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The zero phase-field contour is used to implicitly track the sharp interface on a fixed grid.
The numerical procedure combines a deterministic particle type computation with a process for periodically reconstructing the distribution function on a fixed grid.
The total number and the exact positions of luminaires are not predefined (even though possible positions lay on a fixed grid layout), thus the genetic algorithm system has a large degree of freedom in the designing process.
These adaptive waveform techniques assume that the measurements are processed using matched filters on a fixed grid.
A particle filter selects measurements based on the belief on the target state instead of collecting measurements exhaustively on a fixed grid.
So far, the controllers proposed for UPQCs have always relied on a fixed grid frequency but, nowadays, the interest in using the UPQC for microgrids (even in island mode) is also increasing [7, 8] and this scenario will certainly require to tackle power quality issues with grid frequency variations larger than those experimented in classical distribution networks [9, 10].
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With this approach, we do not need to exhaustively collect measurements on all points of a fixed grid.
Our scheme is based on a combination of a fixed grid-based method, known for its scalability, and a region-based strategy, which provides greater accuracy than the fixed grid-based method.
Based on Normalized Variable Diagram (NVD), a high order discretization scheme with unstructured grids is realized, together with a numerical method for free surface flow with a fixed grid.
The field equations are solved on the underlying fixed grid using a collocated variable, pressure-based formulation.
Thanks to the SOM rigid grid and cooperative adaptation, the SOM produces a topology preserving mapping of the data space onto a (lower-dimensional) fixed grid on the prototype level.
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