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» Nonlinear hybrid system identification with kernel models
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GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
15 years 9 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
AUTOMATICA
2008
51views more  AUTOMATICA 2008»
15 years 6 months ago
New method for identifying finite degree Volterra series
In this paper, the identification of a class of nonlinear systems which admits input-output maps described by a finite degree Volterra series is considered. In actual fact, it app...
Wael Suleiman, André Monin
NIPS
2008
15 years 7 months ago
Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes
Identification and comparison of nonlinear dynamical system models using noisy and sparse experimental data is a vital task in many fields, however current methods are computation...
Ben Calderhead, Mark Girolami, Neil D. Lawrence
AEI
1999
110views more  AEI 1999»
15 years 5 months ago
Self-tuning fuzzy controller design using genetic optimisation and neural network modelling
This article describes a new adaptive fuzzy logic control scheme. The proposed scheme is based on the structure of the self-tuning regulator and employs neural network and genetic...
Duc Truong Pham, Dervis Karaboga
HYBRID
2003
Springer
15 years 11 months ago
Qualitative Heterogeneous Control of Higher Order Systems
This paper presents the qualitative heterogeneous control framework, a methodology for the design of a controlled hybrid system based on attractors and transitions between them. Th...
Subramanian Ramamoorthy, Benjamin Kuipers