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» Optimal filtering for uncertain linear stochastic systems
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AUTOMATICA
2004
112views more  AUTOMATICA 2004»
13 years 8 months ago
Ellipsoidal parameter or state estimation under model uncertainty
Ellipsoidal outer-bounding of the set of all feasible state vectors under model uncertainty is a natural extension of state estimation for deterministic models with unknown-but-bo...
Boris T. Polyak, Sergey A. Nazin, Cécile Du...
CDC
2010
IEEE
139views Control Systems» more  CDC 2010»
13 years 3 months ago
Q-learning and enhanced policy iteration in discounted dynamic programming
We consider the classical finite-state discounted Markovian decision problem, and we introduce a new policy iteration-like algorithm for finding the optimal state costs or Q-facto...
Dimitri P. Bertsekas, Huizhen Yu
QEST
2007
IEEE
14 years 2 months ago
Automated Analysis of Simulation Traces - Separating Progress from Repetitive Behavior
Among the many stages of a simulation study, debugging a simulation model is the one that is hardly reported on but that may consume a considerable amount of time and effort. In t...
Peter Kemper, Carsten Tepper
CORR
2010
Springer
141views Education» more  CORR 2010»
13 years 8 months ago
Full vectoring optimal power allocation in xDSL channels under per-modem power constraints and spectral mask constraints
In xDSL systems, crosstalk can be separated into two categories, namely in-domain crosstalk and out-of-domain crosstalk. Indomain crosstalk is also refered to as self crosstalk. Ou...
Vincent Le Nir, Marc Moonen, Jan Verlinden, Mamoun...
PVM
1999
Springer
14 years 24 days ago
Parallel Monte Carlo Algorithms for Sparse SLAE Using MPI
The problem of solving sparse Systems of Linear Algebraic Equations (SLAE) by parallel Monte Carlo numerical methods is considered. The almost optimal Monte Carlo algorithms are pr...
Vassil N. Alexandrov, Aneta Karaivanova