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An integrated mathematical tool is presented to simultaneously design powertrain and control strategies for PEM fuel cell hybrid vehicles.
Additionally, the response surface meta-model, as a cost-effective mathematical tool, is built for optimizing the system's performance.
The main mathematical tool is a regularized magnetic and geometric perturbation theory combined with elliptic regularity and Agmon Combes Thomas uniform exponential decay estimates.
For the reasons stated in Part 1 of the paper, this powerful mathematical tool is associated with a Hamiltonian dynamic model for the mechanical system.
As a consequence, a mathematical tool is now available to support design modifications of the biomass burner, combining simplicity, reliability and economy.
To do so, a concrete mathematical tool is applied to solve a set of complicated high-order coupled equations of motion for a layered magneto-electro-elastic structure.
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The results from the mathematical tool were validated against the experimental data set from literature.
The matrices that are its main mathematical tool are usually taught as a simplifying notation, and Professor Strang covers this idea.
This mathematical tool was further developed by Lee et al. and applied in image analyses [ 24, 25], and then in the analysis of gene expression data [ 26] and genomic copy number data [ 17, 23].
Moreover, the availability of reliable and comprehensive mathematical tools is recognized as a key to develop cost effective and highly performing innovative powertrains.
Therefore development of new mathematical tools is necessary.
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