A new model reduction strategy for nonlinear distributed parameter systems

2011 IEEE International Conference on Computer Science and Automation Engineering ◽

10.1109/csae.2011.5953167 ◽

2011 ◽

Cited By ~ 1

Author(s):

Mian Jiang ◽

Hua Deng

Keyword(s):

Model Reduction ◽

Distributed Parameter Systems ◽

Distributed Parameter ◽

Reduction Strategy ◽

New Model

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Improved Empirical Eigenfunctions Based Model Reduction for Nonlinear Distributed Parameter Systems

Industrial & Engineering Chemistry Research ◽

10.1021/ie301179e ◽

2012 ◽

Vol 52 (2) ◽

pp. 934-940 ◽

Cited By ~ 10

Author(s):

Mian Jiang ◽

Hua Deng

Keyword(s):

Model Reduction ◽

Distributed Parameter Systems ◽

Distributed Parameter

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Geometric output tracking of nonlinear distributed parameter systems via adaptive model reduction

Chemical Engineering Science ◽

10.1016/j.ces.2014.05.030 ◽

2014 ◽

Vol 116 ◽

pp. 418-427 ◽

Cited By ~ 16

Author(s):

Davood Babaei Pourkargar ◽

Antonios Armaou

Keyword(s):

Model Reduction ◽

Distributed Parameter Systems ◽

Distributed Parameter ◽

Adaptive Model ◽

Output Tracking

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Model reduction for distributed parameter systems: A functional analytic view

2012 American Control Conference (ACC) ◽

10.1109/acc.2012.6314718 ◽

2012 ◽

Cited By ~ 2

Author(s):

M. R. Opmeer

Keyword(s):

Model Reduction ◽

Distributed Parameter Systems ◽

Distributed Parameter

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New spatial basis functions for the model reduction of nonlinear distributed parameter systems

Journal of Process Control ◽

10.1016/j.jprocont.2011.12.008 ◽

2012 ◽

Vol 22 (2) ◽

pp. 404-411 ◽

Cited By ~ 19

Author(s):

Hua Deng ◽

Mian Jiang ◽

Chang-Qing Huang

Keyword(s):

Model Reduction ◽

Distributed Parameter Systems ◽

Basis Functions ◽

Distributed Parameter

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Lyapunov based on-line model reduction and control of semilinear dissipative distributed parameter systems with minimum feedback information

Journal of Process Control ◽

10.1016/j.jprocont.2021.05.011 ◽

2021 ◽

Vol 104 ◽

pp. 135-145

Author(s):

Davood B. Pourkargar ◽

Antonios Armaou

Keyword(s):

Model Reduction ◽

Distributed Parameter Systems ◽

Distributed Parameter ◽

Line Model ◽

Feedback Information ◽

On Line ◽

And Control

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Time–space coupled learning method for model reduction of distributed parameter systems with encoder‐decoder and RNN

AIChE Journal ◽

10.1002/aic.16251 ◽

2020 ◽

Vol 66 (8) ◽

Cited By ~ 1

Author(s):

Xiangyun Qing ◽

Jing Jin ◽

Yugang Niu ◽

Shuangliang Zhao

Keyword(s):

Model Reduction ◽

Distributed Parameter Systems ◽

Distributed Parameter ◽

Learning Method ◽

Time Space

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4. Model Reduction for Control Design for Distributed Parameter Systems

Research Directions in Distributed Parameter Systems ◽

10.1137/1.9780898717525.ch4 ◽

2003 ◽

pp. 95-121 ◽

Cited By ~ 23

Author(s):

Ruth F. Curtain

Keyword(s):

Model Reduction ◽

Control Design ◽

Distributed Parameter Systems ◽

Distributed Parameter

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Nonlinear model predictive control for distributed parameter systems by time–space‐coupled model reduction

AIChE Journal ◽

10.1002/aic.17246 ◽

2021 ◽

Author(s):

Xiangyun Qing ◽

Jun Song ◽

Jing Jin ◽

Shuangliang Zhao

Keyword(s):

Model Predictive Control ◽

Model Reduction ◽

Predictive Control ◽

Nonlinear Model ◽

Coupled Model ◽

Distributed Parameter Systems ◽

Nonlinear Model Predictive Control ◽

Distributed Parameter ◽

Time Space

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Deep Learning-Based Model Reduction for Distributed Parameter Systems

IEEE Transactions on Systems Man and Cybernetics Systems ◽

10.1109/tsmc.2016.2605159 ◽

2016 ◽

Vol 46 (12) ◽

pp. 1664-1674 ◽

Cited By ~ 25

Author(s):

Mingliang Wang ◽

Han-Xiong Li ◽

Xin Chen ◽

Yun Chen

Keyword(s):

Deep Learning ◽

Model Reduction ◽

Distributed Parameter Systems ◽

Distributed Parameter

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Optimal Feedback Control of Nonlinear Distributed Parameter Systems Based on Model Reduction

Transactions of the Society of Instrument and Control Engineers ◽

10.9746/sicetr.51.181 ◽

2015 ◽

Vol 51 (3) ◽

pp. 181-188 ◽

Cited By ~ 1

Author(s):

Kenichi HAMAGUCHI ◽

Gou NISHIDA ◽

Noboru SAKAMOTO ◽

Yutaka YAMAMOTO

Keyword(s):

Feedback Control ◽

Model Reduction ◽

Distributed Parameter Systems ◽

Optimal Feedback Control ◽

Distributed Parameter ◽

Optimal Feedback

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