ОЦІНЮВАННЯ ПАРАМЕТРІВ В ЛІНІЙНИХ БАГАТОВИМІРНИХ СИСТЕМАХ З ІНТЕРВАЛЬНОЮ НЕВИЗНАЧЕНІСТЮ
This paper is devoted to the estimation of parameters for linear multidimensional models with interval uncertainty in data. In addition to the additive measurement noise the multiplicative matrix uncertainty is assumed to be in the model. This allows to treat a more general class of uncertain plants...
Збережено в:
| Дата: | 2006 |
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| Автори: | , |
| Формат: | Стаття |
| Мова: | Ukrainian |
| Опубліковано: |
V.M. Glushkov Institute of Cybernetics of NAS of Ukraine
2006
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| Онлайн доступ: | https://jais.net.ua/index.php/files/article/view/396 |
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| Назва журналу: | Problems of Control and Informatics |
Репозитарії
Problems of Control and Informatics| Резюме: | This paper is devoted to the estimation of parameters for linear multidimensional models with interval uncertainty in data. In addition to the additive measurement noise the multiplicative matrix uncertainty is assumed to be in the model. This allows to treat a more general class of uncertain plants. Outer-bounding interval approximations of the non-convex feasible parameter sets (information sets) for uncertain systems are obtained. The method is based on the solution of the interval systems of linear algebraic equations and provides a parameters estimation for static models with large number of measurements. |
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