Efficient online model-based design of experiments via parameter subset selection for batch dynamical systems

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2018.12.005 ◽

2019 ◽

Vol 121 ◽

pp. 646-653 ◽

Author(s):

Jung Hun Kim ◽

Jong Min Lee

Keyword(s):

Dynamical Systems ◽

Design Of Experiments ◽

Subset Selection ◽

Model Based ◽

Selection For ◽

Parameter Subset Selection

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Mean squared error criterion for model-based design of experiments with subset selection

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2022.107667 ◽

2022 ◽

pp. 107667

Author(s):

Boeun Kim ◽

Kyung Hwan Ryu ◽

Seongmin Heo

Keyword(s):

Design Of Experiments ◽

Mean Squared Error ◽

Subset Selection ◽

Error Criterion ◽

Model Based ◽

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Ranking-Based Parameter Subset Selection for Nonlinear Dynamics with Stochastic Disturbances under Limited Data

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.0c04219 ◽

2020 ◽

Vol 59 (50) ◽

pp. 21854-21868

Author(s):

Jaehan Bae ◽

Dong Hwi Jeong ◽

Jong Min Lee

Keyword(s):

Nonlinear Dynamics ◽

Subset Selection ◽

Limited Data ◽

Stochastic Disturbances ◽

Selection For ◽

Parameter Subset Selection

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Modeling and Parameter Subset Selection for Fibrin Polymerization Kinetics with Applications to Wound Healing

Bulletin of Mathematical Biology ◽

10.1007/s11538-021-00876-6 ◽

2021 ◽

Vol 83 (5) ◽

Author(s):

Katherine J. Pearce ◽

Kimberly Nellenbach ◽

Ralph C. Smith ◽

Ashley C. Brown ◽

Mansoor A. Haider

Keyword(s):

Wound Healing ◽

Subset Selection ◽

Polymerization Kinetics ◽

Fibrin Polymerization ◽

Selection For ◽

Parameter Subset Selection

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Sensor selection for model-based real-time optimization: relating design of experiments and design cost

Journal of Process Control ◽

10.1016/s0959-1524(02)00122-1 ◽

2003 ◽

Vol 13 (7) ◽

pp. 667-678 ◽

Author(s):

L.M. Fraleigh ◽

M. Guay ◽

J.F. Forbes

Keyword(s):

Design Of Experiments ◽

Real Time ◽

Sensor Selection ◽

Model Based ◽

Time Optimization ◽

Selection For ◽

Design Cost ◽

Real Time Optimization

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Control configuration selection for multivariable switched dynamical systems and processes

2015 6th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO) ◽

10.1109/icmsao.2015.7152228 ◽

2015 ◽

Author(s):

Hamid Reza Shaker

Keyword(s):

Dynamical Systems ◽

Configuration Selection ◽

Selection For ◽

Control Configuration

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Greedy approximated hypervolume subset selection for many-objective optimization

Proceedings of the Genetic and Evolutionary Computation Conference ◽

10.1145/3449639.3459390 ◽

2021 ◽

Author(s):

Ke Shang ◽

Hisao Ishibuchi ◽

Weiyu Chen

Keyword(s):

Subset Selection ◽

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Weight factor selection for model-based predictive control of a four-level flying-capacitor inverter

IET Power Electronics ◽

10.1049/iet-pel.2011.0040 ◽

2012 ◽

Vol 5 (3) ◽

pp. 323-333 ◽

Author(s):

S. Thielemans ◽

J. Melkebeek ◽

T.J. Vyncke

Keyword(s):

Predictive Control ◽

Weight Factor ◽

Model Based ◽

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Transmit Antenna Subset Selection for Downlink MIMO Systems

2007 IEEE International Conference on Communications ◽

10.1109/icc.2007.1043 ◽

2007 ◽

Author(s):

J. W. Kang ◽

H. W. Je ◽

K. B. Lee

Keyword(s):

Mimo Systems ◽

Subset Selection ◽

Antenna Subset Selection ◽

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Unsupervised submodular subset selection for speech data

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2014.6854374 ◽

2014 ◽

Author(s):

Kai Wei ◽

Yuzong Liu ◽

Katrin Kirchhoff ◽

Jeff Bilmes

Keyword(s):

Subset Selection ◽

Speech Data ◽

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Subset Selection for Exponential Populations: Determination of the Selection Constant

Biometrical Journal ◽

10.1002/bimj.4710370502 ◽

1995 ◽

Vol 37 (5) ◽

pp. 515-521

Author(s):

Paul van der Laan

Keyword(s):

Subset Selection ◽

Selection For ◽

Exponential Populations

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