This paper adresses the variance quantification problem for system identification based on the prediction error framework. The role of input and model class selection for the auto-...
Abstract-- This paper deals with the mean square stabilization problem for multi-input networked systems via single packet or multiple packets transmission, where the unreliability...
Given an arbitrary intruder deduction capability, modeled as an inference system S and a protocol, we show how to compute an inference system bS such that the security problem for ...
We show that forms of Bayesian and MDL inference that are often applied to classification problems can be inconsistent. This means that there exists a learning problem such that fo...
Of special interest in formal verification are safety properties, which assert that the system always stays within some allowed region. Each safety property can be associated with...