1 citations · 2 across the 4 of their papers we have counts for
5 papers
Tight bounds on the convergence rate of generalized ratio consensus algorithms
Balázs Gerencsér, László Gerencsér
The problems discussed in this paper are motivated by general ratio consensus algorithms, introduced by Kempe, Dobra, and Gehrke (2003) in a simple form as the push-sum algorithm,…
Empirical characteristic function identification of linear stochastic systems with possibly unstable zeros
L. Gerencser, M. Manfay
The purpose of this paper is to adapt the empirical characteristic function (ECF) method to stable, but possibly not inverse stable linear stochastic system driven by the increment…
Stability of hybrid Levy systems
L. Gerencser, M. Manfay
Continuous-time stochastic systems have attracted a lot of attention recently, due to their wide-spread use in finance for modelling price-dynamics. More recently models taking int…
Adaptive experiment design for LTI systems
Lirong Huang, Håkan Hjalmarsson, László Gerencsér
Optimal experiment design for parameter estimation is a research topic that has been in the interest of various studies. A key problem in optimal input design is that the optimal i…
Identification of Finite Dimensional Linear Systems Driven by Levy processes
Laszlo Gerencser, Mate Manfay
Levy processes are widely used in financial mathematics, telecommunication, economics, queueing theory and natural sciences for modelling. A typical model is obtained by considerin…