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NIPS
2003
13 years 10 months ago
Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models
We describe a Markov chain method for sampling from the distribution of the hidden state sequence in a non-linear dynamical system, given a sequence of observations. This method u...
Radford M. Neal, Matthew J. Beal, Sam T. Roweis
CDC
2008
IEEE
144views Control Systems» more  CDC 2008»
14 years 3 months ago
Control software model checking using bisimulation functions for nonlinear systems
— This paper extends a method for integrating source-code model checking with dynamic system analysis to verify properties of controllers for nonlinear dynamic systems. Source-co...
James Kapinski, Alexandre Donzé, Flavio Ler...
EAAI
2008
116views more  EAAI 2008»
13 years 8 months ago
Robust neuro-identification of nonlinear plants in electric power systems with missing sensor measurements
Fault tolerant measurements are an essential requirement for system identification, control and protection. Measurements can be corrupted or interrupted due to sensor failure, bro...
Wei Qiao, Zhi Gao, Ronald G. Harley, Ganesh K. Ven...
ATAL
2009
Springer
14 years 16 days ago
Effective bidding and deal identification for negotiations in highly nonlinear scenarios
Most real-world negotiation scenarios involve multiple, interdependent issues. These scenarios are specially challenging because the agents' utility functions are nonlinear, ...
Ivan Marsá-Maestre, Miguel A. López-...
ICCV
2009
IEEE
15 years 1 months ago
Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems
We use concepts from chaos theory in order to model nonlinear dynamical systems that exhibit deterministic behavior. Observed time series from such a system can be embedded into...
Arslan Basharat, Mubarak Shah