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Describe a high-throughput method for the analysis of uncertain models, e.g. in biological research.
This paper deals with the designs of observers (software sensors) for uncertain models of wastewater treatment.
Finally, the idea of uncertain models is illustrated by a numerical experiment.
Our literature on disaster relief is divided into two classifications: deterministic and uncertain models in humanitarian logistics.
As the sample time is decreased, the two approaches also yield identical performance for unmeasured disturbances or uncertain models.
This paper deals with the design of robust observers for uncertain models, with application to the activated sludge process.
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Following Bayes' rule, a general approach for inverse modeling problems is to sample from the posterior distribution of the uncertain model parameters given the observations.
The possible listing of a healthy species like the polar bear would be based on uncertain modeling of possible effects.
We consider four uncertain model components.
First, fuzzy mathematical programming is introduced for uncertain modeling.
Propose a bi-level uncertain model with robust optimizations.
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