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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 3 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»
14 years 11 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 1 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»
14 years 11 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 4 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