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» Nonlinear Systems: Approximating Reach Sets
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CDC
2010
IEEE
139views Control Systems» more  CDC 2010»
14 years 5 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
GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
15 years 2 months ago
Nonlinear parametric regression in genetic programming
Genetic programming has been considered a promising approach for function approximation since it is possible to optimize both the functional form and the coefficients. However, it...
Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon
142
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TSP
2008
91views more  TSP 2008»
14 years 10 months ago
Nonlinear and Nonideal Sampling: Theory and Methods
We study a sampling setup where a continuous-time signal is mapped by a memoryless, invertible and nonlinear transformation, and then sampled in a nonideal manner. Such scenarios a...
Tsvi G. Dvorkind, Yonina C. Eldar, Ewa Matusiak
RTA
2007
Springer
15 years 4 months ago
Rewriting Approximations for Fast Prototyping of Static Analyzers
This paper shows how to construct static analyzers using tree automata and rewriting techniques. Starting from a term rewriting system representing the operational semantics of the...
Yohan Boichut, Thomas Genet, Thomas P. Jensen, Luk...
EUSFLAT
2003
120views Fuzzy Logic» more  EUSFLAT 2003»
14 years 11 months ago
A Type 2 fuzzy system modelling algorithm
In this paper, a modified fuzzy system modelling algorithm that incorporates Type 2 fuzzy sets, which is based on intervalvalued membership degrees rather than singleton membershi...
Kemal Kilic, Özge Uncu, I. Burhan Türkse...