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AAAI
2006
13 years 10 months ago
Representing Systems with Hidden State
We discuss the problem of finding a good state representation in stochastic systems with observations. We develop a duality theory that generalizes existing work in predictive sta...
Christopher Hundt, Prakash Panangaden, Joelle Pine...
AUTOMATICA
2008
89views more  AUTOMATICA 2008»
13 years 8 months ago
On robustness of constrained discrete-time systems to state measurement errors
In this note we show that robustness with respect to additive disturbances implies robustness with respect to state measurement errors and additive disturbances for a class of dis...
B. J. P. Roset, W. P. M. H. Heemels, Mircea Lazar,...
ICCAD
1997
IEEE
127views Hardware» more  ICCAD 1997»
14 years 28 days ago
OPTIMIST: state minimization for optimal 2-level logic implementation
We present a novel method for state minimization of incompletely-specified finite state machines. Where classic methods simply minimize the number of states, ours directly addre...
Robert M. Fuhrer, Steven M. Nowick
KR
2004
Springer
14 years 2 months ago
Discovering State Invariants
We continue to advocate a methodology that we used earlier for pattern discovery through exhaustive search in selected small domains. This time we apply it to the problem of disco...
Fangzhen Lin
ATAL
2008
Springer
13 years 10 months ago
Approximate predictive state representations
Predictive state representations (PSRs) are models that represent the state of a dynamical system as a set of predictions about future events. The existing work with PSRs focuses ...
Britton Wolfe, Michael R. James, Satinder P. Singh