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We take into account model uncertainty in two steps.
There are several approaches to model uncertainty in optimization problems such as stochastic optimization and fuzzy optimization.
To model uncertainty in preferences, small perturbations can be introduced into goals, weights, or reference vector-based methods.
Recent research has established the utility of adaptive bounds on model uncertainty in adaptive approximation-based control.
It was observed that the random matrix theory can be used to quantify damping model uncertainty in some cases.
Moreover, disregarding of the pour-ribs was identified as a source of model uncertainty in previous studies.
Similar(21)
There always exist noise disturbances and model uncertainties in real physical systems.
A probabilistic approach is used to model uncertainties in the fluid structure interaction.
The potential impact of our analysis on utility of models and model uncertainties in decision-making process is discussed.
A model-based design and tuning procedure is proposed for feedforward controllers, which accounts for model uncertainties in SISO systems.
In particular, Esthehardian et al. (2009) applied fuzzy numbers in order to model uncertainties in activities concerning execution time and cost.
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