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We consider a passivity based cooperative control problem, and show that the steady-state behavior of the networked system is intimately related to a family convex network optimization problems.
More precisely the problem here is to understand how local laws describing the behavior of the individual agents influence the global behavior of the networked system.
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Then we analyze the behavior of the network properties over this range.
We can then understand the behavior of the network by comparing how the activations change for different materials.
Idealize that what is missing from Asimov's thinking is the network, the structure, and the behavior of the network.
Does selection operate on the global dynamical behavior of the networks?
This stage is used to capture the typical behavior of the network.
A semiquantitative model was able to capture and predict the behavior of the network.
Simulation results successfully validate the analytical models and the asymptotic behavior of the network as a function of its size.
The percolation behavior of the network is studied using the Monte Carlo method, which leads to the determination of the critical fiber volume fraction (or the percolation threshold).
The value of CA determines the behavior of the network.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com