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Fuzzy entropy is the entropy of a fuzzy set, loosely representing the information of uncertainty.
The deterministic equivalent forms are further given when the information of uncertainty distributions is provided.
The celebrated small-gain approach to robust control only makes use of the gain information of uncertainty.
The conventional robust performance design methods are mostly based on the gain information of uncertainty, which is not suitable for uncertainties characterized by the phase information.
This approach should contribute to better understanding, assessment and potential spreading of visual information of uncertainty and help to appraise the data critically.
To relax the limitations associated with small-gain and passivity approaches, we explore the possibility of utilizing both the gain and the phase information of uncertainty in robust control design.
Similar(53)
In order to realize the robust optimization of uncertain structures in the absence of the probabilistic distribution information of uncertainties, several non-probabilistic methods have been proposed in recent years to account for the uncertainties [18, 19].
In addition, the fuzzy exponent of FCM objective function is adaptively determined by the total conflict degree between the MDI and spectral angle information (SAI) of uncertainty region in bitemporal images.
The questions that received the lowest score were related to sources of information, areas of uncertainty, side effects of treatments, effects of no treatment, effect on quality of life and shared decision-making.
The prior information of the uncertainty together with the available in-situ data is integrated to infer more informative posterior description of the uncertainty.
The controller designed here only uses the derivative information of the uncertainty.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com