The aim of this paper is to propose a new Kalman Filter Recurrent Neural Network (KFRNN) topology and a recursive Levenberg-Marquardt (L-M) algorithm of its learning capable to est...
Abstract— This paper presents a result on the robust synchronization of outputs of statically interconnected non-identical cyclic feedback systems that are used to model, among o...
Abdullah Omar Hamadeh, Guy-Bart Stan, Jorge M. Gon...
We address performance issues associated with simulationbased algorithms for optimizing Markov reward processes. Specifically, we are concerned with algorithms that exploit the re...
Abstract. We propose a framework for managing resources via convergent operators. Operators represent their need for a resource to a designated resource closure operator that manag...
We aim to advance the understanding of individual security decision-making, by combining formal and behavioral analysis. We sketch a game-theoretic model of security decision-maki...