The thermally coupled distillation configurations have received considerable attention because of their efficiency to reduce the energy required for the separation of ternary mixtures. The structure of the complex systems offers some control challenges arising from the transfer of vapor (or liquid) streams between the columns. Recently, some alternate schemes to thermally coupled distillation a...

We introduce a new approach to constructing networks with realistic features. Our method, in spite of its conceptual simplicity (it has only two parameters) is capable of generating a wide variety of network types with prescribed statistical properties, e.g., with degree or clustering coefficient distributions of various, very different forms. In turn, these graphs can be used to test hypothese...

Abstract The cortex is a very large network characterized by a complex connectivity including at least two scales: a microscopic scale at which the interconnections are non-specific and very dense, while macroscopic connectivity patterns connecting different regions of the brain at larger scale are extremely sparse. This motivates to analyze the behavior of networks with multiscale coupling, in...

This paper discusses theoretical foundations for the modeling, analysis and control of chemical process networks that are tightly integrated through complex material, energy and information flows. The physical behavior of process networks is described using fundamental concepts from classical thermodynamics, while time-scale decomposition and singular perturbation theory provide the basis for e...

in this paper, the solution of a moving volterra-type screw dislocation in an orthotropic layer, bonded between two piezoelectric layers is obtained using complex fourier transform. the dislocation solution is then employed as strain nuclei to derive singular integral equations for a medium weakened by multiple moving cracks. these equations, which are classified as, cauchy singular equations, ...

We propose a new methodology to evaluate the balance between segregation and integration in functional brain networks by using Singular Value Decomposition techniques. By means of magnetoencephalography, we obtain the brain activity of a control group of nineteen individuals during a memory task. Next, we project the node-to-node correlations into a complex network which is analyzed from the pe...