Abstract-- This paper presents a comparison of three different design concepts for Genetic Fuzzy systems. We apply a Symbiotic Evolution that uses the Michigan approach and two app...
Carsten Franke, Joachim Lepping, Uwe Schwiegelshoh...
This paper presents a decomposition method for speedindependent circuit design that is capable of significantly reducing the cost of synthesis. In particular, this method synthesi...
Abstract— A design method is proposed for outputfeedback control of linear systems subject to state and control constraints, additive disturbances and measurement noise. First, n...
Abstract. Bisimulation reduction is a classical means to fight the infamous state space explosion problem, which limits the applicability of automated methods for verification li...
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...