sensitivity reduction of the linear quadratic regulator by matrix modification" @default.
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- W2012300618 doi "https://doi.org/10.1080/00207178808906170" @default.
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