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CDC
2008
IEEE
146views Control Systems» more  CDC 2008»
16 years 1 months ago
Control formula for nonlinear systems subject to convex input constraints using control Lyapunov functions
— In this paper, we propose a two-step controller design method with control Lyapunov functions (CLFs) for nonlinear systems with convex input constraints. In the first step, we...
Yasuyuki Satoh, Hisakazu Nakamura, Nami Nakamura, ...
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
16 years 24 days ago
Comparison of tree and graph encodings as function of problem complexity
In this paper, we analyze two general-purpose encoding types, trees and graphs systematically, focusing on trends over increasingly complex problems. Tree and graph encodings are ...
Michael D. Schmidt, Hod Lipson
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
16 years 5 days ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
ISNN
2005
Springer
16 years 4 days ago
FPGA Realization of a Radial Basis Function Based Nonlinear Channel Equalizer
In this paper we propose a radial basis function (RBF) neural network for nonlinear time-invariant channel equalizer. The RBF network model has a three-layer structure which is com...
Poyueh Chen, Hungming Tsai, ChengJian Lin, ChiYung...
VLDB
2005
ACM
124views Database» more  VLDB 2005»
16 years 3 days ago
Indexing Multi-Dimensional Uncertain Data with Arbitrary Probability Density Functions
In an “uncertain database”, an object o is associated with a multi-dimensional probability density function (pdf), which describes the likelihood that o appears at each positi...
Yufei Tao, Reynold Cheng, Xiaokui Xiao, Wang Kay N...