1,721,016 research outputs found
Studio di fattibilità per l'introduzione di un robot industriale in un processo di produzione di medio-piccola serie
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Thermalization slowing down in multidimensional Josephson junction networks
Full text linkWe characterize thermalization slowing-down of Josephson junction networks in 1, 2 and 3 spatial dimensions for systems with hundreds of sites by computing their entire Lyapunov spectra. The ratio of Josephson coupling to energy density controls two different universality classes of thermalization slowing-down, namely the weak coupling regime, , and the strong coupling regime, . We analyze the Lyapunov spectrum by measuring the largest Lyapunov exponent and by fitting the rescaled spectrum with a general ansatz. We then extract two scales: the Lyapunov time (inverse of the largest exponent) and the exponent for the decay of the rescaled spectrum. The two universality classes, which exist irrespective of network dimension, are characterized by different ways the extracted scales diverge. The universality class corresponding to the weak-coupling regime allows for the coexistence of chaos with a large number of near-conserved quantities and is shown to be characterized by universal critical exponents, in contrast with the strong-coupling regime. We expect our findings, which we explain using perturbation theory arguments, to be a general feature of diverse Hamiltonian systems.6+8 pages, 3+6 figures. Published versio
Neuro-Fuzzy Techniques for the Air-Data Sensor Calibration
No full textThe paper is concerned with an innovative air-data sensor calibration procedure, carried out through neuro-fuzzy techniques based on adaptive neuro-fuzzy inference system (ANFIS) and co-active neuro-fuzzy inference system (CANFIS) models. In particular, attention is focused on a beta sideslip angle virtual sensor, and data used for the calibration are obtained through a series of simulations performed by means of the nonlinear dynamic model in 6 degrees of freedom of a high-performance combat aircraft. Several ANFIS and CANFIS architectures have been developed, tested, and compared with each other. Results of numerical simulations show the remarkable effectiveness of neuro-fuzzy techniques in the sensor calibratio
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