—The paper presents a methodology that combines statistical learning with constraint optimization by locally optimizing Radio Resource Management (RRM) or system parameters of po...
Moazzam Islam Tiwana, Zwi Altman, Berna Sayra&cced...
Hybrid systems are an appropriate formalism to model embedded systems as they capture the theme of continuous dynamics with discrete control. A simple extension, a network of comm...
Madhukar Anand, Sebastian Fischmeister, Jesung Kim...
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 this paper, we consider the standard state estimation problem over a congested packet-based network. The network is modeled as a queue with a single server processing the pa...
Michael Epstein, Abhishek Tiwari, Ling Shi, Richar...
We propose a simple model of human motion as a switching linear dynamical system where the switches correspond to contact forces with the ground. This significantly improves the m...