This paper develops a model of an electrical power system, with its inherent embedded communication system, for the purpose of studying the characteristics of power system measure...
Modeling dynamical systems, both for control purposes and to make predictions about their behavior, is ubiquitous in science and engineering. Predictive state representations (PSR...
Satinder P. Singh, Michael R. James, Matthew R. Ru...
Autonomic systems are typically distributed, complex and concurrent systems, comprised of multiple interacting autonomic elements that often exhibit emergent behavior. Design and ...
Radovan Cervenka, Dominic A. P. Greenwood, Ivan Tr...
We are developing a module-oriented, multiphysics, mixed-fidelity system simulation environment that will enable engineers to rapidly analyze the performance of a system and to o...
David R. Gardner, Joseph P. Castro, Paul N. Demmie...
We introduce the controlled predictive linearGaussian model (cPLG), a model that uses predictive state to model discrete-time dynamical systems with real-valued observations and v...