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Next, we characterize a class of nonlinear systems for which a high gain observer can designed.
Des Rivières and Levesque (1988) characterize a class of sentences within which these schemes can safely be instantiated.
Next, we characterize a class of nonlinear systems for which a high gain observer can be designed.
We characterize a class of probabilistic choice models where the choice probabilities depend on two scales, one with a value for each available option and the other with a value for the set of available options.
We characterize a class of norms on the k-super minimal operator systems and show that the completely bounded versions of these norms provide a criterion for testing the Schmidt number of a quantum state that generalizes the recently-developed separability criterion based on trace-contractive maps.
We shall characterize a class of vector-valued Besov spaces in this section.
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Recently we characterized a class of anti-cancer agents (curaxins) that disturbs DNA/histone interactions within nucleosomes.
We are analyzing Spindle Pole Body (SPB) replication and function during meiosis and have characterized a class of mutants that have disorganized SPB components and abnormal telomere clustering.
This paper characterizes a class of linear systems preserving passivity under sampling and introduces a new methodology preserving continuoustime passivity under discretization.
In addition, we investigate the conditions under which a mental state model exists, characterizing a class of "goal-seeking" agents that can be modeled in this manner; and we suggest two criteria for choosing between consistent models, showing conditions under which they lead to a unique choice of model.
We previously characterized a class of tra1 alleles having mutations within the PI3K domain (Mutiu et al. 2007a).
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CEO of Professional Science Editing for Scientists @ prosciediting.com