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» Reachability in Linear Dynamical Systems
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ICML
2004
IEEE
15 years 12 months ago
Learning and discovery of predictive state representations in dynamical systems with reset
Predictive state representations (PSRs) are a recently proposed way of modeling controlled dynamical systems. PSR-based models use predictions of observable outcomes of tests that...
Michael R. James, Satinder P. Singh
CVPR
2007
IEEE
16 years 1 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
AUTOMATICA
2006
106views more  AUTOMATICA 2006»
14 years 11 months ago
Decentralized receding horizon control for large scale dynamically decoupled systems
A detailed study on the design of decentralized Receding Horizon Control (RHC) schemes for decoupled systems is presented. An optimal control problem is formulated for a set of de...
Tamás Keviczky, Francesco Borrelli, Gary J....
DAC
2005
ACM
16 years 51 min ago
A non-parametric approach for dynamic range estimation of nonlinear systems
It has been widely recognized that the dynamic range information of an application can be exploited to reduce the datapath bitwidth of either processors or ASICs, and therefore th...
Bin Wu, Jianwen Zhu, Farid N. Najm
ICCAD
2004
IEEE
151views Hardware» more  ICCAD 2004»
15 years 8 months ago
Dynamic range estimation for nonlinear systems
It has been widely recognized that the dynamic range information of an application can be exploited to reduce the datapath bitwidth of either processors or ASICs, and therefore th...
Bin Wu, Jianwen Zhu, Farid N. Najm