Data-based evaluation of nominal model robust performance under measurement noise
Trudy Instituta matematiki i mehaniki, Trudy Instituta Matematiki i Mekhaniki UrO RAN, Tome 16 (2010) no. 5, pp. 179-186
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The problem of robust performance evaluation is considered for a nominal model of controlled plant under unknown upper bounds of disturbances and perturbations. The identification criterion is in the form of the worst-case steady-state tracking error.
Keywords: robust control, measurement noise, model validation, errors quantification.
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V. F. Sokolov. Data-based evaluation of nominal model robust performance under measurement noise. Trudy Instituta matematiki i mehaniki, Trudy Instituta Matematiki i Mekhaniki UrO RAN, Tome 16 (2010) no. 5, pp. 179-186. http://geodesic.mathdoc.fr/item/TIMM_2010_16_5_a20/

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