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IROS
2009
IEEE
230views Robotics» more  IROS 2009»
15 years 11 months ago
Stability and robustness analysis tools for marine robot localization and SLAM applications
— Our aim is to explore the fundamental stability issues of a robotic vehicle carrying out localization, mapping, and feedback control in a perturbation-filled environment. Moti...
Brendan Englot, Franz Hover
CIARP
2006
Springer
15 years 6 months ago
Robustness Analysis of the Neural Gas Learning Algorithm
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
Carolina Saavedra, Sebastián Moreno, Rodrig...
UAI
1997
15 years 6 months ago
Robustness Analysis of Bayesian Networks with Local Convex Sets of Distributions
Robust Bayesian inference is the calculation of posterior probability bounds given perturbations in a probabilistic model. This paper focuses on perturbations that can be expresse...
Fabio Gagliardi Cozman
BIOINFORMATICS
2004
119views more  BIOINFORMATICS 2004»
15 years 4 months ago
Analysis of variance components in gene expression data
Motivation: A microarray experiment is a multi-step process, and each step is a potential source of variation. There are two major sources of variation: biological variation and t...
James J. Chen, Robert R. Delongchamp, Chen-An Tsai...
CDC
2009
IEEE
108views Control Systems» more  CDC 2009»
15 years 9 months ago
Robust stability and performance analysis for multiple model adaptive controllers
— For an Estimation Based Multiple Model Switched Adaptive Control (EMMSAC) algorithm controlling a MIMO minimal LTI plant, lp, 1 ≤ p ≤ ∞ bounds on the gain from the input ...
Dominic Pasqual Buchstaller, Mark French