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» Recursive Estimation with Implicit Constraints
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JCB
2007
198views more  JCB 2007»
13 years 7 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III
CDC
2009
IEEE
124views Control Systems» more  CDC 2009»
13 years 8 months ago
Inverse modeling for open boundary conditions in channel network
Abstract-- An inverse modeling problem for systems governed by first-order, hyperbolic partial differential equations subject to periodic forcing is investigated. The problem is de...
Qingfang Wu, Mohammad Rafiee, Andrew Tinka, Alexan...
ICASSP
2008
IEEE
14 years 1 months ago
Distributed Kalman filtering based on quantized innovations
We consider state estimation of a Markov stochastic process using an ad hoc wireless sensor network (WSN) based on noisy linear observations. Due to power and bandwidth constraint...
Eric J. Msechu, Alejandro Ribeiro, Stergios I. Rou...
IJSYSC
2008
82views more  IJSYSC 2008»
13 years 7 months ago
Supply-chain modelling and control under proportional inventory-replenishment policies
A novel state-space model of a multi-node supply chain is presented, controlled via local proportional inventory-replenishment policies. The model is driven by a stochastic sequen...
C. I. Papanagnou, G. D. Halikias
CDC
2009
IEEE
144views Control Systems» more  CDC 2009»
13 years 8 months ago
A minimized zero mean entropy approach to networked control systems
A novel control method is proposed for networked control systems with nonlinear process, probably non-Gaussian process noise and time delays. The performance index of closed loop c...
Jianhua Zhang, Hong Wang 0001