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CDC
2010
IEEE
139views Control Systems» more  CDC 2010»
15 years 1 months ago
An adaptive-covariance-rank algorithm for the unscented Kalman filter
Abstract-- The Unscented Kalman Filter (UKF) is a nonlinear estimator that is particularly well suited for complex nonlinear systems. In the UKF, the error covariance is estimated ...
Lauren E. Padilla, Clarence W. Rowley
UML
2001
Springer
15 years 11 months ago
Using Alloy and UML/OCL to Specify Run-Time Configuration Management: A Case Study
: There are many different ways to specify the requirements of complex software systems, and the optimal methods often vary according to the problem domain. We apply and compare tw...
Geri Georg, Jores Bieman, Robert B. France
HPCC
2007
Springer
15 years 10 months ago
An Exploration of Performance Attributes for Symbolic Modeling of Emerging Processing Devices
Vector, emerging (homogenous and heterogeneous) multi-core and a number of accelerator processing devices potentially offer an order of magnitude speedup for scientific application...
Sadaf R. Alam, Nikhil Bhatia, Jeffrey S. Vetter
BMCBI
2007
161views more  BMCBI 2007»
15 years 7 months ago
Efficient classification of complete parameter regions based on semidefinite programming
Background: Current approaches to parameter estimation are often inappropriate or inconvenient for the modelling of complex biological systems. For systems described by nonlinear ...
Lars Kuepfer, Uwe Sauer, Pablo A. Parrilo
IWSSD
1993
IEEE
15 years 11 months ago
Fine-Grain Process Modelling
In this paper, we propose the use of fine-grain process modelling as an aid to software development. We suggest the use of two levels of granularity, one at the level of the indiv...
Bashar Nuseibeh, Anthony Finkelstein, Jeff Kramer