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With the help of mathematical modeling, this article designs a "torque-zero velocity" switching controller and, correspondingly, provides a "dual-threshold judgment" algorithm.
Instead of mathematical modeling, this problem can be approached more fruitfully from a different dimension, taking advantage of the enormous power of contemporary supercomputers.
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By examining three developmental processes and corresponding mathematical models, this Review addresses the potential of mathematical modelling to help understand development.
Methods from multivariate data analysis are powerful tools for analyzing such data and for creating mathematical models; this is the essential part of today's chemometrics [1].
Here we perform a rapid analysis of the mathematical model, this type of model having been studied in more detail elsewhere [28], [31].
In our mathematical model this means a free choice in some parameter values within given intervals.
When combined with mathematical models, this information provides further insight into underlying mechanisms and important parameters that are unable to be extracted from experimental techniques.
Mathematical modeling of this coinfection dynamics predicted selection to be density dependent, which was confirmed experimentally.
Mathematical modeling of this network generated hypotheses as to how it functions.
The use of mathematical modeling for this purpose is well established in the literature (Sortrakul and Cassady 2007).
As a result, mathematical modeling like this may give a clearer picture than any individual government agency.
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