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CDC
2008
IEEE
118views Control Systems» more  CDC 2008»
13 years 9 months ago
On useful redundancy in experiment design for nonlinear system identification
In the paper, a formulation is proposed for optimal experiment design dedicated to the identification of nonlinear systems. In particular, a recently mentioned redundancy property ...
Mazen Alamir, James S. Welsh, Graham C. Goodwin
CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
13 years 10 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
ICRA
2009
IEEE
106views Robotics» more  ICRA 2009»
14 years 2 months ago
Inverse kinematics with closed form solutions for highly redundant robotic systems
— This paper presents inverse position kinematics algorithms with real time capability for Justin, a robotic system with high redundancy and many degrees of freedom. The combinat...
Rainer Konietschke, Gerd Hirzinger
ESSMAC
2003
Springer
14 years 21 days ago
Nonlinear Predictive Control with a Gaussian Process Model
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
Jus Kocijan, Roderick Murray-Smith
GW
2003
Springer
174views Biometrics» more  GW 2003»
14 years 21 days ago
Gesture Components for Natural Interaction with In-Car Devices
Abstract. The integration of more and more functionality into the human machine interface (HMI) of vehicles increases the complexity of device handling. Thus optimal use of differ...
Martin Zobl, Ralf Nieschulz, Michael Geiger, Manfr...