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Your search keyword '"de Luca, Andrea"' showing total 17 results
Start Over Author "de Luca, Andrea" Publication Type Conference Materials
17 results on '"de Luca, Andrea"'

3. GaN-on-Si Thermoresistive Flow Sensor with Gold Hot-wire

Author

Jones, G. Rhys, primary, Gardner, Julian W., additional, Vincent, Timothy, additional, De Luca, Andrea, additional, Longobardi, Giorgia, additional, Eblabla, Abdalla, additional, Elgaid, Khaled, additional, Wotherspoon, Tracy, additional, Birch, Richard, additional, and Udrea, Florin, additional

Published
2019
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9. Working towards graphene-based detectors for high sensitivity photodetection

Author

Williams, Jamie O D, primary, Lapington, Jon S, additional, Roy, Mervyn, additional, Hutchinson, Ian B, additional, Alexander-Webber, Jack A, additional, Sagade, Abhay A, additional, Martin, Marie-Blandine, additional, Braeuninger-Weimer, Philipp, additional, Cabrero-Vilatela, Andrea, additional, Wang, Ruizhi, additional, De Luca, Andrea, additional, Udrea, Florin, additional, and Hofmann, Stephan, additional

Published
2016
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10. CMOS-compatible SOI micro-hotplate-based oxygen sensor

Author

Avramescu, Viorel, primary, De Luca, Andrea, additional, Brezeanu, Mihai, additional, Ali, Syed Zeeshan, additional, Udrea, Florin, additional, Buiu, Octavian, additional, Cobianu, Cornel, additional, Serban, Bogdan, additional, Gardner, Julian, additional, Dumitru, Viorel, additional, and Stratulat, Alisa, additional

Published
2016
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14. Ergodicity breaking and wave-function statistics in disordered interacting systems.

Author

De Luca, Andrea

Subjects
WAVE functions, MANY-body problem, EIGENFUNCTIONS, HILBERT space, ANDERSON localization, HAMILTONIAN systems, GREEN'S functions, MULTIFRACTALS
Abstract

We present the study of the structure of many-body eigenfunctions in a one-dimensional disordered spin chain. We discuss the choice of an appropriate basis in the Hilbert space, where the problem can be seen as an Anderson model defined on a high-dimensional non-trivial graph, determined by the many-body Hamiltonian. The comparison with the usual behavior of wave-functions in finite dimensional Anderson localization allows us to put in light the main differences of the many-body case. At high disorder, the typical eigenfunctions do not seem to localize though they occupy a infinitesimal portion of the Hilbert space in the thermodynamic limit. We perform a detailed analysis of the distribution of the wave-function coefficients and their peculiar scaling in the small and large disorder phase. We propose a criterion to identify the position of the transition by looking at the long tails of these distributions. The results coming from exact diagonalization show signs of breaking of ergodicity when the disorder reaches a critical value that agrees with the estimation of the many-body localization transition in the same model. [ABSTRACT FROM AUTHOR]

Published
2014
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17. Performance degradation diagnosis and remedies in offset-free MPC.

Author

Pannocchia, Gabriele and De Luca, Andrea

Abstract

Linear offset-free MPC algorithms augment the internal model with integrating “disturbances”, which are estimated from output measurements along with the model states. We develop in this paper a performance monitoring strategy for general offset-free MPC algorithms, in which we use the prediction error sequence to detect whether the internal model is correct and/or the augmented state estimator is appropriate. When the prediction error is a white noise signal, revealed by the Ljung-Box test, optimal performance is detected. Otherwise, we use a closed-loop subspace identification approach to reveal the order of a minimal realization of the system from the deterministic input to the prediction error. We prove that, if such order is zero, the model is correct and the source of suboptimal performance is an incorrect estimator. In such cases, we propose an optimization method to recalculate the correct augmented state estimator. If, instead, such order is greater than zero we prove that the model is incorrect, and re-identification is suggested. Two illustrative examples are presented. [ABSTRACT FROM PUBLISHER]

Published
2012
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