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» An adaptive level of detail approach to nonlinear estimation
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IROS
2009
IEEE
152views Robotics» more  IROS 2009»
14 years 2 months ago
Nonlinear dual mode adaptive control of PAR2: a 2-dof planar parallel manipulator, with real-time experiments
Abstract— This paper deals with nonlinear dual mode adaptive control of a redundant manipulator for a pick-andplace scenario with high acceleration (20G). For performance compari...
Guilherme Sartori Natal, Ahmed Chemori, Fran&ccedi...
BILDMED
2009
161views Algorithms» more  BILDMED 2009»
13 years 8 months ago
Estimation of Inner Lung Motion Fields by Non-linear Registration
Abstract. Detailed analysis of breathing dynamics, as motivated by radiotherapy of lung tumors, requires accurate estimates of inner lung motion fields. We present an evaluation an...
René Werner, Jan Ehrhardt, Alexander Schmid...
SIMPRA
2008
125views more  SIMPRA 2008»
13 years 7 months ago
Identification of Wiener models using optimal local linear models
The Wiener model is a versatile nonlinear block oriented model structure for miscellaneous applications. In this paper a method for identifying the parameters of such a model usin...
Martin Kozek, Sabina Sinanovic
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
13 years 2 months ago
Model-on-Demand predictive control for nonlinear hybrid systems with application to adaptive behavioral interventions
This paper presents a data-centric modeling and predictive control approach for nonlinear hybrid systems. System identification of hybrid systems represents a challenging problem b...
Naresh N. Nandola, Daniel E. Rivera
CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
13 years 11 months ago
An optimization approach to adaptive Kalman filtering
— In this paper, an optimization-based adaptive Kalman filtering method is proposed. The method produces an estimate of the process noise covariance matrix Q by solving an optim...
Maja Karasalo, Xiaoming Hu