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» Learning nonlinear dynamic models
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104
Voted
ICRA
2008
IEEE
150views Robotics» more  ICRA 2008»
15 years 7 months ago
Rigorously Bayesian range finder sensor model for dynamic environments
— This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. The modeling rigorously explains all model assumpt...
Tinne De Laet, Joris De Schutter, Herman Bruyninck...
CDC
2008
IEEE
152views Control Systems» more  CDC 2008»
15 years 7 months ago
Non-uniform small-gain theorems for systems with unstable invariant sets
— We consider the problem of small-gain analysis of asymptotic behavior in interconnected nonlinear dynamic systems. Mathematical models of these systems are allowed to be uncert...
Ivan Tyukin, Erik Steur, Henk Nijmeijer, Cees van ...
105
Voted
ACIIDS
2010
IEEE
171views Database» more  ACIIDS 2010»
15 years 3 months ago
Evolving Concurrent Petri Net Models of Epistasis
Abstract. A genetic algorithm is used to learn a non-deterministic Petri netbased model of non-linear gene interactions, or statistical epistasis. Petri nets are computational mode...
Michael Mayo, Lorenzo Beretta
84
Voted
ICRA
2007
IEEE
125views Robotics» more  ICRA 2007»
15 years 7 months ago
Robot Communication Principal by Motion Synchronization using Orbit Attractor
Abstract— The human communication exists in various situations of our daily life. For human – robot communication or robot – robot communication, it is useful to design a com...
Masafumi Okada, Kenji Murakami
96
Voted
AHS
2006
IEEE
125views Hardware» more  AHS 2006»
15 years 6 months ago
Evolving Hardware with Self-reconfigurable connectivity in Xilinx FPGAs
Randomly connecting networks have proven to be universal computing machines. By interconnecting a set of nodes in a random way one can model very complicated non-linear dynamic sy...
Andres Upegui, Eduardo Sanchez