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Multi-layer CNN-LSTM network with self-attention mechanism for robust estimation of nonlinear uncertain systems.
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- Frontiers in Neuroscience, 2024, p. 01, doi. 10.3389/fnins.2024.1379495
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Precision positioning control of wind tunnel centrosome.
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- IET Control Theory & Applications (Wiley-Blackwell), 2024, v. 18, n. 5, p. 659, doi. 10.1049/cth2.12599
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Dynamic Feature Extraction-Based Quadratic Discriminant Analysis for Industrial Process Fault Classification and Diagnosis.
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- Entropy, 2023, v. 25, n. 12, p. 1664, doi. 10.3390/e25121664
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Long-Term Prediction Model for NOx Emission Based on LSTM–Transformer.
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- Electronics (2079-9292), 2023, v. 12, n. 18, p. 3929, doi. 10.3390/electronics12183929
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- Article
Forecasting for Chaotic Time Series Based on GRP-lstmGAN Model: Application to Temperature Series of Rotary Kiln.
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- Entropy, 2023, v. 25, n. 1, p. 52, doi. 10.3390/e25010052
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Generative adversarial network–based real-time temperature prediction model for heating stage of electric arc furnace.
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- Transactions of the Institute of Measurement & Control, 2022, v. 44, n. 8, p. 1669, doi. 10.1177/01423312211052213
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A pruned support vector data description-based outlier detection method: Applied to robust process monitoring.
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- Transactions of the Institute of Measurement & Control, 2020, v. 42, n. 11, p. 2113, doi. 10.1177/0142331220905951
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Detecting outliers in industrial systems using a hybrid ensemble scheme.
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- Neural Computing & Applications, 2020, v. 32, n. 12, p. 8047, doi. 10.1007/s00521-019-04307-5
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- Article
A new monitoring method for the between‐mode transition of multimode processes.
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- Canadian Journal of Chemical Engineering, 2020, v. 98, n. 1, p. 254, doi. 10.1002/cjce.23614
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- Article
Transitional phase modeling and monitoring with respect to the effect of its neighboring phases.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2019, v. 145, p. 288, doi. 10.1016/j.cherd.2019.03.023
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Hierarchical batch-to-batch optimization of cobalt oxalate synthesis process based on data-driven model.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2019, v. 144, p. 185, doi. 10.1016/j.cherd.2019.01.032
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Multi‐Step Control Set‐Based Nonlinear Model Predictive Control with Persistent Disturbances.
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- Asian Journal of Control, 2019, v. 21, n. 2, p. 868, doi. 10.1002/asjc.1786
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- Article
A prediction and outlier detection scheme of molten steel temperature in ladle furnace.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2018, v. 138, p. 229, doi. 10.1016/j.cherd.2018.08.030
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- Article
Dynamic Operation Management of a Renewable Microgrid including Battery Energy Storage.
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- Mathematical Problems in Engineering, 2018, p. 1, doi. 10.1155/2018/5852309
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- Article
Structure and Parameter Identification of Ship's Multi-motion State Model.
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- Journal of Coastal Research, 2018, v. 83, p. 892, doi. 10.2112/SI83-147.1
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One-class classifiers ensemble based anomaly detection scheme for process control systems.
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- Transactions of the Institute of Measurement & Control, 2018, v. 40, n. 12, p. 3466, doi. 10.1177/0142331217724508
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Combining just‐in‐time modelling and batch‐wise unfolded PLS model for the derivative‐free batch‐to‐batch optimization.
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- Canadian Journal of Chemical Engineering, 2018, v. 96, n. 5, p. 1156, doi. 10.1002/cjce.23050
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Detecting Outliers in Electric Arc Furnace under the Condition of Unlabeled, Imbalanced, Non-stationary and Noisy Data.
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- Measurement & Control (0020-2940), 2018, v. 51, n. 3/4, p. 83, doi. 10.1177/0020294018771097
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A Nonlinear Block-Oriented Model for Wind Tunnel System.
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- Information Technology & Control, 2017, v. 46, n. 3, p. 403, doi. 10.5755/j01.itc.46.3.14457
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Intelligent control for Hammerstein nonlinear systems with arbitrary deadzone input.
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- Transactions of the Institute of Measurement & Control, 2017, v. 39, n. 4, p. 567, doi. 10.1177/0142331215611934
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Robust adaptive control of Hammerstein nonlinear systems and its application to typical CSTR problems.
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- International Journal of Adaptive Control & Signal Processing, 2017, v. 31, n. 2, p. 163, doi. 10.1002/acs.2690
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A robust adaptive control method for Wiener nonlinear systems.
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- International Journal of Robust & Nonlinear Control, 2017, v. 27, n. 3, p. 434, doi. 10.1002/rnc.3580
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Modeling and Optimization of the Drug Extraction Production Process.
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- Scientific Programming, 2016, p. 1, doi. 10.1155/2016/3279423
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Self-correcting modifier-adaptation strategy for batch-to-batch optimization based on batch-wise unfolded PLS model.
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- Canadian Journal of Chemical Engineering, 2016, v. 94, n. 9, p. 1770, doi. 10.1002/cjce.22565
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Optimization Control of the Color-Coating Production Process for Model Uncertainty.
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- Computational Intelligence & Neuroscience, 2016, p. 1, doi. 10.1155/2016/9731823
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Multi-objective particle swarm optimization with preference information and its application in electric arc furnace steelmaking process.
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- Structural & Multidisciplinary Optimization, 2015, v. 52, n. 5, p. 1013, doi. 10.1007/s00158-015-1276-2
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Adaptive control of stochastic Hammerstein systems with dead-zone input non-linearity.
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- Transactions of the Institute of Measurement & Control, 2015, v. 37, n. 6, p. 746, doi. 10.1177/0142331214546521
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Self-tuning final product quality control of batch processes using kernel latent variable model.
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- Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A, 2015, v. 94, p. 119, doi. 10.1016/j.cherd.2014.12.013
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Hybrid modelling for real-time prediction of the sulphur content during ladle furnace steel refining with embedding prior knowledge.
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- Neural Computing & Applications, 2014, v. 25, n. 5, p. 1125, doi. 10.1007/s00521-014-1589-x
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- Article
Pruned Bagging Aggregated Hybrid Prediction Models for Forecasting the Steel Temperature in Ladle Furnace.
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- Steel Research International, 2014, v. 85, n. 3, p. 405, doi. 10.1002/srin.201200302
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Single-Machine Scheduling with Job Rejection, Deteriorating Effects, and Deteriorating Maintenance Activities.
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- Mathematical Problems in Engineering, 2013, p. 1, doi. 10.1155/2013/389120
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Outlier detection for process control data based on a non-linear Auto-Regression Hidden Markov Model method.
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- Transactions of the Institute of Measurement & Control, 2012, v. 34, n. 5, p. 527, doi. 10.1177/0142331210397571
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Ladle Furnace Steel Temperature Prediction Model Based on Partial Linear Regularization Networks with Sparse Representation.
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- Steel Research International, 2012, v. 83, n. 3, p. 288, doi. 10.1002/srin.201100252
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Quality Prediction Based on Phase-Specific Average Trajectory for Batch Processes.
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- AIChE Journal, 2008, v. 54, n. 3, p. 693, doi. 10.1002/aic.11405
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