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.
@article{TIMM_2010_16_5_a20,
author = {V. F. Sokolov},
title = {Data-based evaluation of nominal model robust performance under measurement noise},
journal = {Trudy Instituta matematiki i mehaniki},
pages = {179--186},
publisher = {mathdoc},
volume = {16},
number = {5},
year = {2010},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/TIMM_2010_16_5_a20/}
}
TY - JOUR AU - V. F. Sokolov TI - Data-based evaluation of nominal model robust performance under measurement noise JO - Trudy Instituta matematiki i mehaniki PY - 2010 SP - 179 EP - 186 VL - 16 IS - 5 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/TIMM_2010_16_5_a20/ LA - ru ID - TIMM_2010_16_5_a20 ER -
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/