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Mingjie Li
ORCID
Publication Activity (10 Years)
Years Active: 2017-2021
Publications (10 Years): 7
Top Topics
Continuous Stirred Tank Reactor
Multiobjective Optimization
Wavelet Neural Network
Data Modeling
Top Venues
Neurocomputing
IEEE Trans. Cybern.
IEEE Trans. Ind. Electron.
IEEE Trans. Ind. Informatics
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Publications
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Mingjie Li
,
Ping Zhou
,
Liangyong Wang
,
Ye Yuan
Data-Driven Multiobjective Predictive Optimal Control of Refining Process With Non-Gaussian Stochastic Distribution Dynamics.
IEEE Trans. Ind. Informatics
17 (11) (2021)
Mingjie Li
,
Ping Zhou
,
Hong Wang
,
Tianyou Chai
Nonlinear Multiobjective MPC-Based Optimal Operation of a High Consistency Refining System in Papermaking.
IEEE Trans. Syst. Man Cybern. Syst.
50 (3) (2020)
Ping Zhou
,
Wenpeng Li
,
Hong Wang
,
Mingjie Li
,
Tianyou Chai
Robust Online Sequential RVFLNs for Data Modeling of Dynamic Time-Varying Systems With Application of an Ironmaking Blast Furnace.
IEEE Trans. Cybern.
50 (11) (2020)
Mingjie Li
,
Ping Zhou
,
Yunlong Liu
,
Hong Wang
Data-Driven Predictive Probability Density Function Control of Fiber Length Stochastic Distribution Shaping in Refining Process.
IEEE Trans Autom. Sci. Eng.
17 (2) (2020)
Mingjie Li
,
Ping Zhou
,
Hong Wang
,
Tianyou Chai
Geometric Analysis Based Double Closed-Loop Iterative Learning Control of Output PDF Shaping of Fiber Length Distribution in Refining Process.
IEEE Trans. Ind. Electron.
66 (9) (2019)
Ping Zhou
,
Chenyu Wang
,
Mingjie Li
,
Hong Wang
,
Yongjian Wu
,
Tianyou Chai
Modeling error PDF optimization based wavelet neural network modeling of dynamic system and its application in blast furnace ironmaking.
Neurocomputing
285 (2018)
Ping Zhou
,
Mingjie Li
,
Dongwei Guo
,
Hong Wang
,
Tianyou Chai
Modeling for output fiber length distribution of refining process using wavelet neural networks trained by NSGA II and gradient based two-stage hybrid algorithm.
Neurocomputing
238 (2017)