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Least Squares Support Vector Machines(LSSVM) regression principle and sparsity configuration were introduced. In this paper online dynamic modeling based on Sparse LSSVM(SLSSVM) was proposed for wood drying process with strong coupling and nonlinear characteristics. The sample data of Fraxinus mandshurica in the speed-down drying stage were gathered in the experiments of a downscaled industrial wood...
Least Squares Support Vector Machines(LSSVM) regression principle and measure methods of moisture content during wood drying were introduced. Wood moisture content is a key parameter for regulating and controlling wood drying proces. In this paper soft sensor model based on LSSVM was established for the weakness of wood moisture content measurement in drying process, and parameters selection adopted...
In this paper, a robust PID control scheme is proposed for the particleboard glue batching and dosing system using a nonlinear control design. Based on a nonlinear least squared optimization function, a set of PID parameters can be obtained such that the robust stability for the closed-loop system is guaranteed. In opposition to trial and error, the PID parameters can be obtained systematically in...
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