Wave propagation velocities in integrated PLS based control of a simulated moving bed process von Chen, Junghui, Hsieh, Kai-Ting, Teck Chan, Lester Lik

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Improving the energy cost of an absorber-stripper CO2 capture process through economic model predictive control von Chan, Lester Lik Teck, Chen, Junghui

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Economic model predictive control of distillation startup based on probabilistic approach von Chan, Lester Lik Teck, Chen, Junghui

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Kinetic parameter estimation and simulation of trickle-bed reactor for hydrodesulfurization of whole fraction low-temperature coal tar von Feng, Xian, Li, Dong, Chen, Junghui, Niu, Menglong, Liu, Xu, Chan, Lester Lik Teck, Li, Wenhong

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Probabilistic uncertainty based simultaneous process design and control with iterative expected improvement model von Chan, Lester Lik Teck, Chen, Junghui

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Gaussian process regression based optimal design of combustion systems using flame images von Chen, Junghui, Chan, Lester Lik Teck, Cheng, Yi-Cheng

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Hybrid model based expected improvement control for cyclical operation of membrane microfiltration processes von Chan, Lester Lik Teck, Chou, Chen-Pei, Chen, Junghui

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PID based nonlinear processes control model uncertainty improvement by using Gaussian process model von Chan, Lester Lik Teck, Chen, Tao, Chen, Junghui

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Just-In-Time Modeling With Variable Shrinkage Based on Gaussian Processes for Semiconductor Manufacturing von Chan, Lester Lik Teck, Wu, Xiaofei, Chen, Junghui, Xie, Lei, Chen, Chun-I.

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Economic model predictive control of an absorber-stripper CO2 capture process for improving energy cost von Teck Chan, Lester Lik, Chen, Junghui

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Gaussian process model based multi-source labeled data transfer learning for reducing cost of modeling target chemical processes with unlabeled data von Chan, Lester Lik Teck, Chen, Junghui

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Iterative learning parameter estimation and design of SMB processes von Chen, Junghui, Chen, Minghui, Chan, Lester Lik Teck

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Melt index prediction with a mixture of Gaussian process regression with embedded clustering and variable selections von Chan, Lester Lik Teck, Chen, Junghui

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Correntropy based data reconciliation and gross error detection for bilinear systems von Zhang, Zhengjiang, Chan, Lester Lik Teck, Chen, Junghui, Shao, Zhijiang

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Development of convolutional neural network based Gaussian process regression to construct a novel probabilistic virtual metrology in multi-stage semiconductor processes von Wu, Xiaofei, Chen, Junghui, Xie, Lei, Chan, Lester Lik Teck, Chen, Chun-I

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Nonlinear System Identification with Selective Recursive Gaussian Process Models von Chan, Lester Lik Teck, Liu, Yi, Chen, Junghui

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Dynamic soft sensors with active forward-update learning for selection of useful data from historical big database von Chan, Lester Lik Teck, Wu, Qing-Yang, Chen, Junghui

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PLS data-driven based approach to design of a simulated moving bed process von Chen, Junghui, Hsieh, Kai-Ting, Chan, Lester Lik Teck

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Gaussian Process Model Based Performance Assessment of Control Loop von Lik, Lester, Chan, Teck, Chen, Junghui

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Hybrid model based control for membrane filtration process von Chan, Lester Lik Teck, Chou, Chen-Pei, Chen, Junghui

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