However, in practical evaluation this sequence is approximated by the computed sequence, say, To find the function is approximated by Therefore, the computed sequence satisfies the recurrence relation.
This average function is approximated (c) by D, a function which itself is the result of filtering.
This distribution function is approximated as a Gaussian distribution: lleft textbf{a} right) sim mathcal{N}left({mu,Sigma^{2}} right), (35).
In this way, for each value of M, the function was approximated by two lines.
In this work, the density distribution function is approximated in the velocity space by a small number of basis functions computed offline.
It also can be cast as a function approximation problem in which a complex target function is approximated by a weighted sum of multiple simpler functions, such as radial basis functions or wavelets.
By using neural network, the unknown nonlinear function is approximated and a robustifying term is used to reduce the approximation error and compensate the effect of external disturbance.
In this section we propose a novel adaptive backstepping controller in which the uncertain nonlinear function is approximated by RBFNNs.
In the FK step, the square root function is approximated with 384 segments in the range of [0.25, 1] with a maximum approximation error of, while the sine and cosine functions are approximated with 512 segments in the range of [0, 2] with a maximum approximation error of.
The nonsmooth function is approximated by a smooth operator.
