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The paper describes the robust algorithm for linear time-invariant plantsunder parametric uncertainties, external disturbances and high-frequency noisesin measurements. The proposed algorithm allows one to reduce the noise impacton the output variable of the plant and to compensate parametric uncertaintiesand external disturbances independently. The modeling results illustrate theeffectiveness of the algorithm.

Robust Stabilization of Linear Plants Under Uncertainties and High-Frequency Measurement Noises