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To ensure a practically reachable trajectory, this paper proposes a constraint reference frame to develop MAPF so that the decomposed forces from MAPF can be matched with the physical constraints of the UAV for online adjustment.
Results show that the approach with RBFNN and online adjustment has a better predicting performance.
In addition, Multiple Linear Regression model, BP Neural Networks and RBFNN without online adjustment are used in contrast.
Online adjustment of the filter order in infinite impulse filter (IIR) or finite impulse filter (FIR) is unreasonable because all filter coefficients need to be recomputed when the filter order is increased or decreased, which will cause undesirable transients.
The online adjustment requirement of the expansion valve was also investigated using the present simulation technique.
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