Analysis of large, complex systems requires simulations of hybrid-system dynamics, i.e., dynamics which are best described by a combination of continuous-time and discrete-event m...
Amy R. Pritchett, Seungman Lee, David Huang, David...
The inherent complexity of biomedical systems is well recognized; they are multi-scale, multi-science systems, bridging a wide range of temporal and spatial scales. This article r...
In addition to being accurate, it is important that diagnostic systems for use in automobiles also have low development and hardware costs. Model-based methods have shown promise ...
Matthew L. Schwall, J. Christian Gerdes, Bernard B...
We present a new model for generating network applications. Our model is based on trees communicating with each other. Our model is simple to understand, but yet powerful enough to...
Abstract. Approximate dynamic programming offers a new modeling and algorithmic strategy for complex problems such as rail operations. Problems in rail operations are often modeled...