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» Identification of mixed linear nonlinear state-space models
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GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
15 years 1 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
UAI
2001
14 years 11 months ago
Instrumentality Tests Revisited
An instrument is a random variable that is uncorrelated with certain (unobserved) error terms and, thus, allows the identification of structural parameters in linear models. In no...
Blai Bonet
SIAMJO
2010
121views more  SIAMJO 2010»
14 years 8 months ago
Optimization Strategies for the Vulnerability Analysis of the Electric Power Grid
Identifying small groups of lines, whose removal would cause a severe blackout, is critical for the secure operation of the electric power grid. We show how power grid vulnerabilit...
Ali Pinar, Juan Meza, Vaibhav Donde, Bernard C. Le...
AUTOMATICA
2005
152views more  AUTOMATICA 2005»
14 years 9 months ago
Identification of dynamical systems with a robust interval fuzzy model
In this paper we present a new method of interval fuzzy model identification. The method combines a fuzzy identification methodology with some ideas from linear programming theory...
Igor Skrjanc, Saso Blazic, Osvaldo E. Agamennoni
88
Voted
ICRA
2008
IEEE
157views Robotics» more  ICRA 2008»
15 years 4 months ago
Analysis and improvement of the consistency of extended Kalman filter based SLAM
Abstract— In this work, we study the inconsistency of EKFbased SLAM from the perspective of observability. We analytically prove that when the Jacobians of the state and measurem...
Guoquan Huang, Anastasios I. Mourikis, Stergios I....