Improved probabilistic point estimation schemes for uncertainty analysis
نویسندگان
چکیده
منابع مشابه
Probabilistic Optimal Estimation under Uncertainty
The classical approach to system identification is based on stochastic assumptions about the measurement error, and provides estimates that have random nature. Worst-case identification, on the other hand, only assumes the knowledge of deterministic error bounds, and establishes guaranteed estimates, thus being in principle better suited for the use in control design. However, a main limitation...
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The classical approach to system identification is based on stochastic assumptions about the measurement error, and provides estimates that have random nature. Worst-case identification, on the other hand, only assumes the knowledge of deterministic error bounds, and establishes guaranteed estimates, thus being in principle better suited for the use in control design. However, a main limitation...
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ژورنال
عنوان ژورنال: Applied Mathematical Modelling
سال: 2009
ISSN: 0307-904X
DOI: 10.1016/j.apm.2007.12.022