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SBRN
2000
IEEE
15 years 6 months ago
Non-Linear Modelling and Chaotic Neural Networks
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...
Antonia J. Jones, Steve Margetts, Peter Durrant, A...
131
Voted
BIOADIT
2004
Springer
15 years 7 months ago
Distributed Central Pattern Generator Model for Robotics Application Based on Phase Sensitivity Analysis
Abstract. A method is presented to predict phase relationships between coupled phase oscillators. As an illustration of how the method can be applied, a distributed Central Pattern...
Jonas Buchli, Auke Jan Ijspeert
AUTOMATICA
2008
89views more  AUTOMATICA 2008»
15 years 2 months ago
On robustness of constrained discrete-time systems to state measurement errors
In this note we show that robustness with respect to additive disturbances implies robustness with respect to state measurement errors and additive disturbances for a class of dis...
B. J. P. Roset, W. P. M. H. Heemels, Mircea Lazar,...
JMLR
2006
136views more  JMLR 2006»
15 years 1 months ago
Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis
In this paper we consider a novel Bayesian interpretation of Fisher's discriminant analysis. We relate Rayleigh's coefficient to a noise model that minimises a cost base...
Tonatiuh Peña Centeno, Neil D. Lawrence
132
Voted
ISER
1991
Springer
192views Robotics» more  ISER 1991»
15 years 5 months ago
System Identification and Modelling of A High Performance Hydraulic Actuator
Detailed knowledge of actuator properties is a prerequisite for advanced manipulator design and control. This paper deals with the experimental identification and modelling of the...
Benoit Boulet, Laeeque Daneshmend, Vincent Hayward...