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We then approximate the optimal control using the standard finite element method and study the approximation errors.
External disturbances and approximation errors are counteracted by robust signals.
Descriptives of approximation errors under different resolutions are presented.
Such a linear approximation implies almost no approximation errors.
The approximation errors introduced in the algorithm are discussed with respect to different window functions.
Using quadratic shape functions, we reduce approximation errors inherent to methods based on linear finite elements.
Properties of the finite approximation errors for the iterative ADP algorithm are also analyzed.
The bounds of neural network approximation errors are assumed to be unknown and are estimated online.
The fuzzy sliding mode control is introduced to attenuate the fuzzy approximation errors.
Since the algorithm uses the exact part geometry, offset path approximation errors are completely eliminated.
The approximation errors are higher in the second plot than in the third plot.
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