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HICSS
2003
IEEE
129views Biometrics» more  HICSS 2003»
15 years 3 months ago
Experimental Studies and Modeling of an Information Embedded Power System
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...
Stephen P. Carullo, Chika Nwankpa
UAI
2004
14 years 11 months ago
Predictive State Representations: A New Theory for Modeling Dynamical Systems
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...
ICAS
2006
IEEE
128views Robotics» more  ICAS 2006»
15 years 3 months ago
The AML Approach to Modeling Autonomic Systems
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...
HICSS
2002
IEEE
128views Biometrics» more  HICSS 2002»
15 years 2 months ago
Developing a Flexible System-Modeling Environment for Engineers
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...
ICML
2006
IEEE
15 years 10 months ago
Predictive linear-Gaussian models of controlled stochastic dynamical systems
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...
Matthew R. Rudary, Satinder P. Singh