Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Regruto, Diego"'
The development of algorithms for secure state estimation in vulnerable cyber-physical systems has been gaining attention in the last years. A consolidated assumption is that an adversary can tamper a relatively small number of sensors. In the litera
Externí odkaz:
http://arxiv.org/abs/2405.20209
This paper addresses the problem of recursive set-membership identification for linear time varying (LTV) systems when both input and output measurements are affected by bounded additive noise. First we formulate the problem of online computation of
Externí odkaz:
http://arxiv.org/abs/2107.01714
We consider the problem of the recovery of a k-sparse vector from compressed linear measurements when data are corrupted by a quantization noise. When the number of measurements is not sufficiently large, different $k$-sparse solutions may be present
Externí odkaz:
http://arxiv.org/abs/1909.03705
The sparse linear regression problem is difficult to handle with usual sparse optimization models when both predictors and measurements are either quantized or represented in low-precision, due to non-convexity. In this paper, we provide a novel line
Externí odkaz:
http://arxiv.org/abs/1903.07156
Publikováno v:
In IFAC PapersOnLine 2023 56(2):10390-10395
Publikováno v:
In Automatica August 2020 118
Publikováno v:
In IFAC PapersOnLine 2020 53(2):1894-1899
In this paper we present a unified framework for solving a general class of problems arising in the context of set-membership estimation/identification theory. More precisely, the paper aims at providing an original approach for the computation of op
Externí odkaz:
http://arxiv.org/abs/1408.0532
Publikováno v:
In Automatica April 2018 90:25-37
Publikováno v:
In IFAC PapersOnLine 2018 51(15):1044-1049