Search Results - "Chiuso, Alessandro"

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  1. 1

    The role of vector autoregressive modeling in predictor-based subspace identification by Chiuso, Alessandro

    Published in Automatica (Oxford) (01-06-2007)
    “…Subspace identification for closed loop systems has been recently studied by several authors. A class of new and consistent closed-loop subspace algorithms is…”
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  2. 2

    A Bayesian approach to sparse dynamic network identification by Chiuso, Alessandro, Pillonetto, Gianluigi

    Published in Automatica (Oxford) (01-08-2012)
    “…Modeling and identification of high dimensional systems, involving signals with many components, poses severe challenges to off-the-shelf techniques for system…”
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  3. 3

    Tuning complexity in regularized kernel-based regression and linear system identification: The robustness of the marginal likelihood estimator by Pillonetto, Gianluigi, Chiuso, Alessandro

    Published in Automatica (Oxford) (01-08-2015)
    “…Kernel-based regularization approaches have been successfully applied in the last years for regression purposes. Recently, these machine learning techniques…”
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  4. 4

    Sparse DCM for whole-brain effective connectivity from resting-state fMRI data by Prando, Giulia, Zorzi, Mattia, Bertoldo, Alessandra, Corbetta, Maurizio, Zorzi, Marco, Chiuso, Alessandro

    Published in NeuroImage (Orlando, Fla.) (01-03-2020)
    “…Contemporary neuroscience has embraced network science and dynamical systems to study the complex and self-organized structure of the human brain. Despite the…”
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  5. 5

    Machine Learning Estimation of the Phase at the Fading Points of an OFDR-Based Distributed Sensor by Aitkulov, Arman, Marcon, Leonardo, Chiuso, Alessandro, Palmieri, Luca, Galtarossa, Andrea

    Published in Sensors (Basel, Switzerland) (01-01-2023)
    “…The paper reports a machine learning approach for estimating the phase in a distributed acoustic sensor implemented using optical frequency domain…”
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  6. 6

    Distributed Kalman filtering based on consensus strategies by Carli, R., Chiuso, A., Schenato, L., Zampieri, S.

    “…In this paper, we consider the problem of estimating the state of a dynamical system from distributed noisy measurements. Each agent constructs a local…”
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  7. 7

    Macroscale coupling between structural and effective connectivity in the mouse brain by Benozzo, Danilo, Baron, Giorgia, Coletta, Ludovico, Chiuso, Alessandro, Gozzi, Alessandro, Bertoldo, Alessandra

    Published in Scientific reports (07-02-2024)
    “…Exploring how the emergent functional connectivity (FC) relates to the underlying anatomy (structural connectivity, SC) is one of the major goals of modern…”
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  8. 8

    Controlling target brain regions by optimal selection of input nodes by Manjunatha, Karan Kabbur Hanumanthappa, Baron, Giorgia, Benozzo, Danilo, Silvestri, Erica, Corbetta, Maurizio, Chiuso, Alessandro, Bertoldo, Alessandra, Suweis, Samir, Allegra, Michele

    Published in PLoS computational biology (01-01-2024)
    “…The network control theory framework holds great potential to inform neurostimulation experiments aimed at inducing desired activity states in the brain…”
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  9. 9

    Maximum Entropy vector kernels for MIMO system identification by Prando, Giulia, Chiuso, Alessandro, Pillonetto, Gianluigi

    Published in Automatica (Oxford) (01-05-2017)
    “…Recent contributions have framed linear system identification as a nonparametric regularized inverse problem. Relying on ℓ2-type regularization which accounts…”
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  10. 10

    A New Kernel-Based Approach for NonlinearSystem Identification by Pillonetto, G., Minh Ha Quang, Chiuso, A.

    Published in IEEE transactions on automatic control (01-12-2011)
    “…We present a novel nonparametric approach for identification of nonlinear systems. Exploiting the framework of Gaussian regression, the unknown nonlinear…”
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  11. 11

    Optimal Synchronization for Networks of Noisy Double Integrators by Carli, R, Chiuso, A, Schenato, L, Zampieri, S

    Published in IEEE transactions on automatic control (01-05-2011)
    “…In this technical note, we present a novel synchronization protocol to synchronize a network of controlled discrete-time double integrators which are…”
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  12. 12

    Consistency analysis of some closed-loop subspace identification methods by Chiuso, Alessandro, Picci, Giorgio

    Published in Automatica (Oxford) (01-03-2005)
    “…We study statistical consistency of two recently proposed subspace identification algorithms for closed-loop systems. These algorithms may be seen as…”
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  13. 13

    Sparse plus low rank network identification: A nonparametric approach by Zorzi, Mattia, Chiuso, Alessandro

    Published in Automatica (Oxford) (01-02-2017)
    “…Modeling and identification of high-dimensional stochastic processes is ubiquitous in many fields. In particular, there is a growing interest in modeling…”
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  14. 14

    The harmonic analysis of kernel functions by Zorzi, Mattia, Chiuso, Alessandro

    Published in Automatica (Oxford) (01-08-2018)
    “…Kernel-based methods have been recently introduced for linear system identification as an alternative to parametric prediction error methods. Adopting the…”
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  15. 15

    Control-oriented regularization for linear system identification by Formentin, Simone, Chiuso, Alessandro

    Published in Automatica (Oxford) (01-05-2021)
    “…In this paper, we develop a novel theoretical framework for control-oriented identification, based on a Bayesian perspective on modeling. Specifically, we show…”
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  16. 16

    Data-driven predictive control in a stochastic setting: a unified framework by Breschi, Valentina, Chiuso, Alessandro, Formentin, Simone

    Published in Automatica (Oxford) (01-06-2023)
    “…Data-driven predictive control (DDPC) has been recently proposed as an effective alternative to traditional model-predictive control (MPC) for its unique…”
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  17. 17

    Linear system identification using the sequential stabilizing spline algorithm by Pillonetto, Gianluigi, Chiuso, Alessandro

    Published in Automatica (Oxford) (01-04-2022)
    “…Paradoxically, even if stability (with its many facets) is the key concept in control, including system stability constraints in an identification procedure is…”
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  18. 18

    Information fusion strategies and performance bounds in packet-drop networks by Chiuso, Alessandro, Schenato, Luca

    Published in Automatica (Oxford) (01-07-2011)
    “…In this paper, we discuss suboptimal distributed estimation schemes for stable stochastic discrete time linear systems under the assumptions that…”
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  19. 19

    Prediction error identification of linear systems: A nonparametric Gaussian regression approach by Pillonetto, Gianluigi, Chiuso, Alessandro, De Nicolao, Giuseppe

    Published in Automatica (Oxford) (01-02-2011)
    “…A novel Bayesian paradigm for the identification of output error models has recently been proposed in which, in place of postulating finite-dimensional models…”
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  20. 20

    System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques by Tianshi Chen, Andersen, Martin S., Ljung, Lennart, Chiuso, Alessandro, Pillonetto, Gianluigi

    Published in IEEE transactions on automatic control (01-11-2014)
    “…Model estimation and structure detection with short data records are two issues that receive increasing interests in System Identification. In this paper, a…”
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