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» An error bound for model reduction of Lur'e-type systems
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CDC
2009
IEEE
185views Control Systems» more  CDC 2009»
13 years 10 months ago
Discrete Empirical Interpolation for nonlinear model reduction
A dimension reduction method called Discrete Empirical Interpolation (DEIM) is proposed and shown to dramatically reduce the computational complexity of the popular Proper Orthogo...
Saifon Chaturantabut, Danny C. Sorensen
CDC
2008
IEEE
118views Control Systems» more  CDC 2008»
14 years 14 days ago
A density projection approach to dimension reduction for continuous-state POMDPs
Abstract— Research on numerical solution methods for partially observable Markov decision processes (POMDPs) has primarily focused on discrete-state models, and these algorithms ...
Enlu Zhou, Michael C. Fu, Steven I. Marcus
TPDS
1998
95views more  TPDS 1998»
13 years 5 months ago
Bound Performance Models of Heterogeneous Parallel Processing Systems
- Systems of heterogeneous parallel processing are studied such as arising in parallel programs executed on distributed systems. A lower and an upper bound model are suggested to o...
Simonetta Balsamo, Lorenzo Donatiello, Nico M. van...
AMC
2008
82views more  AMC 2008»
13 years 6 months ago
Parameter estimation error bounds for Hammerstein nonlinear finite impulsive response models
This paper presents a parameter estimation algorithm for a class of Hammerstein nonlinear systems
Li Yu, Jiabo Zhang, Yuwu Liao, Jie Ding
TSP
2010
13 years 21 days ago
Robust precoding with Bayesian error modeling for limited feedback MU-MISO systems
We consider the robust precoder design for Multi-User Multiple Input Single Output (MU-MISO) systems where the Channel State Information (CSI) is fed back from the single antenna ...
Michael Joham, Paula Maria Castro, Luis Castedo, W...