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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
DAC
2005
ACM
13 years 9 months ago
A green function-based parasitic extraction method for inhomogeneous substrate layers
This paper presents a new Green function-based approach for substrate parasitic extraction in substrates with inhomogeneous layers. This new formulation allows analysis of noise c...
Chenggang Xu, Ranjit Gharpurey, Terri S. Fiez, Kar...
DCOSS
2010
Springer
13 years 7 months ago
Design and Implementation of a Robust Sensor Data Fusion System for Unknown Signals
In this work, we present a robust sensor fusion system for exploratory data collection, exploiting the spatial redundancy in sensor networks. Unlike prior work, our system design c...
Younghun Kim, Thomas Schmid, Mani B. Srivastava
AUTOMATICA
2010
96views more  AUTOMATICA 2010»
13 years 7 months ago
Issues in sampling and estimating continuous-time models with stochastic disturbances
: The standard continuous time state space model with stochastic disturbances the mathematical abstraction of continuous time white noise. To work with well defined, discrete time ...
Lennart Ljung, Adrian Wills
AUTOMATICA
2008
107views more  AUTOMATICA 2008»
13 years 7 months ago
Kalman filters in non-uniformly sampled multirate systems: For FDI and beyond
This paper consists of two parts. The first part is the development of a datadriven Kalman filter for a non-uniformly sampled multirate (NUSM) system, including identification of ...
Weihua Li, Sirish L. Shah, Deyun Xiao