39 citations · 84 across the 9 of their papers we have counts for
10 papers
Risk Analysis and Design Against Adversarial Actions
Marco C. Campi, Algo Carè, Luis G. Crespo +2
Learning models capable of providing reliable predictions in the face of adversarial actions has become a central focus of the machine learning community in recent years. This chal…
Isospectral flows on a class of finite-dimensional Jacobi matrices
Tobias Sutter, Debasish Chatterjee, Federico Ramponi +1
We present a new matrix-valued isospectral ordinary differential equation that asymptotically block-diagonalizes zero-diagonal Jacobi matrices employed as its initial c…
On mean-square boundedness of stochastic linear systems with quantized observations
Debasish Chatterjee, Peter Hokayem, Federico Ramponi +1
We propose a procedure to design a state-quantizer with finitely many bins for a marginally stable stochastic linear system evolving in , and a bounded policy based on the re…
Stochastic receding horizon control with output feedback and bounded control inputs
Peter Hokayem, Eugenio Cinquemani, Debasish Chatterjee +2
We provide a solution to the problem of receding horizon control for stochastic discrete-time systems with bounded control inputs and imperfect state measurements. For a suitable c…
On the well-posedness of multivariate spectrum approximation and convergence of high-resolution spectral estimators
Federico Ramponi, Augusto Ferrante, Michele Pavon
In this paper, we establish the well-posedness of the generalized moment problems recently studied by Byrnes-Georgiou-Lindquist and coworkers, and by Ferrante-Pavon-Ramponi. We the…
On the convergence of an efficient algorithm for Kullback-Leibler approximation of spectral densities
Augusto Ferrante, Federico Ramponi, Francesco Ticozzi
This paper deals with a method for the approximation of a spectral density function among the solutions of a generalized moment problem a` la Byrnes/Georgiou/Lindquist. The approxi…