Sentence examples for based approximation of the from inspiring English sources

Several modifications of the original LQR-trees algorithm are introduced in this contribution, which includes a discretization based approximation of the funnel, the exploration of symmetric property of the double pendulum and the coverage of a design set which has a lower dimension than the state space.

One potential problem of this approach is the lack of robustness when the simlllation data sparsely cover the state space and the data-based approximation of the cost-to-go function is extrapolated to a region previously unseen.

Pole-based approximation of the Fermi-dirac function.

Functionally these interactions allow to extract edges and ridges, providing an edge-based approximation of the visual information.

where the sampled-based approximation of the posterior pdf in the previous time step has been used.

Particle filter (PF) is an emerging signal processing methodology, which can effectively deal with nonlinear and non-Gaussian signals by a sample-based approximation of the state probability density function.

Zhang et al. [32] presents a queueing network model where each queue represents a tier of a web application, which is parameterized by means of a regression-based approximation of the CPU demand of customer transactions.

They estimate the particle-based approximation of the posterior probability density function (PDF) of the positions of all unknown nodes, given the likelihood and a prior PDF of the positions of all unknown nodes.

All the extrinsic mutual information measurements of the EXIT curves and the tracepoints were obtained using the histogram-based approximation of the L A or L E probability density functions (PDFs) [11].

Particle filter (PF) [1 5] is an emerging signal processing methodology, which succeeds in dealing with nonlinear and non-Gaussian signals by a sample-based approximation of the state PDF.

Using the analytical solution (55) and (56), where the used eigenvalues are λ i udft / ℋ 1 = σ s 2 c i 2 σ w 2. With FFT-based approximation of the PDF from the characteristic function given by φ T y / ℋ 1 τ = ∏ n = 0 L - 1 1 - j σ s 2 c i 2 σ w 2 τ - N (65).