KL-SVD Based One-Dimensional Modal Control Combining with Diameter Control Subsystem as State Estimator in Czochralski Process

Jing, Xueting; Li, Hongxin; Lei, Jing; Yang, Nan

doi:10.1109/ihmsc.2017.157

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…The Singular Value Decomposition and K-L expansion is applied to construct a low-dimensional LPS with a simple structure. However, the accuracy of the approximation is low for a nonlinear DPS [6,7]. The K-L expansion combined with the neural network method can be applied to construct a sufficiently accurate approximation for a nonlinear DPS [8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Least Squares Support Vector Machine-Based Multivariate Generalized Predictive Control for Parabolic Distributed Parameter Systems with Control Constraints

Deng

et al. 2021

Symmetry

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This manuscript addresses a new multivariate generalized predictive control strategy using the least squares support vector machine for parabolic distributed parameter systems. First, a set of proper orthogonal decomposition-based spatial basis functions constructed from a carefully selected set of data is used in a Galerkin projection for the building of an approximate low-dimensional lumped parameter systems. Then, the temporal autoregressive exogenous model obtained by the least squares support vector machine is applied in the design of a multivariate generalized predictive control strategy. Finally, the effectiveness of the proposed multivariate generalized predictive control strategy is verified through a numerical simulation study on a typical diffusion-reaction process in radical symmetry.

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Section: Introductionmentioning

confidence: 99%

Least Squares Support Vector Machine-Based Multivariate Generalized Predictive Control for Parabolic Distributed Parameter Systems with Control Constraints

Deng

et al. 2021

Symmetry

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Generalized Predictive Temperature Control in Tubular Chemical Reactors by means of Proper Orthogonal Decomposition and Least Squares Support Vector Machine

Stankovic

Teo

et al. 2020

2020 39th Chinese Control Conference (CCC)

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KL-SVD Based One-Dimensional Modal Control Combining with Diameter Control Subsystem as State Estimator in Czochralski Process

Cited by 2 publications

References 9 publications

Least Squares Support Vector Machine-Based Multivariate Generalized Predictive Control for Parabolic Distributed Parameter Systems with Control Constraints

Least Squares Support Vector Machine-Based Multivariate Generalized Predictive Control for Parabolic Distributed Parameter Systems with Control Constraints

Generalized Predictive Temperature Control in Tubular Chemical Reactors by means of Proper Orthogonal Decomposition and Least Squares Support Vector Machine

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