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- W2059609967 abstract "To simulate the human control behavior, and to solve the dimension disaster problem of the simulation model which can simulate complicated controlling behavior, the ball and beam system is researched. The kernel principal component analysis and false nearest neighbor method is adopted, and the simplified ball and beam system controller is designed. The embedding dimension of input time series is determined by the false nearest neighbor method, and then the characteristic value is extracted by the kernel principal component analysis method, so the nonlinear auxiliary variable space feature can be extracted, phase space is reconstructed and the variable is selected. Last from simplified input space to the output space regression mathematical model is fit by using the method of least squares linear regression. Test shows that the control algorithm is effective, with high control precision and stability." @default.
- W2059609967 created "2016-06-24" @default.
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- W2059609967 date "2012-11-01" @default.
- W2059609967 modified "2023-09-28" @default.
- W2059609967 title "Research on Modeling Method Based Kernel Principal Component Analysis for Ball and Beam System" @default.
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- W2059609967 doi "https://doi.org/10.4028/www.scientific.net/amm.233.292" @default.
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