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» Nonlinear model predictive control of a cutting process
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NECO
2002
104views more  NECO 2002»
13 years 7 months ago
An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
A Bayesian ensemble learning method is introduced for unsupervised extraction of dynamic processes from noisy data. The data are assumed to be generated by an unknown nonlinear ma...
Harri Valpola, Juha Karhunen
CDC
2009
IEEE
136views Control Systems» more  CDC 2009»
13 years 8 months ago
Refined instrumental variable methods for identifying hammerstein models operating in closed loop
This article presents an instrumental variable method dedicated to non-linear Hammerstein systems operating in closed loop. The linear process is a Box
Vincent Laurain, Marion Gilson, Hugues Garnier
HAPTICS
2005
IEEE
14 years 1 months ago
A Fracture Mechanics Approach to Haptic Synthesis of Tissue Cutting with Scissors
An analytical model for cutting of a plate of material with a pair of scissors is presented in terms of concepts of contact and fracture mechanics. The forces of contact between t...
Mohsen Mahvash, Allison M. Okamura
MICCAI
2009
Springer
14 years 9 months ago
Real-Time Prediction of Brain Shift Using Nonlinear Finite Element Algorithms
Patient-specific biomechanical models implemented using specialized nonlinear (i.e. taking into account material and geometric nonlinearities) finite element procedures were applie...
Grand Roman Joldes, Adam Wittek, Mathieu Couton,...
ICASSP
2011
IEEE
12 years 11 months ago
Adaptive recursive FLANN filters for nonlinear active noise control
In this paper, a recursive nonlinear filter exploiting trigonometric expansions of the past output samples is introduced. Its peculiarity is, in general, the ability to model rea...
Giovanni L. Sicuranza, Alberto Carini