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» Nonlinear predictive control based on neural multi-models
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CDC
2009
IEEE
180views Control Systems» more  CDC 2009»
15 years 1 months ago
Robustness analysis for Least Squares kernel based regression: an optimization approach
—In kernel based regression techniques (such as Support Vector Machines or Least Squares Support Vector Machines) it is hard to analyze the influence of perturbed inputs on the ...
Tillmann Falck, Johan A. K. Suykens, Bart De Moor
CCE
2005
14 years 9 months ago
Compartmental modeling of high purity air separation columns
High purity distillation columns are critical unit operations in cryogenic air separation plants. The development of nonlinear control technology is motivated by the need to frequ...
Shoujun Bian, Suabtragool Khowinij, Michael A. Hen...
BMCBI
2006
122views more  BMCBI 2006»
14 years 10 months ago
A multivariate prediction model for microarray cross-hybridization
Background: Expression microarray analysis is one of the most popular molecular diagnostic techniques in the post-genomic era. However, this technique faces the fundamental proble...
Yian A. Chen, Cheng-Chung Chou, Xinghua Lu, Elizab...
ICRA
2007
IEEE
159views Robotics» more  ICRA 2007»
15 years 4 months ago
Online trajectory generation in an amphibious snake robot using a lamprey-like central pattern generator model
— This article presents a control architecture for controlling the locomotion of an amphibious snake/lamprey robot capable of swimming and serpentine locomotion. The control arch...
Auke Jan Ijspeert, Alessandro Crespi
ICAS
2006
IEEE
139views Robotics» more  ICAS 2006»
15 years 4 months ago
Predicting Resource Demand in Dynamic Utility Computing Environments
— We target the problem of predicting resource usage in situations where the modeling data is scarce, non-stationary, or expensive to obtain. This scenario occurs frequently in c...
Artur Andrzejak, Sven Graupner, Stefan Plantikow