Výsledky vyhledávání - "Savorgnan, C"

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Adjoint-based predictor-corrector sequential convex programming for parametric nonlinear optimization

Autor: Dinh, Q. Tran, Savorgnan, C., Diehl, M.

This paper proposes an algorithmic framework for solving parametric optimization problems which we call adjoint-based predictor-corrector sequential convex programming. After presenting the algorithm, we prove a contraction estimate that guarantees t

Externí odkaz: http://arxiv.org/abs/1109.2800

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Akademický článek

Approximate Volume and Integration for Basic Semialgebraic Sets

Autor: Henrion, D., Lasserre, J. B., Savorgnan, C.

Publikováno v: SIAM Review, 2009 Dec 01. 51(4), 722-743.

Externí odkaz: https://www.jstor.org/stable/25662339

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Akademický článek

Multiple shooting for distributed systems with applications in hydro electricity production

Autor: Savorgnan, C., Romani, C., Kozma, A., Diehl, M.

Publikováno v: In Journal of Process Control 2011 21(5):738-745

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Assisted/autonomous vs. human driving assessment on the DiM driving simulator using objective/subjective characterization

Autor: Affanni, A., Zontone, P., Fenici, Riccardo, Brisinda, Donatella, Bacchin, D., Gamberini, L., Pluchino, P., Bruschetta, M., Savorgnan, C., Formaggia, F., Minen, M., Minen, D.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2601::9d16922a3673fa0a1cc1e57a67c8f1a7
https://hdl.handle.net/10807/222851

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Reliability of low electrocardiogram sampling frequencies for short-term heart rate variability analysis to estimate transient psychophysiological stress induced by car driving

Autor: Brisinda, Donatella, Di Florio, E, Formaggia, F, Savorgnan, C, Minen, M, Fenici, Riccardo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2601::f887514b6f347bc267ad66b8e453cfa0
http://hdl.handle.net/10807/212287

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A comparison of distributed MPC schemes on a hydro-power plant benchmark

Autor: Maestre, J. M., Ridao, M. A., Kozma, A., Savorgnan, C., Diehl, M., Doan, M. D., Sadowska, A., Keviczky, T., De Schutter, B., Scheu, H., Marquardt, W., Valencia, F., Espinosa, J.

Publikováno v: Optimal Control Applications and Methods
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In this paper, we analyze and compare five distributed model predictive control (DMPC) schemes using a hydro‐power plant benchmark. Besides being one of the most important sources of renewable power, hydro‐power plants present very interesting co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::9bf72e44b08351d5d16f67d2e74f707a

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Akademický článek

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Kniha

Distributed Multiple Shooting for Large Scale Nonlinear Systems.

Autor: Kozma, A., Savorgnan, C., Diehl, M.

Publikováno v: Distributed Model Predictive Control Made Easy; 2014, p327-340, 14p

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Conference

Discrete-time stochastic optimal control via occupation measures and moment relaxations.

Autor: Savorgnan, C., Lasserre, J.B., Diehl, M.

Publikováno v: Proceedings of the 48h IEEE Conference on Decision & Control (CDC) Held Jointly with 2009 28th Chinese Control Conference; 2009, p519-524, 6p

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Conference

Distributed nonlinear optimal control using sequential convex programming and smoothing techniques.

Autor: Necoara, I., Savorgnan, C., Tran, D.Q., Suykens, J., Diehl, M.

Publikováno v: Proceedings of the 48h IEEE Conference on Decision & Control (CDC) Held Jointly with 2009 28th Chinese Control Conference; 2009, p543-548, 6p

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