Extended Moving Horizon Estimation for Chemical Processes under Non‐Gaussian Noises

AIChE Journal ◽

10.1002/aic.17545 ◽

2021 ◽

Author(s):

Mahshad Valipour ◽

Luis A. Ricardez‐Sandoval

Keyword(s):

Chemical Processes ◽

Moving Horizon Estimation ◽

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Performance monitoring of non-gaussian chemical processes with modes-switching using globality-locality preserving projection

Frontiers of Chemical Science and Engineering ◽

10.1007/s11705-017-1675-6 ◽

2017 ◽

Vol 11 (3) ◽

pp. 429-439 ◽

Author(s):

Xin Peng ◽

Yang Tang ◽

Wenli Du ◽

Feng Qian

Keyword(s):

Performance Monitoring ◽

Chemical Processes ◽

Locality Preserving Projection ◽

Locality Preserving ◽

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Monte Carlo Assessment of the Arrival Cost Evaluation Method in Moving Horizon Estimation for Chemical Processes

Computer Aided Chemical Engineering - 21st European Symposium on Computer Aided Process Engineering ◽

10.1016/b978-0-444-53711-9.50138-3 ◽

2011 ◽

pp. 688-692

Author(s):

F.D. Rincón Cuellar ◽

W.H. Hirota ◽

R. Giudici ◽

G.A.C. Le Roux

Keyword(s):

Monte Carlo ◽

Evaluation Method ◽

Chemical Processes ◽

Cost Evaluation ◽

Moving Horizon Estimation

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Soft Sensor Development Based on the Hierarchical Ensemble of Gaussian Process Regression Models for Nonlinear and Non-Gaussian Chemical Processes

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.6b00240 ◽

2016 ◽

Vol 55 (28) ◽

pp. 7704-7719 ◽

Author(s):

Li Wang ◽

Huaiping Jin ◽

Xiangguang Chen ◽

Jiayu Dai ◽

Kai Yang ◽

...

Keyword(s):

Gaussian Process ◽

Regression Models ◽

Gaussian Process Regression ◽

Soft Sensor ◽

Chemical Processes ◽

Sensor Development ◽

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Online quality prediction of nonlinear and non-Gaussian chemical processes with shifting dynamics using finite mixture model based Gaussian process regression approach

Chemical Engineering Science ◽

10.1016/j.ces.2012.07.018 ◽

2012 ◽

Vol 82 ◽

pp. 22-30 ◽

Author(s):

Jie Yu

Keyword(s):

Gaussian Process ◽

Mixture Model ◽

Gaussian Process Regression ◽

Finite Mixture Model ◽

Chemical Processes ◽

Finite Mixture ◽

Quality Prediction ◽

Model Based ◽

Regression Approach ◽

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Regression-based analysis of multivariate non-Gaussian datasets for diagnosing abnormal situations in chemical processes

AIChE Journal ◽

10.1002/aic.14230 ◽

2013 ◽

Vol 60 (1) ◽

pp. 148-159 ◽

Author(s):

Jiusun Zeng ◽

Lei Xie ◽

Uwe Kruger ◽

Chuanhou Gao

Keyword(s):

Chemical Processes ◽

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A modified moving horizon estimation scheme for multi-timescale chemical processes

2017 Australian and New Zealand Control Conference (ANZCC) ◽

10.1109/anzcc.2017.8298506 ◽

2017 ◽

Author(s):

Ruigang Wang ◽

Chee Keong Tan ◽

Jie Bao ◽

Mohd Azlan Hussain

Keyword(s):

Chemical Processes ◽

Moving Horizon Estimation ◽

Estimation Scheme

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Recursive Elimination Method in Moving Horizon Estimation for a Class of Nonlinear Systems and Non-Gaussian Noise

SICE Journal of Control Measurement and System Integration ◽

10.9746/jcmsi.13.282 ◽

2020 ◽

Vol 13 (6) ◽

pp. 282-290

Author(s):

Tomoyuki IORI ◽

Toshiyuki OHTSUKA

Keyword(s):

Nonlinear Systems ◽

Gaussian Noise ◽

Moving Horizon Estimation ◽

Elimination Method ◽

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Confidence interval estimation under the presence of non-Gaussian random errors: Applications to uncertainty analysis of chemical processes and simulation

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2009.11.004 ◽

2010 ◽

Vol 34 (3) ◽

pp. 298-305 ◽

Author(s):

V.R. Vásquez ◽

W.B. Whiting ◽

M.M. Meerschaert

Keyword(s):

Confidence Interval ◽

Uncertainty Analysis ◽

Interval Estimation ◽

Chemical Processes ◽

Random Errors ◽

Confidence Interval Estimation ◽

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Coupled Thermo-Hydro-Mechanical-Chemical Processes in Geo-Systems - Fundamentals, Modelling, Experiments and Applications

10.1016/s1571-9960(04)x8014-9 ◽

2004 ◽

Keyword(s):

Chemical Processes

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The chemical processes of memory

PsycEXTRA Dataset ◽

10.1037/e482512008-006 ◽

1963 ◽

Author(s):

E. Roy John

Keyword(s):

Chemical Processes

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