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Figure 1 Convergence behavior of the distributed algorithm in case of noisy measurements for different values of, and. Figure 2 Convergence behavior of the distributed algorithm in case of noisy measurements for different values of the step sizes and.
Figure 3 Convergence behavior of the distributed algorithm in case of noisy measurements,, for the biased and unbiased case.
We will describe the behavior of the distributed algorithm from a network (global) point of view with the corresponding vector/matrix notation.
For the limit case Pe→∞ the spatial behavior of the distributed system is analogous to the temporal behavior of the related CSTR problem.
From these results alone, it is difficult to extrapolate the behavior of the distributed nonlinear systems more commonly seen in real structures such as buckled beams and curved panels.
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In his investigation, he studied the steady-state behavior of the generally distributed system.
Moreover, the steady-state behavior of the proposed distributed fusion filter is analyzed.
To gain insight into the behavior of the iterative distributed power control scheme, we study a small system in which we calculate the local optimum power setting assuming full channel knowledge and compare the performance of the heuristic iterative method relying on the D2D geometry (i.e. large scale fading information) with that of the scheme that provides the local optimum.
In order to reduce the influence of the distant past behaviors of the state, distributed delays are introduced to describe this property.
Interestingly, this type of locality-driven strategy, which seeks to align the logical behavior of a distributed system with the shape of its physical deployment, can be transposed to cloud-based infrastructures, with substantial performance gains as exemplified by Camdoop [56].
In this attack pattern, the behavior of each distributed attack flows are normal and nonperiodic, while the aggregated effect has the same damage degree as traditional square wave LDoS attacks.
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