| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A Bilevel Programming Approach to Optimize C-phycocyanin Bio-production under Uncertainty
|
del Rio-Chanona, E.A.
|
|
2018
|
51 |
18 |
p. 209-214
|
artikel
|
| 2 |
Abnormal Condition Identification for the Electro-fused Magnesia Smelting Process
|
Li, Hui
|
|
2018
|
51 |
18 |
p. 720-725
|
artikel
|
| 3 |
Active Fault Diagnosis for Stochastic Nonlinear Systems: Online Probabilistic Model Discrimination
|
Martin-Casas, Marc
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|
2018
|
51 |
18 |
p. 702-707
|
artikel
|
| 4 |
Active Perturbations Around Estimated Future Inputs in Modifier Adaptation to Cope with Measurement Delays ⁎ ⁎ The research leading to these results has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement number 636942 “CONSENS—Integrated Control and Sensing”.
|
Gottu Mukkula, Anwesh Reddy
|
|
2018
|
51 |
18 |
p. 839-844
|
artikel
|
| 5 |
Adaptation strategies for tracking constraints under plant-model mismatch
|
Singhal, Martand
|
|
2018
|
51 |
18 |
p. 833-838
|
artikel
|
| 6 |
A Deep Learning Architecture for Predictive Control
|
Pon Kumar, Steven Spielberg
|
|
2018
|
51 |
18 |
p. 512-517
|
artikel
|
| 7 |
A Demand Response Strategy for Continuous Processes Using Dynamic Programming Approach
|
Liu, Yu
|
|
2018
|
51 |
18 |
p. 180-184
|
artikel
|
| 8 |
A Distributed Algorithm for Scenario-based Model Predictive Control using Primal Decomposition ⁎ ⁎ The authors gratefully acknowledge the financial support from SUBPRO, which is financed by the Research Council of Norway, major industry partners and NTNU.
|
Krishnamoorthy, Dinesh
|
|
2018
|
51 |
18 |
p. 351-356
|
artikel
|
| 9 |
A dual modifier adaptation optimization strategy based on process transfer model for new batch process
|
Chu, Fei
|
|
2018
|
51 |
18 |
p. 791-796
|
artikel
|
| 10 |
A Hybrid PSO Based on Dynamic Clustering for Global Optimization
|
Hongru, Li
|
|
2018
|
51 |
18 |
p. 269-274
|
artikel
|
| 11 |
A Kernel Connectivity-based Outlier Factor Algorithm for Rare Data Detection in a Baking Process ⁎ ⁎ The work presented in this paper is funded by EPSRC under grant EP/P004636/1.
|
Wang, Yanxia
|
|
2018
|
51 |
18 |
p. 297-302
|
artikel
|
| 12 |
A Modified Dynamic PLS for Quality Related Monitoring of Fractionation Processes
|
Xu, Xue
|
|
2018
|
51 |
18 |
p. 315-320
|
artikel
|
| 13 |
A Multi-scale model for CO2 capture: A Nickel-based oxygen carrier in Chemical-looping Combustion
|
You, Huabei
|
|
2018
|
51 |
18 |
p. 97-102
|
artikel
|
| 14 |
Analytics of Heterogeneous Process Data: Multiphase Flow Facility Case Study
|
Stief, Anna
|
|
2018
|
51 |
18 |
p. 363-368
|
artikel
|
| 15 |
An economic MPC formulation with offset-free asymptotic performance
|
Pannocchia, Gabriele
|
|
2018
|
51 |
18 |
p. 393-398
|
artikel
|
| 16 |
An Efficient Model Based Control Algorithm for the Determination of an Optimal Control Policy for a Constrained Stochastic Linear System
|
Prakash, J.
|
|
2018
|
51 |
18 |
p. 590-595
|
artikel
|
| 17 |
An Improved ABC Algorithm Based on Initial Population and Neighborhood Search
|
Pian, Jinxiang
|
|
2018
|
51 |
18 |
p. 251-256
|
artikel
|
| 18 |
An Integrated Biomimetic Control Strategy with Multi-agent Optimization for Nonlinear Chemical Processes ⁎ ⁎ This work is supported by DOE Grant No.: DE-FE0012451
|
Mirlekar, Gaurav
|
|
2018
|
51 |
18 |
p. 55-60
|
artikel
|
| 19 |
An integrated personnel allocation and machine scheduling problem for industrial size multipurpose plants
|
Santos, Fernando
|
|
2018
|
51 |
18 |
p. 156-161
|
artikel
|
| 20 |
An iterative algorithm for dynamic optimization of systems with input-dependent hydraulic delays
|
Clerget, Charles-Henri
|
|
2018
|
51 |
18 |
p. 7-12
|
artikel
|
| 21 |
A Non-equilibrium Approach to Model Flash Dynamics with Interface Transport
|
Romo-Hernandez, Aarón
|
|
2018
|
51 |
18 |
p. 874-879
|
artikel
|
| 22 |
A Novel Approach to Feedback Control with Deep Reinforcement Learning ⁎ ⁎ This work is supported by in part by MITACS, Alberta Innovates and Natural Sciences Engineering Research Council of Canada.
|
Wang, Yuan
|
|
2018
|
51 |
18 |
p. 31-36
|
artikel
|
| 23 |
A Platform for Fault Diagnosis of High-Speed Train based on Big Data ⁎ ⁎ Project supported by the National Natural Science Foundation, China(61490704, 61440015) and the National High-Tech. R&D Program, China (No. 2015AA043802).
|
Xu, Quan
|
|
2018
|
51 |
18 |
p. 309-314
|
artikel
|
| 24 |
Application of Constrained Multi-objective Evolutionary Algorithm in Multi-Source Compressed-air Pipeline Optimization Problems
|
Yang, Yongkuan
|
|
2018
|
51 |
18 |
p. 168-173
|
artikel
|
| 25 |
Application of Economics Optimizing Control to a Two-step Transesterification Reaction in a Pilot-Scale Reactive Distillation Column
|
Haßkerl, Daniel
|
|
2018
|
51 |
18 |
p. 67-72
|
artikel
|
| 26 |
Approaches for Creation and Evaluation of Computationally Efficient Thermofluid System Models ⁎ ⁎ This project was sponsored by the UTC Institute for Advanced Systems Engineering (UTC-IASE) of the University of Connecticut and the United Technologies Corporation. Any opinions expressed herein are those of the authors and do not represent those of the sponsor.
|
Baillie, Brian P.
|
|
2018
|
51 |
18 |
p. 868-873
|
artikel
|
| 27 |
A Scheduling Method Based on NSGA2 for Steelmaking and Continuous Casting Production Process
|
Li, Qing
|
|
2018
|
51 |
18 |
p. 174-179
|
artikel
|
| 28 |
A set-based model-free reinforcement learning design technique for nonlinear systems
|
Guay, Martin
|
|
2018
|
51 |
18 |
p. 37-42
|
artikel
|
| 29 |
A simple model of wastewater treatment plants for managing the quality of the Seine River
|
Robles-Rodriguez, C.E.
|
|
2018
|
51 |
18 |
p. 880-885
|
artikel
|
| 30 |
A spectroscopic chemometric modeling approach based on statistics pattern analysis
|
Shah, Devarshi
|
|
2018
|
51 |
18 |
p. 369-374
|
artikel
|
| 31 |
Asset fleet management in the process industry - a conceptual model
|
Spüntrup, F. Schulze
|
|
2018
|
51 |
18 |
p. 281-286
|
artikel
|
| 32 |
A Synergistic Approach to Robust Output Feedback Control: Tube-based Multi-stage NMPC
|
Subramanian, Sankaranarayanan
|
|
2018
|
51 |
18 |
p. 500-505
|
artikel
|
| 33 |
A Systematic Approach to Dynamic Monitoring of Industrial Processes Based on Second-Order Slow Feature Analysis ⁎ ⁎ This work is supported in part by the National Natural Science Foundation of China (Nos. 61673236 and 61433001), the National Basic Research Program of China (No. 2012CB720505).
|
Shang, Chao
|
|
2018
|
51 |
18 |
p. 387-392
|
artikel
|
| 34 |
A Systematic Framework for Assessing the Quality of Information in Data-Driven Applications for the Industry 4.0
|
Reis, Marco S.
|
|
2018
|
51 |
18 |
p. 43-48
|
artikel
|
| 35 |
A tube feedback iterative learning control for batch processes
|
Lu, Jingyi
|
|
2018
|
51 |
18 |
p. 785-790
|
artikel
|
| 36 |
Automated System Identification in Mineral Processing Industries: A Case Study using the Zinc Flotation Cell
|
Shardt, Yuri A.W.
|
|
2018
|
51 |
18 |
p. 132-137
|
artikel
|
| 37 |
Change Point Detection using the Kantorovich Distance Algorithm
|
Arifin, B.M.S.
|
|
2018
|
51 |
18 |
p. 708-713
|
artikel
|
| 38 |
Contents
|
|
|
2018
|
51 |
18 |
p. i-vi
|
artikel
|
| 39 |
Controller Design and Sparse Measurement Selection in Self-optimizing control
|
Axel Klemets, Jonatan Ralf
|
|
2018
|
51 |
18 |
p. 458-463
|
artikel
|
| 40 |
Control of a two-stage mixed suspension mixed product removal crystallizer ⁎ ⁎ This work has been done within the IMPROVISE project in the Institute for Sustainable Process Technology (ISPT).
|
Porru, Marcella
|
|
2018
|
51 |
18 |
p. 898-903
|
artikel
|
| 41 |
Control of Homogeneous Reaction Systems using Extent-Based LPV Models ⁎ ⁎ This work has been done within the project Improved Process Operation via Rigorous Simulation Models (IMPROVISE) in the Institute for Sustainable Process Technology (ISPT)
|
Marquez-Ruiz, A.
|
|
2018
|
51 |
18 |
p. 548-553
|
artikel
|
| 42 |
Control Performance Monitoring with Temporal Features and Dissimilarity Analysis for Nonstationary Dynamic Processes
|
Zhao, Chunhui
|
|
2018
|
51 |
18 |
p. 357-362
|
artikel
|
| 43 |
Control Reconfiguration to Improve HDA Process Optimality ⁎ ⁎ The author Lingjian Ye gratefully acknowledge the National Natural Science Foundation of China (NSFC) (61673349, 61304081), Ningbo Natural Science Foundation (2015A610151), Talent project of Zhejiang Association of Science and Technology (2017YCGC014).
|
Ye, Lingjian
|
|
2018
|
51 |
18 |
p. 434-439
|
artikel
|
| 44 |
Control structures for optimization: examples from chemical industry
|
Forsman, Krister
|
|
2018
|
51 |
18 |
p. 429-433
|
artikel
|
| 45 |
Data analytics for oil sands subcool prediction — a comparative study of machine learning algorithms
|
Li, Chaoqun
|
|
2018
|
51 |
18 |
p. 886-891
|
artikel
|
| 46 |
Data-Driven Fault Prognosis Based on Incomplete Time Slice Dynamic Bayesian Network 1 ⁎ This work was supported in part by the National Natural Science Foundation of China (No. 61374047, No. 61202473) and the Fundamental Research Funds for Central Universities (JUSRP111A49).
|
Zhang, Zhengdao
|
|
2018
|
51 |
18 |
p. 239-244
|
artikel
|
| 47 |
Data-Driven Process Network Planning: A Distributionally Robust Optimization Approach
|
Shang, Chao
|
|
2018
|
51 |
18 |
p. 150-155
|
artikel
|
| 48 |
Dead-Time Compensator for State-delay Stable Systems ⁎ ⁎ This work was supported by the projects PROME-TEOII/2013/004, Consellería de Educaci´on, Generalitat Valenciana, and TIN2014-56158-C4-4-P-AR, Ministerio de Economía y Competitividad, Spain, and the National Natural Science Foundation of China under Grant 61473137 and the 111 projects (Grant No. B12018 and B08015).
|
Albertos, P.
|
|
2018
|
51 |
18 |
p. 672-677
|
artikel
|
| 49 |
Design and Control of a Reactive Distillation Process for Synthesizing Propylene Carbonate from Indirect Alcoholysis of Urea
|
Wang, San-Jang
|
|
2018
|
51 |
18 |
p. 333-338
|
artikel
|
| 50 |
DESIGN AND CONTROL OF POLY(OXYMETHYLENE) DIMETHYL ETHERS PRODUCTION PROCESS DIRECTLY FROM FORMALDEHYDE AND METHANOL IN AQUEOUS SOLUTIONS
|
Ai, Zi-Jie
|
|
2018
|
51 |
18 |
p. 578-583
|
artikel
|
| 51 |
Design and sustainability analysis of a combined CO2 mineralization and desalination process
|
Oh, Jaewoo
|
|
2018
|
51 |
18 |
p. 85-90
|
artikel
|
| 52 |
Design of Robust Input-Constrained Feedback Controllers for Nonlinear Systems
|
Muñoz, Diego A.
|
|
2018
|
51 |
18 |
p. 732-737
|
artikel
|
| 53 |
Detection of Blockage Degree and Removing Strategies in Microreactor
|
Wang, L.
|
|
2018
|
51 |
18 |
p. 227-232
|
artikel
|
| 54 |
DiCCA with Discrete-Fourier Transforms for Power System Events Detection and Localization
|
Dong, Yining
|
|
2018
|
51 |
18 |
p. 726-731
|
artikel
|
| 55 |
Dual robust control of batch processes based on optimality-conditions parameterization
|
Paulen, Radoslav
|
|
2018
|
51 |
18 |
p. 774-779
|
artikel
|
| 56 |
Dynamic Control Design and Simulation of Biogas Pressurized Water Scrubbing Process
|
Cuimei, Bo
|
|
2018
|
51 |
18 |
p. 560-565
|
artikel
|
| 57 |
Dynamic-Inner Canonical Correlation and Causality Analysis for High Dimensional Time Series Data
|
Dong, Yining
|
|
2018
|
51 |
18 |
p. 476-481
|
artikel
|
| 58 |
Dynamic Modeling and Analysis of Amine-based Carbon Capture Systems
|
Jung, Howoun
|
|
2018
|
51 |
18 |
p. 91-96
|
artikel
|
| 59 |
Dynamic modeling of enzyme controlled metabolic networks using a receding time horizon
|
Lindhorst, Henning
|
|
2018
|
51 |
18 |
p. 203-208
|
artikel
|
| 60 |
Dynamic Optimization and Control of Chemical Looping Combustion Combined Cycle Power Plants ⁎ ⁎ This material is based upon work supported by the National Science Foundation under Grant No. 1054718. This work was partially sponsored by the United Technologies Corporation Institute for Advanced Systems Engineering (UTC-IASE) of the University of Connecticut. Any opinions expressed herein are those of the authors and do not represent those of the sponsor.
|
Han, Lu
|
|
2018
|
51 |
18 |
p. 845-850
|
artikel
|
| 61 |
Economic model predictive control of an absorber-stripper CO2 capture process for improving energy cost
|
Teck Chan, Lester Lik
|
|
2018
|
51 |
18 |
p. 109-114
|
artikel
|
| 62 |
Economic NMPC Strategies for Solid Sorbent-Based CO2 Capture
|
Yu, Mingzhao
|
|
2018
|
51 |
18 |
p. 103-108
|
artikel
|
| 63 |
Economic Stochastic Model Predictive Control Using the Unscented Kalman Filter ⁎ ⁎ This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 675215.
|
Bradford, Eric
|
|
2018
|
51 |
18 |
p. 417-422
|
artikel
|
| 64 |
Enforcing Model Adequacy in Real-Time Optimization via Dedicated Parameter Adaptation ⁎ ⁎ The research leading to these results has received funding from the Deutsche Forschungsgemeinschaft (DFG) under grant agreement number EN 152/41-1 and from the Swiss National Science Foundation under grant 200021E-158644.
|
Ahmad, Afaq
|
|
2018
|
51 |
18 |
p. 49-54
|
artikel
|
| 65 |
Evaluation of Steady-State and Dynamic Soft Sensors for Industrial Crude Distillation Unit under Parametric Constraints
|
Torgashov, Andrei
|
|
2018
|
51 |
18 |
p. 566-571
|
artikel
|
| 66 |
Experimental Design in Simultaneous Identification and Optimization of Batch Processes under Model-Plant Mismatch
|
Hille, Rubin
|
|
2018
|
51 |
18 |
p. 797-802
|
artikel
|
| 67 |
Extraction and Graphical Representation of Operator Responses to Multivariate Alarms in Industrial Facilities ⁎ ⁎ This work was supported by the Natural Sciences and Engineering Research Council of Canada via the CRD program.
|
Hu, Wenkai
|
|
2018
|
51 |
18 |
p. 25-30
|
artikel
|
| 68 |
Extraction of Plant-wide Oscillations using Fast Multivariate Empirical Mode Decomposition ⁎ ⁎ The authors would like to thank sponsor and financial support from Natural Science Foundation of Zhejiang, China (No. LR17F030002), Science Fund for Creative Research Groups of the National Natural Science Foundation of China (No. 61621002) and China MIIT Project: Research on the standard of software interoperability interface specification between ERP/MES and control system and the construction of testing/verification platform.
|
Lang, Xun
|
|
2018
|
51 |
18 |
p. 809-814
|
artikel
|
| 69 |
Extremum seeking based on a Hammerstein-Wiener representation
|
Feudjio Letchindjio, Christian G.
|
|
2018
|
51 |
18 |
p. 744-749
|
artikel
|
| 70 |
Fast Sensitivity-Based Nonlinear Economic Model Predictive Control with Degenerate NLP
|
Suwartadi, Eka
|
|
2018
|
51 |
18 |
p. 399-404
|
artikel
|
| 71 |
Fault detection and classification using artificial neural networks
|
Heo, Seongmin
|
|
2018
|
51 |
18 |
p. 470-475
|
artikel
|
| 72 |
Fault Detection in Continuous Glucose Monitoring Sensors for Artificial Pancreas Systems
|
Yu, Xia
|
|
2018
|
51 |
18 |
p. 714-719
|
artikel
|
| 73 |
Fault Detection using Empirical Mode Decomposition based PCA and CUSUM with Application to the Tennessee Eastman Process
|
Du, Yuncheng
|
|
2018
|
51 |
18 |
p. 488-493
|
artikel
|
| 74 |
Generic Process Visualization Using Parametric t-SNE
|
Zhu, Wenbo
|
|
2018
|
51 |
18 |
p. 803-808
|
artikel
|
| 75 |
Hurdle Modeling for Defect Data with Excess Zeros in Steel Manufacturing Process
|
Zhang, Xinmin
|
|
2018
|
51 |
18 |
p. 375-380
|
artikel
|
| 76 |
Hybrid Online Multi-Sensor Error Detection and Functional Redundancy for Artificial Pancreas Control Systems
|
Feng, Jianyuan
|
|
2018
|
51 |
18 |
p. 138-143
|
artikel
|
| 77 |
Identification and estimation of valve stiction by the use of a smoothed model
|
di Capaci, Riccardo Bacci
|
|
2018
|
51 |
18 |
p. 684-689
|
artikel
|
| 78 |
Identification and optimal control of fructo-oligosaccharide production
|
Schorsch, J.
|
|
2018
|
51 |
18 |
p. 678-683
|
artikel
|
| 79 |
ILC Based Economic Batch-to-Batch Optimization for Batch Processes
|
Lu, Pengcheng
|
|
2018
|
51 |
18 |
p. 768-773
|
artikel
|
| 80 |
Image-Based Process Monitoring Using Deep Belief Networks
|
Lyu, Yuting
|
|
2018
|
51 |
18 |
p. 115-120
|
artikel
|
| 81 |
Improved Batch Process Monitoring and Diagnosis Based on Multiphase KECA
|
Qi, Yongsheng
|
|
2018
|
51 |
18 |
p. 827-832
|
artikel
|
| 82 |
Integrated Process Design and Control of Cyclic Distillation Columns
|
Andersen, Bastian B.
|
|
2018
|
51 |
18 |
p. 542-547
|
artikel
|
| 83 |
Integration of model predictive control and backstepping approach and its stability analysis
|
Kim, Yeonsoo
|
|
2018
|
51 |
18 |
p. 405-410
|
artikel
|
| 84 |
Integration of Parameter Approximation and Real-Time Optimization for Load Change of HTR-PM
|
Yang, Cheng
|
|
2018
|
51 |
18 |
p. 275-280
|
artikel
|
| 85 |
LWS based PCA subspace ensemble model for soft sensor development
|
Shi, Xudong
|
|
2018
|
51 |
18 |
p. 649-654
|
artikel
|
| 86 |
Lyapunov exponents with Model Predictive Control for exothermic batch reactors
|
Kähm, Walter
|
|
2018
|
51 |
18 |
p. 423-428
|
artikel
|
| 87 |
Machine-learning for biopharmaceutical batch process monitoring with limited data
|
Tulsyan, Aditya
|
|
2018
|
51 |
18 |
p. 126-131
|
artikel
|
| 88 |
Map-Reduce Decentralized PCA for Big Data Monitoring and Diagnosis of Faults in High-Speed Train Bearings ⁎ ⁎ Support to this research was provided by the Natural Science Foundation of China (61490704, 61673097, 61573022), the Fundamental Research Funds for the Central Universities (N160804002, N160801001), the Fundamental Disciplinary Research Program of the Shenzhen Committee on Science and Innovation (20160207), and the Texas-Wisconsin-California Control Consortium (TWCCC).
|
Liu, Qiang
|
|
2018
|
51 |
18 |
p. 144-149
|
artikel
|
| 89 |
Maximizing Fault Detectability with Closed-Loop Control ⁎ ⁎ Z. Sun is now with Halliburton Energy Services, Houston, TX.
|
Sun, Zhijie
|
|
2018
|
51 |
18 |
p. 696-701
|
artikel
|
| 90 |
Model-based Control of Vapor-recompressed Batch Distillation Column ⁎ ⁎ Partial financial support for this work by the Government of India, Department of Science and Technology (DST)-INSPIRE grant IFA-13 ENG-61 is gratefully acknowledged.
|
Vibhute, Madhuri M.
|
|
2018
|
51 |
18 |
p. 554-559
|
artikel
|
| 91 |
Model-Based Fault-Tolerant Pitch Control of an Offshore Wind Turbine
|
Badihi, Hamed
|
|
2018
|
51 |
18 |
p. 221-226
|
artikel
|
| 92 |
Model-based State Estimation Based on Hybrid Cybernetic Models
|
Carius, L.
|
|
2018
|
51 |
18 |
p. 197-202
|
artikel
|
| 93 |
Modelling of the GAL1 Genetic Circuit in Yeast Using Three Equations ⁎ ⁎ Chi-Ching Hsu, Yu-Heng Wu, and Torbjörn Nordling was in part supported by the Ministry of Science and Technology, Taiwan (grant 105-2218-E-006-016-MY2 and 105-2911-I-006-518), and the Innovation and Technology Program (I-Dream), National Applied Research Laboratories (NARLabs), Taiwan. Filippo Menolascina was in part supported by the Royal Society of Edinburgh, U.K. We sincerely thank Diego di Bernardo and Gianfranco Fiore for providing their data, Matlab code, and helping us understand their analysis published in Fiore et al. (2013).
|
Hsu, Chi-Ching
|
|
2018
|
51 |
18 |
p. 185-190
|
artikel
|
| 94 |
Model predictive control of fuel cells system within hybrid renewable energy generation
|
Chen, Scarlett
|
|
2018
|
51 |
18 |
p. 856-861
|
artikel
|
| 95 |
Model Predictive Control of Simulated Moving Bed Chromatography for Binary and Pseudo-binary Separations: Simulation Study
|
Lee, Ju Weon
|
|
2018
|
51 |
18 |
p. 530-535
|
artikel
|
| 96 |
Model predictive control strategy of energy cost management for a compressed natural gas fuelling station
|
Kagiri, Charles
|
|
2018
|
51 |
18 |
p. 851-855
|
artikel
|
| 97 |
Model Quality Assessment and Model Mismatch Detection: A Temporal Smoothness Regularization Approach
|
Gao, Xinqing
|
|
2018
|
51 |
18 |
p. 1-6
|
artikel
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| 98 |
Model-supported Patient Stratification Using Set-based Estimation Methods
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Rudolph, Nadine
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2018
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51 |
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p. 892-897
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artikel
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| 99 |
Modified Hankel Interaction Index Array for Input-Output Pairing with Improved Characteristics
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Moaveni, Bijan
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2018
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51 |
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p. 452-457
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artikel
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| 100 |
Multi Objective Dynamic Optimization Study of Butylated Urea Formaldehyde Resin Process in a Batch Reactor
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Patel, Garima
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2018
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51 |
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p. 780-784
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artikel
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| 101 |
Multiresolution Analytics for Large Scale Industrial Processes
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Reis, Marco S.
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2018
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51 |
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p. 464-469
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artikel
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| 102 |
New Multi-Commodity Flow Formulations for the Generalized Pooling Problem ⁎ ⁎ The authors are grateful to the Collaborative Research and Development Grants (CRDPJ 485798) from Natural Sciences and Engineering Research Council of Canada.
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Cheng, Xin
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2018
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51 |
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p. 162-167
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artikel
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| 103 |
Novel common and special feature extraction method for modeling multi-grade processes
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Liu, Jingxiang
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2018
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51 |
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p. 494-499
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artikel
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| 104 |
On an Aspect of Implementing Real-Time Optimization: Establishing the Suspending and Activating Conditions Incorporating Process Monitoring ⁎ ⁎ The author Lingjian Ye gratefully acknowledge the National Natural Science Foundation of China (NSFC) (61673349, 61304081), Talent project of Zhejiang Association of Science and Technology (2017YCGC014).
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Ye, Lingjian
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2018
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51 |
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p. 79-84
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artikel
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| 105 |
Online Alarm Flood Classification Using Alarm Coactivations ⁎ ⁎ Financial support is gratefully acknowledged from the Marie Skodowska Curie Horizon 2020 EID-ITN project PROcess NeTwork Optimization for efficient and sustainable operation of Europe’s process industries taking machinery condition and process performance into account PRONTO, Grant agreement No 675215.
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Lucke, Matthieu
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2018
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51 |
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p. 345-350
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artikel
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| 106 |
Online Learning Algorithm for LSSVM Based Modeling with Time-varying Kernels
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Kong, Weijian
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2018
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51 |
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p. 626-630
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artikel
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| 107 |
Optimal design of the inlet temperature based periodic operation of non-isothermal CSTR using nonlinear output frequency response functions
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Shi, Hongyan
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2018
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51 |
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p. 620-625
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artikel
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| 108 |
Optimal Operation with Changing Active Constraint Regions using Classical Advanced Control ⁎ ⁎ This work was partly supported by the Norwegian Research Council under HighEFF (Centre for an Energy Efficient and Competitive Industry for the Future).
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Reyes-Lúa, Adriana
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2018
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51 |
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p. 440-445
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artikel
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| 109 |
Optimal Sensor and Actuator Scheduling in Sampled-Data Control of Spatially Distributed Processes ⁎ ⁎ Financial support by NSF, CBET-1438456, is gratefully acknowledged.
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Xue, Da
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2018
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51 |
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p. 327-332
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artikel
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| 110 |
Optimization and control of offshore wind farms with energy storage systems
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Wang, Xiaonan
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2018
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51 |
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p. 862-867
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artikel
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| 111 |
Optimization-based Investigations of a Thermofluidic Engine for Low-grade Heat Recovery
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Wang, Yukun
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2018
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51 |
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p. 690-695
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artikel
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| 112 |
Output Regulation for a Class of Parameter Uncertain Systems
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Yan, Fei
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2018
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51 |
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p. 602-607
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artikel
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| 113 |
Parallelizable Real-Time Algorithm for Integrated Experiment Design MPC
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Feng, Xuhui
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2018
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51 |
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p. 518-523
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artikel
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| 114 |
Parameter Estimation for Signal Transduction Networks from Experimental Time Series Using Picard Iteration
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Haeseler, Friedrich v.
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2018
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51 |
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p. 191-196
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artikel
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| 115 |
Parameter Identification of Train Basic Resistance Using Multi-Innovation Theory ⁎ ⁎ This work is supported by the Beijing Laboratory of Urban Rail Transit, the Beijing Key Laboratory of Urban Rail Transit Automation and Control, the research funds of National Natural Science Foundation of China under Grant (No. 61790570, No. 61790573), Jiangsu Province Industry University Prospective Joint Research Project (BY2015019-29), Beijing Jiaotong University (No. 2015JBZ007, No. 2017JBM076), and the State Key Laboratory of Rail Traffic Control and Safety (Beijing Jiaotong University) (No. RCS2016ZJ004, No. RCS2017ZT013, and No. RCS2018ZT012).
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Liu, Xiaoyu
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2018
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51 |
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p. 637-642
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artikel
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| 116 |
Parameter Subset Selection in Differential Equation Models with Dead Time
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Vo, A. Duong
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2018
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51 |
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p. 661-666
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artikel
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| 117 |
Passivity-based Input Observer
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Zhao, Zixi
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2018
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51 |
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p. 821-826
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artikel
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| 118 |
Pattern and Knowledge Extraction using Process Data Analytics: A Tutorial
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Tsai, Yiting
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2018
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51 |
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p. 13-18
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artikel
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| 119 |
PCA-SDG Based Process Monitoring and Fault Diagnosis: Application to an Industrial Pyrolysis Furnace
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Han, Xianyao
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2018
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51 |
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p. 482-487
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artikel
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| 120 |
PET Viscosity Prediction Using JIT-based Extreme Learning Machine
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Li, Zhenxing
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2018
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51 |
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p. 608-613
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artikel
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| 121 |
PI-control design of continuum models of production systems governed by scalar hyperbolic partial differential equation
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Xu, Xiaodong
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2018
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51 |
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p. 584-589
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artikel
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| 122 |
Power Maximization of Wind Farms using Discrete-time Distributed Extremum Seeking Control
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Ebegbulem, Judith
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2018
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51 |
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p. 339-344
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artikel
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| 123 |
Prediction Error based Interaction Measure for Control Configuration Selection in Linear and Nonlinear Systems
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Arranz, Miguel Castaño
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2018
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51 |
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p. 446-451
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artikel
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| 124 |
Prediction of Physical Properties of Crude Oil Based on Ensemble Random Weights Neural Network
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Lu, Jun
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2018
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51 |
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p. 655-660
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artikel
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| 125 |
Process Monitoring Based on Performance-Triggered Scheme
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Ming-shan, Zhang
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2018
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51 |
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p. 321-326
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artikel
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| 126 |
Product Attribute Forecast: Adaptive Model Selection Using Real-Time Machine Learning
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Bayrak, Elif Seyma
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2018
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51 |
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p. 121-125
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artikel
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| 127 |
Quality Analysis and Prediction for Start-up Process of Injection Molding Processes
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Zou, Mingjun
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2018
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51 |
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p. 233-238
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artikel
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| 128 |
Quasi-Infinite Adaptive Horizon Nonlinear Model Predictive Control
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Griffith, Devin W.
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2018
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51 |
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p. 506-511
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artikel
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| 129 |
Regulation of soil moisture using zone model predictive control
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Mao, Yawen
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2018
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51 |
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p. 762-767
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artikel
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| 130 |
Reinforced Genetic Algorithm using Clustering based on Statistical Estimation
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Park, Taekyoon
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2018
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51 |
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p. 287-291
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artikel
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| 131 |
Reliable Iterative RTO of a Continuously Operated Hydroformylation Process
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Hernández, Reinaldo
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2018
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51 |
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p. 61-66
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artikel
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| 132 |
Research and application of causal network modeling based on process knowledge and modified transfer entropy
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Qunxiong, Zhu
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2018
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51 |
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p. 303-308
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artikel
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| 133 |
Research on Optimization for Safe Layout of Hazardous Chemicals Warehouse Based on Genetic Algorithm
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bo, Dai
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2018
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51 |
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p. 245-250
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artikel
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| 134 |
Robust and Asymmetric Assessment of the Benefits from Improved Control – Industrial Validation
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Domański, Paweł D.
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2018
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51 |
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p. 815-820
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artikel
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| 135 |
Robust Optimal Feedback Control for Periodic Biochemical Processes
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Villanueva, Mario Eduardo
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2018
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51 |
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p. 756-761
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artikel
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| 136 |
Robust Optimization in High-Dimensional Data Space with Support Vector Clustering
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Shang, Chao
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2018
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51 |
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p. 19-24
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artikel
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| 137 |
Robust Sampling Time Design for Biochemical Systems
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Yu, Hui
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2018
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51 |
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p. 215-220
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artikel
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| 138 |
Robust Self-Tuning Control Design under Probabilistic Uncertainty using Polynomial Chaos Expansion-based Markov Models
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Du, Yuncheng
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2018
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51 |
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p. 750-755
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artikel
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| 139 |
Root Cause Diagnosis of Process Faults Using Conditional Granger Causality Analysis and Maximum Spanning Tree
|
Chen, Han-Sheng
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2018
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51 |
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p. 381-386
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artikel
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| 140 |
Selective Ensemble Least Square Support Vector Machine with Its Application
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Tang, J.
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2018
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51 |
18 |
p. 631-636
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artikel
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| 141 |
Self-Optimizing Control in Chemical Recycle Processes
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Straus, Julian
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2018
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51 |
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p. 536-541
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artikel
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| 142 |
Semi-Global Asymptotic Control by Sampled-Data Output Feedback ⁎ ⁎ This work was supported in part by the Key Project of NSFC under Grant 61533009, Projects JCYJ20150403161923519, KCYKYQD2017005 and 111 Project (B08015)
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Lin, Wei
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2018
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51 |
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p. 596-601
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artikel
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| 143 |
Simultaneous State and Parameter Estimation using Receding-horizon Nonlinear Kalman Filter
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Rangegowda, Pavanraj H.
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2018
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51 |
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p. 411-416
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artikel
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| 144 |
Soft Sensor Development for Multimode Processes Based on Semisupervised Gaussian Mixture Models ⁎ ⁎ This work was supported by the National Key Research and Development Program of China (2017YFB0304203) and by the Natural Science Foundation of China (61703367).
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Shao, Weiming
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2018
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51 |
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p. 614-619
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| 145 |
Solution of the periodic Belousov-Zhabotinsky reaction using a closed-loop mechanism
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Zhai, Chi
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2018
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51 |
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p. 738-743
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artikel
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| 146 |
Sparse least squares support vector machines based on Meanshift clustering method
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Wang, X.
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2018
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51 |
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p. 292-296
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artikel
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| 147 |
State estimation of wastewater treatment plants based on reduced-order model
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Yin, Xunyuan
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2018
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51 |
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p. 572-577
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artikel
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| 148 |
State of Health Estimation for Lithium-Ion Batteries
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Kong, XiangRong
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2018
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51 |
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p. 667-671
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artikel
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| 149 |
System Reconfiguration and Fault-Tolerant for Distributed Model Predictive Control Using Parameterized Network Topology
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Xiao, Guannan
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2018
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51 |
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p. 524-529
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artikel
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| 150 |
Tracking control on target signal for a class of uncertain neutral systems
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Xu, Yujie
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2018
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51 |
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p. 257-262
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artikel
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| 151 |
Tracking error plus damping injection control of non-minimum phase processes
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Nguyen, T. Sang
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2018
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51 |
18 |
p. 643-648
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artikel
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| 152 |
Two-Stage Stochastic Optimization of a hydrogen network
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Gutierrez, Gloria
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2018
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51 |
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p. 263-268
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artikel
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| 153 |
Validation of a hydrogen network RTO application for decision support of refinery operators
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Galan, Anibal
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2018
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51 |
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p. 73-78
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