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» An adaptive high-gain observer for nonlinear systems
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ESANN
1998
13 years 8 months ago
Lazy learning for control design
This paper presents two local methods for the control of discrete-time unknown nonlinear dynamical systems, when only a limited amount of input-output data is available. The modeli...
Gianluca Bontempi, Mauro Birattari, Hugues Bersini
ICUMT
2009
13 years 5 months ago
A new approach to the design of wireless data broadcasting systems: An analysis-based cost-effective scheme
Abstract--A new approach to the design of wireless data broadcasting systems is introduced. The proposed approach is based on the mathematical analysis of the aforementioned system...
Christos Liaskos, Sophia G. Petridou, Georgios I. ...
IJISTA
2007
119views more  IJISTA 2007»
13 years 7 months ago
Online modelling based on Genetic Programming
: Genetic Programming (GP), a heuristic optimisation technique based on the theory of Genetic Algorithms (GAs), is a method successfully used to identify non-linear model structure...
Stephan M. Winkler, Hajrudin Efendic, Luigi del Re...
IJON
1998
158views more  IJON 1998»
13 years 7 months ago
Bayesian Kullback Ying-Yang dependence reduction theory
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Lei Xu
NIPS
2007
13 years 8 months ago
Continuous Time Particle Filtering for fMRI
We construct a biologically motivated stochastic differential model of the neural and hemodynamic activity underlying the observed Blood Oxygen Level Dependent (BOLD) signal in Fu...
Lawrence Murray, Amos J. Storkey