Synchronization of the Frenet-Serret linear system with a chaotic nonlinear system by feedback of states

A synchronization procedure of the generalized type in the sense of Rulkov et al [Phys. Rev. E 51, 980 (1995)] is used to impose a nonlinear Malasoma chaotic motion on the Frenet-Serret system of vectors in the differential geometry of space curves. This could have applications to the mesoscopic motion of biological filamentsComment: 12 pages, 7 figures, accepted at Int. J. Theor. Phy

The measurement of social stratification : comparative perspectives between Europe and Latin America

Production of INCASI Project H2020-MSCA-RISE-2015 GA 691004This chapter analyses compared social stratification in three Latin American countries (Argentina, Chile and Uruguay) and four European countries (Finland, France, Spain, Great Britain). We focus on both external and internal borders of social classes, as well as on the challenges posed by their analysis for sociology. We compare social classes using EGP6 in relation to a variety of social indicators, to examine how social classes vary among countries. We include debates on production models and welfare state policies to understand the specific configurations and compare the conditions of some of the INCASI countries regarding social stratification. Lastly, we apply a latent class analysis to validate the number of social classes and to recognise class boundaries

Measurement of event background fluctuations for charged particle jet reconstruction in Pb-Pb collisions at sNN=2.76\sqrt{s_{\rm NN}} = 2.76 TeV

The effect of event background fluctuations on charged particle jet reconstruction in Pb-Pb collisions at $\sqrt{s_{\rm NN}} = 2.76$ TeV has been measured with the ALICE experiment. The main sources of non-statistical fluctuations are characterized based purely on experimental data with an unbiased method, as well as by using single high $p_{\rm T}$ particles and simulated jets embedded into real Pb-Pb events and reconstructed with the anti-$k_{\rm T}$ jet finder. The influence of a low transverse momentum cut-off on particles used in the jet reconstruction is quantified by varying the minimum track $p_{\rm T}$ between 0.15 GeV/$c$ and 2 GeV/$c$. For embedded jets reconstructed from charged particles with $p_{\rm T} > 0.15$ GeV/$c$, the uncertainty in the reconstructed jet transverse momentum due to the heavy-ion background is measured to be 11.3 GeV/$c$ (standard deviation) for the 10% most central Pb-Pb collisions, slightly larger than the value of 11.0 GeV/$c$ measured using the unbiased method. For a higher particle transverse momentum threshold of 2 GeV/$c$, which will generate a stronger bias towards hard fragmentation in the jet finding process, the standard deviation of the fluctuations in the reconstructed jet transverse momentum is reduced to 4.8-5.0 GeV/$c$ for the 10% most central events. A non-Gaussian tail of the momentum uncertainty is observed and its impact on the reconstructed jet spectrum is evaluated for varying particle momentum thresholds, by folding the measured fluctuations with steeply falling spectra.Comment: 21 pages, 5 captioned figures, 3 tables, authors from page 16, published version, figures at http://aliceinfo.cern.ch/ArtSubmission/node/350

Neutral pion and η\eta meson production in proton-proton collisions at s=0.9\sqrt{s}=0.9 TeV and s=7\sqrt{s}=7 TeV

The first measurements of the invariant differential cross sections of inclusive $\pi^0$ and $\eta$ meson production at mid-rapidity in proton-proton collisions at $\sqrt{s}=0.9$ TeV and $\sqrt{s}=7$ TeV are reported. The $\pi^0$ measurement covers the ranges $0.4<p_T<7$ GeV/$c$ and $0.3<p_T<25$ GeV/$c$ for these two energies, respectively. The production of $\eta$ mesons was measured at $\sqrt{s}=7$ TeV in the range $0.4<p_T<15$ GeV/$c$. Next-to-Leading Order perturbative QCD calculations, which are consistent with the $\pi^0$ spectrum at $\sqrt{s}=0.9$ TeV, overestimate those of $\pi^0$ and $\eta$ mesons at $\sqrt{s}=7$ TeV, but agree with the measured $\eta/\pi^0$ ratio at $\sqrt{s}=7$ TeV.Comment: 17 pages, 5 captioned figures, 2 tables, authors from page 12, published version, figures at http://aliceinfo.cern.ch/ArtSubmission/node/310

Secure multiple signal transmission using chaos synchronization

In this contribution we present the secure transmission of several signals based on chaos synchronization. The idea is to transmit as many signals as system states in secure manner. It is required that the transmitted chaotic attractor does not change in order to maintain the security level. The method is based on the Multiple-Input and Multiple-Output (MIMO) control theory for nonlinear systems. Moreover the Transmitter and Receiver synchronizes in spite of the uncertainties in both systems. In this sense the secure communication scheme is robust. We illustrate the result using synchronization of similar systems

Secure multiple signal transmission using chaos synchronization

In this contribution we present the secure transmission of several signals based on chaos synchronization. The idea is to transmit as many signals as system states in secure manner. It is required that the transmitted chaotic attractor does not change in order to maintain the security level. The method is based on the Multiple-Input and Multiple-Output (MIMO) control theory for nonlinear systems. Moreover the Transmitter and Receiver synchronizes in spite of the uncertainties in both systems. In this sense the secure communication scheme is robust. We illustrate the result using synchronization of similar systems

Robot pose estimation based on visual information and particle swarm optimization

A robust tracking controller for robot manipulators measuring only the angular positions and considering model uncertainties is presented. It is considered that the model is uncertain; that is, the system parameters, nonlinear terms, external perturbations, and the friction effects in each robot joint are considered unknown. The controller is composed by two parts, a linearizing-like control feedback and a high-gain estimator. The main idea is to lump the uncertain terms into a new state which represents the dynamics of the uncertainties. This new state is then estimated in order to be compensated. In this way the resulting controller is robust. A numerical example for a RR robot manipulator is provided, in order to corroborate the results. Copyright " 2012 G. Sols-Perales and R. Pen-Escalante.",,,,,,"10.1155/2012/271705",,,"http://hdl.handle.net/20.500.12104/44297","http://www.scopus.com/inward/record.url?eid=2-s2.0-84864950559&partnerID=40&md5=88e8a2e71285f80ca7076dfa144db4ed",,,,,,,,"Modelling and Simulation in Engineering",,,,"2012",,"Scopus",,,,,,,,,,,,"Robust adaptive tracking control of a class of robot manipulators with model uncertainties",,"Article" "46073","123456789/35008",,"Lopez-Franco, C., CS Dep., CUCEI, University of Guadalajara, Mexico; Gomez-Avila, J., CS Dep., CUCEI, University of Guadalajara, Mexico; Arana-Daniel, N., CS Dep., CUCEI, University of Guadalajara, Mexico; Alanis, A.Y., CS Dep., CUCEI, University of Guadalajara, Mexico",,"Lopez-Franco, C