Abstract. Biological systems involving genetic reactions are large discrete event systems, and often contain certain species that occur in small quantities, and others that occur i...
In fuzzy modeling (FM), the quantity and quality of the training set is crucial to properly grasp the behavior of the system being modeled. However, the available data are often n...
Pablo Carmona, Juan Luis Castro, Jose Manuel Zurit...
Physics-based simulation codes are widely used in science and engineering to model complex systems that would be infeasible to study otherwise. Such codes provide the highest-fid...
As cloud computing environments become explosively popular, dealing with unpredictable changes, uncertainties, and disturbances in both systems and environments turns out to be on...
Abstract. We propose an approach to scenario-based analysis and synthesis of real-time embedded systems. The inter-process behaviors of a system are modeled as a set of driving uni...
Kim Guldstrand Larsen, Shuhao Li, Brian Nielsen, S...