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» Nonlinear model predictive control of a cutting process
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BMCBI
2010
167views more  BMCBI 2010»
14 years 12 months ago
Inference of sparse combinatorial-control networks from gene-expression data: a message passing approach
Background: Transcriptional gene regulation is one of the most important mechanisms in controlling many essential cellular processes, including cell development, cell-cycle contro...
Marc Bailly-Bechet, Alfredo Braunstein, Andrea Pag...
ICIP
2007
IEEE
16 years 1 months ago
Multisegment Detection
In this paper we propose a new method for detecting straight line segments in digital images. It improves upon existing methods by giving precise results while controlling the num...
Gregory Randall, Jérémie Jakubowicz,...
ICCS
2003
Springer
15 years 5 months ago
Self-Organizing Hybrid Neurofuzzy Networks
Abstract. We introduce a concept of self-organizing Hybrid Neurofuzzy Networks (HNFN), a hybrid modeling architecture combining neurofuzzy (NF) and polynomial neural networks(PNN)....
Sung-Kwun Oh, Su-Chong Joo, Chang-Won Jeong, Hyun-...
AUTONOMICS
2009
ACM
15 years 6 months ago
Sensor Selection for IT Infrastructure Monitoring
Supervisory control is the main means to assure a high level performance and availability of large IT infrastructures. Applied control theory is used in physical and virtualization...
Gergely János Paljak, Imre Kocsis, Zolt&aac...
AUTOMATICA
2006
132views more  AUTOMATICA 2006»
14 years 11 months ago
A new autocovariance least-squares method for estimating noise covariances
Industrial implementation of model-based control methods, such as model predictive control, is often complicated by the lack of knowledge about the disturbances entering the syste...
Brian J. Odelson, Murali R. Rajamani, James B. Raw...