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NIPS
2003
13 years 9 months ago
A Nonlinear Predictive State Representation
Predictive state representations (PSRs) use predictions of a set of tests to represent the state of controlled dynamical systems. One reason why this representation is exciting as...
Matthew R. Rudary, Satinder P. Singh
ICAISC
2004
Springer
14 years 28 days ago
Semi-mechanistic Models for State-Estimation - Soft Sensor for Polymer Melt Index Prediction
Nonlinear state estimation is a useful approach to the monitoring of industrial (polymerization) processes. This paper investigates how this approach can be followed to the develop...
Balazs Feil, János Abonyi, Peter Pach, Sand...
AUTOMATICA
2005
121views more  AUTOMATICA 2005»
13 years 7 months ago
Robust state observer and control design using command-to-state mapping
In this paper, by introducing the concept of command-to-state/output mapping, it is shown that the state of an uncertain nonlinear system can robustly be estimated if command-to-s...
Zhihua Qu
AUTOMATICA
2004
112views more  AUTOMATICA 2004»
13 years 7 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...
ICASSP
2011
IEEE
12 years 11 months ago
Particle algorithms for filtering in high dimensional state spaces: A case study in group object tracking
We briefly present the current state-of-the-art approaches for group and extended object tracking with an emphasis on particle methods which have high potential to handle complex...
Lyudmila Mihaylova, Avishy Carmi