This paper considers the average consensus problem on a network of digital links, and proposes algorithms based on pairwise "gossip" communications and updates. Through ...
Ruggero Carli, Fabio Fagnani, Paolo Frasca, Sandro...
The main contribution of this paper is to provide a solution to the noise sensitivity of high-gain observers. We propose a nonlinear observer that possesses simultaneously the pro...
Many models have been defined in order to describe the evolution of a disease in a population. The modelling of diseases is helpful to understand the mechanisms for their spread a...
Traditional quantum state tomography requires a number of measurements that grows exponentially with the number of qubits n. But using ideas from computational learning theory, we...
We describe techniques for diagnosing errors in formal equivalence checking of RTL and transistor level models of high performance microprocessors at Freescale Semiconductor Inc. ...