Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Mauro Bisiacco"'
Publikováno v:
Neurocomputing, 545
Estimating a set of orthogonal functions from a finite set of noisy data plays a crucial role in several areas such as imaging, dictionary learning and compressed sensing. The problem turns out especially hard due to its intrinsic non-convexity. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4b9064d2c1502dff6c8e7b120667b1d
Autor:
Mauro Bisiacco, Gianluigi Pillonetto
Publikováno v:
SIAM Journal on Control and Optimization. 58:2006-2022
Regularized approaches have been successfully applied to linear system identification in recent years; many of them model unknown impulse responses exploiting the so-called Reproducing Kernel Hilbe...
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)
Understanding the SARS-CoV-2 dynamics has been subject of intense research in the last months. In particular, accurate modeling of lockdown effects on human behaviour and epidemic evolution is a key issue in order e.g. to inform health-care decisions
Autor:
Mauro Bisiacco, Gianluigi Pillonetto
Publikováno v:
Annual Reviews in Control
While many efforts are currently devoted to vaccines development and administration, social distancing measures, including severe restrictions such as lockdowns, remain fundamental tools to contain the spread of COVID-19. A crucial point for any gove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::115e1c9ef4033fdfb5723606804262b5
Publikováno v:
CDC
In this paper we present some preliminary results about the consensus problem in the behavioral approach. Specifically, we consider a group of N homogeneous agents whose dynamics are described by the same (linear and time-invariant) behavioral model,
Autor:
Gianluigi Pillonetto, Mauro Bisiacco
Publikováno v:
Automatica. 118:109038
Reproducing kernel Hilbert spaces (RKHSs) are key spaces for machine learning that are becoming popular also for linear system identification. In particular, the so-called stable RKHSs can be used to model absolutely summable impulse responses. In co
Autor:
Maria Elena Valcher, Mauro Bisiacco
Publikováno v:
Multidimensional Systems and Signal Processing. 26:459-479
In this paper the dead-beat control problem, by partial interconnection, of two-dimensional (2D) discrete behaviors, defined on the grid $$\mathbb{Z }_+\times \mathbb{Z }$$ Z + × Z and having the time as (first) independent variable, is investigated
Autor:
Mauro Bisiacco, Maria Elena Valcher
Publikováno v:
SIAM Journal on Control and Optimization. 51:195-220
In this paper two-dimensional (2D) discrete behaviors, defined on the grid $\mathbb{Z}_+\times \mathbb{Z}$ and having the time as (first) independent variable, are investigated. For these behaviors, by emphasizing the causality notion that is natural
Autor:
Mauro Bisiacco, Maria Elena Valcher
Publikováno v:
IEEE Transactions on Automatic Control. 57:2163-2175
In this paper, the concepts of controllability and zero-controllability of a variable w , appearing either in a standard or in a latent variable description (as manifest variable), are introduced and characterized. By assuming this perspective, the d
Autor:
Mauro Bisiacco, Maria Elena Valcher
Publikováno v:
Systems & Control Letters. 55:894-899
In this paper, the fault detection and isolation problem for two-dimensional (2D) state-space models is investigated in a rather general setting, by assuming that disturbances may affect the system. In a recent contribution [M. Bisiacco, M.E. Valcher