Markov jump processes and continuous time Bayesian networks are important classes of continuous time dynamical systems. In this paper, we tackle the problem of inferring unobserve...
Abstract. We consider various extensions and modifications of Shannon's General Purpose Analog Computer, which is a model of computation by differential equations in continuou...
In this paper we show that incrementally stable nonlinear time–delay systems admit symbolic models which are approximately equivalent, in the sense of approximate bisimulation, ...
Giordano Pola, Pierdomenico Pepe, Maria Domenica D...
This paper takes a computational learning theory approach to a problem of linear systems identification. It is assumed that inputs are generated randomly from a known class consist...