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CORR
2008
Springer
158views Education» more  CORR 2008»
14 years 10 months ago
Distributed and Recursive Parameter Estimation in Parametrized Linear State-Space Models
We consider a network of sensors deployed to sense a spatio-temporal field and infer parameters of interest about the field. We are interested in the case where each sensor's...
S. Sundhar Ram, Venugopal V. Veeravalli, Angelia N...
AIPS
1998
14 years 11 months ago
Solving Stochastic Planning Problems with Large State and Action Spaces
Planning methods for deterministic planning problems traditionally exploit factored representations to encode the dynamics of problems in terms of a set of parameters, e.g., the l...
Thomas Dean, Robert Givan, Kee-Eung Kim
AAAI
2006
14 years 11 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...
ISCAS
1999
IEEE
100views Hardware» more  ISCAS 1999»
15 years 2 months ago
The state space framework for blind dynamic signal extraction and recovery
The paper describes a framework in the form of an optimization of a performance index subject to the constraints of a dynamic network, represented in the state space. The performa...
Fathi M. A. Salam, Gail Erten
CAV
2005
Springer
86views Hardware» more  CAV 2005»
15 years 3 months ago
Syntax-Driven Reachable State Space Construction of Synchronous Reactive Programs
We consider in the current paper the issue of exploiting the structural form of Esterel programs [BG92] to partition the algorithmic RSS (reachable state space) fix-point construc...
Eric Vecchié, Robert de Simone