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By incorporating different biomaterials, the properties such as porosity, structural stability, osteoinductivity, osteogenicity of collagen matrixes can be largely improved.
Secondly, based on the obtained conditions, the filter parameter matrixes can be obtained in terms of linear matrix inequalities (LMIs).
This kind of bi-scaled three dimensional matrixes can be superior candidate scaffolds for tissue engineering applications.
Some composite data matrixes can be calculated in advanced and stored in memory before performing estimation algorithm.
The matrixes can be obtained and updated according to the history observation, and in simulation, they keep constant.
With the provided temporal traffic flow profiles and other inputs, the attribute matrixes can be automatically updated and the dynamic charging load of the specific CS could be simulated, based on the proposed traffic-power simulation framework which includes all above modules, i.e., evolution rules for the CA model.
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Right, and of course matrices can be rectangular.
The complete rank product tables and all autocorrelation matrices can be found in the Supplementary Files.
More generally, the identity matrix can be replaced by any permutation matrix [155, p. 126].
By solving those LMIs, filter gain matrices can be calculated.
The corresponding stiffness matrix can be determined and realized accordingly.
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