| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
Adaptive Design of Alarm Systems in Industrial Processes
|
Asaadi, Mohsen
|
|
|
58 |
14 |
p. 841-846
|
article
|
| 2 |
A Decomposition Approach to Characterizing Feasibility in Acyclic Multi-Unit Processes ⁎ ⁎ This work is co-funded by Eli Lilly & Company through the Pharmaceutical Systems Engineering Lab (PharmaSEL) and by the Engineering and Physical Sciences Research Council (EP-SRC) as part of its Prosperity Partnership Programme under grant EP/T518207/1.
|
Mowbray, Max
|
|
|
58 |
14 |
p. 216-221
|
article
|
| 3 |
A Deep Reinforcement Learning-Based PID Tuning Strategy for Nonlinear MIMO Systems with Time-varying Uncertainty
|
Wang, Hao
|
|
|
58 |
14 |
p. 887-892
|
article
|
| 4 |
A distributed Kalman filter based fault detection scheme incorporating weighted average consensus algorithm for large-scale interconnected systems ⁎ ⁎ This work was supported in part by the National Natural Science Foundation of China under grants 62373012 and 61903026, the Beijing Natural Science Foundation, China under grant 4212040, the Project for Outstanding Youth Team of USTB (Fundamental Research Funds for the Central Universities) under grant FRF-EYIT-23-06.
|
Yuan, Haozhou
|
|
|
58 |
14 |
p. 586-591
|
article
|
| 5 |
A Feasibility Condition for the Governor-based Tuning of Explicit MPC: Application to a Hydraulic Plant ⁎ ⁎ This research is funded by the European Commission under the grant no. 101079342 (Fostering Opportunities Towards Slovak Excellence in Advanced Control for Smart Industries). MF also acknowledges the contribution of the Slovak Research and Development Agency under the project APVV-21-0019.
|
Dyrska, Raphael
|
|
|
58 |
14 |
p. 538-543
|
article
|
| 6 |
A First-Engineering Principles Model for Dynamical Simulation of a Calciner in Cement Production
|
Svensen, Jan Lorenz
|
|
|
58 |
14 |
p. 390-396
|
article
|
| 7 |
A Hierarchical MPC Framework to Mitigate Faults and Risks in Microgrids ⁎ ⁎ This work has been funded by MCIN/AEI/10.13039/501100011033 under grant PID2019-104149RB-I00 (project SAFEMPC) and PID2022-142069OB-I00.
|
Zafra-Cabeza, Ascension
|
|
|
58 |
14 |
p. 313-318
|
article
|
| 8 |
A Hybrid-based Clustering Approach for Fault Detection in HVAC Systems
|
Hassanpour, Hesam
|
|
|
58 |
14 |
p. 259-264
|
article
|
| 9 |
A Hybrid Modeling Approach to Predict Pollutant Scrubber Remaining Useful Life
|
Venegas, Juan M.
|
|
|
58 |
14 |
p. 670-675
|
article
|
| 10 |
A Modular Soft Sensor for Centrifugal Pumps
|
Leonow, Sebastian
|
|
|
58 |
14 |
p. 91-96
|
article
|
| 11 |
Analysis of Aging in Lithium-ion Batteries: Fundamental Modeling and Parameter Investigation
|
Oh, Hyejung
|
|
|
58 |
14 |
p. 500-505
|
article
|
| 12 |
A New Modeling Framework for Real-Time Extreme Electricity Price Forecasting
|
Peng, You
|
|
|
58 |
14 |
p. 899-904
|
article
|
| 13 |
An Unsupervised Machine Learning Approach for Process Monitoring by Visual Analytics
|
Garcés, Hugo O.
|
|
|
58 |
14 |
p. 847-854
|
article
|
| 14 |
Applying Sampling-Based Convex Relaxations to Dynamic Process Models ⁎ ⁎ This work was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) under Grant RGPIN-2017-05944.
|
Chui, Ho-Ching
|
|
|
58 |
14 |
p. 337-341
|
article
|
| 15 |
Approximation Of Constrained Sample-based Filters Using Neural Networks
|
Dev, Abhilash
|
|
|
58 |
14 |
p. 121-126
|
article
|
| 16 |
A simple constraint-switching control structure for flexible operation of an alkaline water electrolyzer
|
Cammann, Lucas
|
|
|
58 |
14 |
p. 706-711
|
article
|
| 17 |
A simplified dynamic model of direct stem generation solar plants for state estimation and control applications ⁎ ⁎ The authors thanks the brazilian agencies CNPq and CAPES that have partially funded the research under projects: CNPq 158803/2021-3, CNPq 403949/2021-1, CNPq 406477/2022-1, CNPq 304032/2019-0, CAPES/Print/Automação 4.0, and CAPES 88881.878833/2023-01.
|
de Andrade, Gustavo A.
|
|
|
58 |
14 |
p. 61-66
|
article
|
| 18 |
A Transfer State Estimator for Uncertain Parameters and Noise Statistics ⁎ ⁎ This work was supported by the National Natural Science Foundation of China (61991402, 61833007, 61991400).
|
Gao, Shuang
|
|
|
58 |
14 |
p. 192-197
|
article
|
| 19 |
A Virtual Cycle-based Iterative learning Control Framework for Repetitive System with Randomly Varying Initial State
|
Gao, Kaihua
|
|
|
58 |
14 |
p. 563-568
|
article
|
| 20 |
Bacteria cells estimation in wastewater treatment plants using data-driven models ⁎ ⁎ This work has been supported by the King Abdullah University of Science and Technology (KAUST) baseline research fund (BAS/1/1627-01-01) awarded to Taous-Meriem Laleg-Kirati, baseline research fund (BAS/1/1033-01-01) awarded to Pei-Ying Hong and NGTC-AI fund (REI/1/5233-01-01) awarded to Pei-Ying Hong and Taous-Meriem Laleg-Kirati.
|
Aljehani, Fahad
|
|
|
58 |
14 |
p. 718-723
|
article
|
| 21 |
BOIS: Bayesian Optimization of Interconnected Systems
|
González, Leonardo D.
|
|
|
58 |
14 |
p. 446-451
|
article
|
| 22 |
Causal-Transformer: Spatial-temporal causal attention-based transformer for time series prediction
|
Zhu, Yaqi
|
|
|
58 |
14 |
p. 79-84
|
article
|
| 23 |
Complementarity-constrained predictive control for efficient gas-balanced hybrid power systems ⁎ ⁎ The Research Council of Norway funds this research through PETROSENTER LowEmission (project code 296207).
|
Hoang, Kiet Tuan
|
|
|
58 |
14 |
p. 506-512
|
article
|
| 24 |
Contents
|
|
|
|
58 |
14 |
p. i-vi
|
article
|
| 25 |
Controlling Paracetamol Unseeded Batch Crystallization with NMPC and Inverse Model
|
Lima, Fernando Arrais R.D.
|
|
|
58 |
14 |
p. 31-36
|
article
|
| 26 |
Control Valve Stiction Detection using Learning Vector Quantization Neural Network
|
Damarla, Seshu K.
|
|
|
58 |
14 |
p. 379-383
|
article
|
| 27 |
Cyberattack Detection and Handling for Neural Network-Approximated Economic Model Predictive Control ⁎ ⁎ Financial support from the the National Aeronautics and Space Administration (NASA), under award number 80NSSC20M0124, Michigan Space Grant Consortium (MSGC), the Air Force Office of Scientific Research (award number FA9550-19-1-0059), the National Science Foundation CNS-1932026 and CBET-2143469, and Wayne State University is gratefully acknowledged.
|
Halloun, Jihan Abou
|
|
|
58 |
14 |
p. 580-585
|
article
|
| 28 |
Data-Driven Design of Predictive Functional Control Based Feed-Forward Disturbance Rejection Controller
|
Ashida, Yoichiro
|
|
|
58 |
14 |
p. 610-615
|
article
|
| 29 |
Data-Driven Nonlinear State Observation using Video Measurements ⁎ ⁎ This work is supported by the faculty start-up fund from NC State University.
|
Weeks, Cormak
|
|
|
58 |
14 |
p. 787-792
|
article
|
| 30 |
Data-driven nonlinear system identification and SIR particle filtering for chemical process monitoring and prediction
|
Santhakumaran, Sarmilan
|
|
|
58 |
14 |
p. 434-439
|
article
|
| 31 |
Data-driven performance monitoring under setpoint tracking and disturbance rejection
|
Munaro, Celso J.
|
|
|
58 |
14 |
p. 569-574
|
article
|
| 32 |
Data-predictive Control of Multi-Timescale Nonlinear Processes ⁎ ⁎ This work was supported in part by the Australian Research Council under Grant DP220100355.
|
Tang, Jun Wen
|
|
|
58 |
14 |
p. 109-114
|
article
|
| 33 |
Defining a three-zone multivariate specification region for incoming raw materials
|
Paris, Adéline
|
|
|
58 |
14 |
p. 805-810
|
article
|
| 34 |
Design of a Database-Driven PID Controller using the Estimated Input/Output Data
|
Kinoshita, Takuya
|
|
|
58 |
14 |
p. 700-705
|
article
|
| 35 |
Detecting Process Faults using Singular Spectrum Decomposition
|
Krishnannair, S.
|
|
|
58 |
14 |
p. 575-579
|
article
|
| 36 |
Discovering Latent Causal Variables Using a Trade-Off Between Compression and Causality ♦ ♦ Xinrui Gao acknowledges funding from the Swiss National Science Foundation under NCCR Automation, Grant # 180545.
|
Gao, Xinrui
|
|
|
58 |
14 |
p. 1-6
|
article
|
| 37 |
Distributed Estimation and Control of Process Networks using Adaptive Community Detection
|
Ebrahimi, Amirmohammad
|
|
|
58 |
14 |
p. 754-760
|
article
|
| 38 |
Dynamical Metabolic Model for Optimizing Biotin-Regulated Lipid Production in Microalgae-Bacteria Symbiosis
|
Pessi, Bruno Assis
|
|
|
58 |
14 |
p. 151-156
|
article
|
| 39 |
Dynamic mode decomposition based MPC of fluidized bed spray agglomeration
|
Otto, E.
|
|
|
58 |
14 |
p. 694-699
|
article
|
| 40 |
Dynamic modeling and simulation of a flash clay calciner
|
Cantisani, Nicola
|
|
|
58 |
14 |
p. 283-288
|
article
|
| 41 |
Dynamic Multiscale Hybrid Modelling of a CHO cell system for Recombinant Protein Production
|
Pennington, Oliver
|
|
|
58 |
14 |
p. 133-138
|
article
|
| 42 |
Dynamic Optimization of Chemical Looping Reforming Fixed Bed Reactor for Blue Hydrogen Production
|
Irhamna, Adrian R.
|
|
|
58 |
14 |
p. 482-487
|
article
|
| 43 |
ECCBO: An Inherently Safe Bayesian Optimization with Embedded Constraint Control for Real-Time Optimization ⁎ ⁎ Financial support from the NWO Veni Early Career Talent Scheme is gratefully acknowledged.
|
Krishnamoorthy, Dinesh
|
|
|
58 |
14 |
p. 893-898
|
article
|
| 44 |
Economic Model Predictive Control for Cryogenic Air Separation Unit Startup
|
Quarshie, Anthony W.K.
|
|
|
58 |
14 |
p. 761-766
|
article
|
| 45 |
Efficient Performance-based MPC Tuning in High Dimensions using Bayesian Optimization over Sparse Subspaces
|
Kudva, Akshay
|
|
|
58 |
14 |
p. 458-463
|
article
|
| 46 |
Elucidation of Macroscopic Stoichiometry and Kinetics of Bioprocesses using Sparse Identification
|
Pimentel, Guilherme A.
|
|
|
58 |
14 |
p. 422-427
|
article
|
| 47 |
Energy Efficient Temperature and Humidity Control in Building Climate Systems
|
Ghawash, Faiq
|
|
|
58 |
14 |
p. 544-549
|
article
|
| 48 |
Enhanced Decision-Making in Gas Lift Optimization through Deep Neural Network-based Multi-Objective Approaches and Feasible Operating Regions
|
Rebello, Carine Menezes
|
|
|
58 |
14 |
p. 301-306
|
article
|
| 49 |
Enhanced Hybrid Model for Gas-Lifted Oil Production
|
Faria, Ruan R.
|
|
|
58 |
14 |
p. 7-12
|
article
|
| 50 |
Enhancing Closed-Loop Performance in Manufacturing Processes Using Universal Controller Tuning for Industrial Practice
|
Valábek, Patrik
|
|
|
58 |
14 |
p. 373-378
|
article
|
| 51 |
Enhancing process flowsheet design through masked hybrid Proximal Policy Optimization
|
Reynoso-Donzelli, Simone
|
|
|
58 |
14 |
p. 646-651
|
article
|
| 52 |
Enhancing Reinforcement Learning Robustness via Integrated Multiple-Model Adaptive Control
|
Rastegarpour, Soroush
|
|
|
58 |
14 |
p. 360-366
|
article
|
| 53 |
Evaluation of Direct and Iterative Approaches for the Parallel Solution of Structured Nonlinear Optimization Problems
|
Lueg, Laurens R.
|
|
|
58 |
14 |
p. 793-798
|
article
|
| 54 |
Fast Quantum Gate Control with Trajectory Optimization
|
Hu, Shouliang
|
|
|
58 |
14 |
p. 331-336
|
article
|
| 55 |
Fault Data Injection Detection on a Digital-Twin: Fresnel Solar Concentrator
|
Chicaiza, William D.
|
|
|
58 |
14 |
p. 37-42
|
article
|
| 56 |
Fault Detection for Industrial Chemical Production Using Siamese Autoencoder
|
Ji, Cheng
|
|
|
58 |
14 |
p. 823-828
|
article
|
| 57 |
Fault Detection via Autoencoder Latent Space Differences Between Reference Model and the Plant Operation ⁎ ⁎ We are deeply grateful for the financial support provided by the Ontario Research Fund and the McMaster Advanced Control Consortium (MACC).
|
Villagómez, Enrique Luna
|
|
|
58 |
14 |
p. 628-633
|
article
|
| 58 |
Globally Convergent Method for Optimal Control of Hybrid Dynamical Systems
|
Kazi, Saif R.
|
|
|
58 |
14 |
p. 868-873
|
article
|
| 59 |
Graph Neural Network Representation of State Space Models of Metabolic Pathways
|
Aghaee, Mohammad
|
|
|
58 |
14 |
p. 464-469
|
article
|
| 60 |
Greenhouse Gas Emissions Reduction of a Hybrid-Powered Ferry using Deep Reinforcement Learning for Power Load Distribution ⁎ ⁎ Funded by the Climate Action and Awareness Fund (CAAF).
|
Abdalla, A.
|
|
|
58 |
14 |
p. 169-175
|
article
|
| 61 |
Hierarchical extended parameter estimation algorithms for finite impulse response moving average models
|
Ding, Feng
|
|
|
58 |
14 |
p. 416-421
|
article
|
| 62 |
Human-in-the-loop controller tuning using Preferential Bayesian Optimization
|
Coutinho, João P.L.
|
|
|
58 |
14 |
p. 13-18
|
article
|
| 63 |
Identification of Most Critical Alarms for Alarm Flood Reduction
|
Rahaman, Md Habibur
|
|
|
58 |
14 |
p. 835-840
|
article
|
| 64 |
Improved Gain Conditioning for Linear Model Predictive Control
|
Harb, Mouna Y.
|
|
|
58 |
14 |
p. 748-753
|
article
|
| 65 |
Inferential Sensors in an Extended Kalman Filter for Fault Estimation ⁎ ⁎ This work was supported by the Pratt & Whitney Institute for Advanced Systems Engineering (P&W-IASE) of the University of Connecticut. Any opinions expressed herein are those of the authors and do not represent those of the sponsor.
|
Safikou, Efi
|
|
|
58 |
14 |
p. 634-639
|
article
|
| 66 |
Input-output Driven Cross-Attention for Transformer for Quality Prediction of Light Naphtha in Industrial Hydrocracking Processes
|
Yang, Ziyi
|
|
|
58 |
14 |
p. 85-90
|
article
|
| 67 |
Integrated Data Analytics and Regression Techniques for Real-time Anomaly Detection in Industrial Processes
|
Fáber, Rastislav
|
|
|
58 |
14 |
p. 319-324
|
article
|
| 68 |
Integrated scheduling and control with closed-loop prediction ⁎ ⁎ Financial support from Research Excellence (ORF-RE) Award RE09-058 and McMaster Advanced Control Consortium (MACC)
|
Dering, D.
|
|
|
58 |
14 |
p. 640-645
|
article
|
| 69 |
Integrating Fault Diagnosis with Moving Horizon Estimation: A CSTR Case Study
|
Bagla, Giriraj
|
|
|
58 |
14 |
p. 295-300
|
article
|
| 70 |
Integrating Knowledge-Guided Symbolic Regression and Model-Based Design of Experiments to Accelerate Process Flow Diagram Development
|
Rogers, Alexander W.
|
|
|
58 |
14 |
p. 127-132
|
article
|
| 71 |
Integration of time scales in health-aware control ⁎ ⁎ The authors acknowledge the support of the Norwegian Research Council through the AutoPRO project.
|
de Oliveira, Rafael D.
|
|
|
58 |
14 |
p. 222-227
|
article
|
| 72 |
Interpretable Data-Driven Capacity Estimation of Lithium-ion Batteries
|
Wang, Yixiu
|
|
|
58 |
14 |
p. 139-144
|
article
|
| 73 |
Interpretable Industrial Soft Sensor Design Based on Informer and SHAP
|
Cao, Liang
|
|
|
58 |
14 |
p. 73-78
|
article
|
| 74 |
Interpretable Propagation Path Neural Network for Fault Detection and Diagnosis
|
Nguyen, Benjamin
|
|
|
58 |
14 |
p. 19-24
|
article
|
| 75 |
Kinetic parameter estimation of reaction systems via dynamic regressor extension and mixing procedure
|
Nguyen, Thanh Sang
|
|
|
58 |
14 |
p. 210-215
|
article
|
| 76 |
Kinetics Parameter Identification of Chain Shuttling Polymerization Based on Physics-Informed Neural Networks
|
Zhao, Jieming
|
|
|
58 |
14 |
p. 184-191
|
article
|
| 77 |
Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging
|
Hirt, Sebastian
|
|
|
58 |
14 |
p. 742-747
|
article
|
| 78 |
Leveraging reinforcement learning and evolutionary strategies for dynamic multi objective decision making in supply chain management
|
Qiu, Yue
|
|
|
58 |
14 |
p. 598-603
|
article
|
| 79 |
Linear-Quadratic Level Control for Flotation through Reinforcement Learning
|
Norlund, F.
|
|
|
58 |
14 |
p. 799-804
|
article
|
| 80 |
Lyapunov-Based Cyberattack Detection for Distinguishing Between Sensor and Actuator Attacks
|
Messina, Dominic
|
|
|
58 |
14 |
p. 604-609
|
article
|
| 81 |
Machine Learning Based Calibration of Force Sensors for Bonnet Polishing Process
|
Darowski, Michal
|
|
|
58 |
14 |
p. 115-120
|
article
|
| 82 |
Machine learning multi-step-ahead modelling with uncertainty assessment
|
Costa, Erbet Almeida
|
|
|
58 |
14 |
p. 25-30
|
article
|
| 83 |
Model-based Control of a Glass Melting Furnace
|
di Capaci, Riccardo Bacci
|
|
|
58 |
14 |
p. 253-258
|
article
|
| 84 |
Model-based design of the temperature controller of a shrink tunnel
|
Previtali, Davide
|
|
|
58 |
14 |
p. 49-54
|
article
|
| 85 |
Model-based dynamical voltage prediction of Zinc-Air cell for piecewise discharge currents
|
Pineda-Rodriguez, Juan Diego
|
|
|
58 |
14 |
p. 277-282
|
article
|
| 86 |
Model-based feedback control of filament geometry in extrusion-based additive manufacturing ⁎ ⁎ This work has been developed as part of the PRINTYOURFOOD project, which is financially supported by the NWO grant number 18763
|
Rojas, Carlos J.G.
|
|
|
58 |
14 |
p. 403-408
|
article
|
| 87 |
Model Discrepancy Learning for Heat Exchanger Networks ⁎ ⁎ This publication is part of an Institute for Sustainable Process Technology (ISPT) project: The Heat is On (THIO), and is executed with subsidy of Topsector Energy of the Dutch Ministry of Economic Affairs and Climate Policy, executed by the Netherlands Enterprise Agency (RVO). The specific subsidy for this project is MOOI-subsidy 2020.
|
Akan, M. Tolga
|
|
|
58 |
14 |
p. 271-276
|
article
|
| 88 |
Modeling, Control and Online Optimization of Microalgae-based Biomass Production in Raceway Reactors ⁎ ⁎ This work has been financed by the following projects: PID2020–112709RB-C21 project financed by the Spanish Ministry of Science and the Horizon Europe – the Framework Programme for Research and Innovation (2021–2027) under the agreement of grant no. 101060991 REALM.
|
Otalora, Pablo
|
|
|
58 |
14 |
p. 235-240
|
article
|
| 89 |
Model Predictive Control for Bottleneck Isolation with Unmeasured Faults
|
Turan, Evren Mert
|
|
|
58 |
14 |
p. 767-774
|
article
|
| 90 |
Model Predictive Control for Renal Anemia Treatment through Physics-informed Neural Network
|
Zhang, Zhongyu
|
|
|
58 |
14 |
p. 307-312
|
article
|
| 91 |
Model Predictive Control using Physics Informed Neural Networks for Process Systems
|
Patel, Rahul
|
|
|
58 |
14 |
p. 775-780
|
article
|
| 92 |
Model reduction for soil moisture and hydraulic parameter estimation using sequential triggers
|
Debnath, Sarupa
|
|
|
58 |
14 |
p. 163-168
|
article
|
| 93 |
Monitoring of product temperature and cycle duration in multi-vial lyophilization
|
Chia, A.
|
|
|
58 |
14 |
p. 198-203
|
article
|
| 94 |
Moving Horizon Estimator Design for a Nanoparticle Synthesis Batch Process ⁎ ⁎ The authors gratefully acknowledge the financial support of the Deutsche Forschungsgemeinschaft (DFG, German Resarch Foundation) in the individual grant SPP2364 - ref. 504545992.
|
Jiokeng Dongmo, Marcel Kévin
|
|
|
58 |
14 |
p. 342-347
|
article
|
| 95 |
MPC for simultaneous electrical and thermal flow optimization in buildings
|
Javan, Shahriar Dadras
|
|
|
58 |
14 |
p. 550-555
|
article
|
| 96 |
Multi-Loop PID Controller Design for PVA Degradation in a Tubular UV/H2O2 Photoreactor
|
Parsa, Zahra
|
|
|
58 |
14 |
p. 736-741
|
article
|
| 97 |
Multi-Operating Condition Time Series Anomaly Detection Based on Domain Adaptation
|
Yang, Xiaojun
|
|
|
58 |
14 |
p. 817-822
|
article
|
| 98 |
Multivariate singular spectrum analysis and detrended fluctuation analysis for plant-wide oscillations denoising
|
Bounoua, Wahiba
|
|
|
58 |
14 |
p. 676-681
|
article
|
| 99 |
New Adaptive ESO Based Data-Driven Anti-Disturbance Control for Nonlinear Systems with Convergence Guarantee ⁎ ⁎ This work is supported in part by the NSF China Grants 62173058 and 62327807, and the Fundamental Research Funds for the Central Universities of China (DUT22RC(3)020).
|
Hao, Shoulin
|
|
|
58 |
14 |
p. 397-402
|
article
|
| 100 |
Nonlinear Model Predictive Control of a Particulate Polysilicon Reactor System for Enhanced Solar Cell Production
|
Veloz, Carlos
|
|
|
58 |
14 |
p. 531-537
|
article
|
| 101 |
Nonlinear Model Predictive Control of Hydrocyclone Separation Efficiency ⁎ ⁎ The authors thank the support from the Danish Offshore Technology Centre (DOTC).
|
Jespersen, Stefan
|
|
|
58 |
14 |
p. 730-735
|
article
|
| 102 |
Novel distributed broad seasonal trend learning system for industrial soft sensing application
|
Wang, Peng-Fei
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58 |
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p. 97-102
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article
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| 103 |
Numerical Discretization Methods for Linear Quadratic Control Problems with Time Delays
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Zhang, Zhanhao
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58 |
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p. 874-880
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article
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| 104 |
On-Line Optimized Enzymatic Hydrolysis in a Continuous Stirred Tank Reactor by Extremum Seeking Control
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López-Caamal, Fernando
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58 |
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p. 855-859
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article
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| 105 |
Optimal control of photobioreactor accounting for photoinhibition and photoacclimation
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Fierro U, J. Ignacio
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58 |
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p. 157-162
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article
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| 106 |
Optimal design of sequential excitation for identification of multi-variable systems
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Lundh, Michael
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58 |
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p. 409-415
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article
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| 107 |
Optimal Flexible Operation of Electrified and Heat-Integrated Biodiesel Production
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El Wajeh, Mohammad
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58 |
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p. 513-518
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article
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| 108 |
Optimizing crude oil operations scheduling considering blending in tanks
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Garcia-Verdier, Tomas Garcia
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58 |
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p. 67-72
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article
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| 109 |
Optimizing GOR Prediction in Oil Wells: Efficacy of Convolutional Neural Networks with Hybrid Data Integration ⁎ ⁎ The authors acknowledge and thanks Cenpes/Petrobras, and CAPES-PrInt Grant 88887.717389/2022-00 for the financial support aswell as the brazilian agencies CNPq and CAPES that have partially funded the research under projects: CNPq 403949/2021-1, CNPq 406477/2022-1, CNPq 304032/2019-0 and CAPES/Print/Automação 4.0.
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de Amorim, Juan F.
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58 |
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p. 241-246
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article
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| 110 |
Performance-Based Plant-Model-Mismatch Detection in Soft-Sensor Control Loops
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Zhai, Xuanhui
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58 |
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p. 103-108
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article
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| 111 |
Physics-informed neural network uncertainty assessment through Bayesian inference.
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Costa, Erbet Almeida
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58 |
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p. 652-657
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article
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| 112 |
Piecewise Linear Plus Quadratic Surrogate Model for Real-Time Optimization ⁎ ⁎ We gratefully acknowledge financial support from National Natural Science Foundation of China with grant numbers 62120106003, 62173301 and China Scholarship Council with award number 202006320176.
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Zhang, Duo
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58 |
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p. 556-562
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article
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| 113 |
Population Balance Model-based Dynamic Multiobjective Optimization of Yeast Cell Manufacturing ⁎ ⁎ This work was supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, Department of Energy Computational Science Graduate Fellowship under Award Number DE-SC0022158.
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Ganko, Krystian
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58 |
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p. 860-867
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article
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| 114 |
Predicting nonlinear dynamics of a gas-lift oil production system through hybrid decomposition-recurrent neural networks models
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e Souza, Gustavo de O.
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58 |
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p. 440-445
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article
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| 115 |
Profit Considerations For Nonlinear Control-Integrated Cyberattack Detection On Process Actuators ⁎ ⁎ Financial support from the Air Force Office of Scientific Research award number FA9550-19-1-0059, National Science Foundation CBET-1839675, CNS-1932026, and CBET-2143469, and Wayne State University is gratefully acknowledged.
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Rangan, Keshav Kasturi
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58 |
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p. 592-597
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article
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| 116 |
Recursive Dynamic inner PrincipalComponent Analysis for Adaptive ProcessModeling ⁎ ⁎ This work was supported in part by the National Key Research and Development Program of China under Grant 2021YFA1003504; in part by the National Natural Science Foundation of China under Grant 22322816 and 61873102; in part by the CityU New Research Initiatives under Grant 9610640.
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Qu, Qilin
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58 |
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p. 682-687
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article
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| 117 |
Reduced order models of centrifugal pump for control applications: a comparison of Galerkin-projection and neural networks ⁎ ⁎ Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project-ID 422037413 – TRR 287. Supported by the Federal Ministry for Economic Affairs and Climate Action (BMWK) through the AiF (German Federation of Industrial Research Associations eV) based on a decision taken by the German Bundestag (IGF no. 20275 N).
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Mjalled, Ali
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58 |
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p. 289-294
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article
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| 118 |
Reliability-based Optimal Control of Crystallization Systems Under Uncertainty
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Barhate, Yash
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58 |
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p. 367-372
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article
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| 119 |
Reservoir computing-based slow feature analysis: Application in fault classification
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Memarian, Alireza
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58 |
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p. 452-457
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article
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| 120 |
Robust and Simple Output Predictive Control for HEV Energy Management ⁎ ⁎ This paper is obtained as a result of a grant project (JPNP21014) conducted by The Research association of Automotive Internal Combustion Engines (AICE) with support from the New Energy and Industrial Technology Development Organization (NEDO).
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Nozaki, R.
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58 |
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p. 488-493
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article
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| 121 |
Robust nonlinear model predictive control of continuous crystallization using Bayesian last layer surrogate models
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Johnson, Collin R.
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p. 476-481
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article
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| 122 |
Robust tube-based predictive control of continuous protein production by purple non-sulfur bacteria
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Nunes, Matheus C.R.
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58 |
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p. 724-729
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article
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| 123 |
Safety with Non-Deterministic Control Action Selection Using Quantum Devices ⁎ ⁎ Financial support from the Air Force Office of Scientific Research (award number FA9550-19-1-0059), the National Science Foundation (award numbers CNS-1932026, CBET-1839675, and CBET-2143469), and Wayne State University are gratefully acknowledged.
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Nieman, Kip
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58 |
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p. 664-669
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article
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| 124 |
Sampling Time Design with Misspecified Cramer-Rao Bounds under Input Uncertainty
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Wang, Ke
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58 |
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p. 622-627
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article
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| 125 |
Self-Optimizing Control for Recirculated Gas lifted Subsea Oil Well Production ⁎ ⁎ The authors gratefully acknowledge the financial support from SUBPRO, which is financed by the Research Council of Norway, major industry partners and NTNU.
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Dirza, Risvan
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58 |
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p. 494-499
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article
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| 126 |
Self-Stabilizing Economic Nonlinear Model Predictive Control for Membrane Reactors
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Dinh, San
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58 |
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p. 525-530
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article
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| 127 |
Semi-centralized Multi-agent RL for Irrigation Scheduling
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Agyeman, Bernard T.
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p. 145-150
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article
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| 128 |
Sensitivity-based Adaptive Sampling for Physics-Informed Neural Networks
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Chang, Shuji
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58 |
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p. 325-330
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article
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| 129 |
Simultaneous parameter estimation and state-estimator tuning for systems with nonstationary disturbances, multi-rate data and measurement delay
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Liu, Qiujun A.
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58 |
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p. 348-353
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article
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| 130 |
Slow-Varying Dynamics Supervised Data Decomposition for Batch Process Quality Prediction
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Qin, Yan
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p. 428-433
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article
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| 131 |
Smart Monitoring and Predictive Maintenance for an Offshore Natural Gas Dehydration Unit
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De Marco, Leonardo M.
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p. 55-60
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article
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| 132 |
Soil Moisture Estimation for Large-scale Agro-hydrological Systems with Model Mismatch
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Liu, Zhuangyu
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58 |
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p. 176-183
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article
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| 133 |
Solving for Exact Designs in Optimal Experiment Campaigns under Uncertainty ⁎ ⁎ This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 955520 (Digitalgaesation). KPK, CCP and BC gratefully acknowledge funding by Eli Lilly & Company through the Pharmaceutical Systems Engineering Lab (PharmaSEL) and by the Engineering and Physical Sciences Research Council (EPSRC) as part of its Prosperity Partnership Programme under grant EP/T518207/1.
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Sandrin, Marco
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58 |
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p. 658-663
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article
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| 134 |
Spatial State Profile Estimation in Tubular Reactor Systems in Presence of Bound Constraints
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Seth, Gaurav
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58 |
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p. 616-621
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article
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| 135 |
Stabilizing extremum seeking control applied to model-free bioprocess productivity optimization
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Dewasme, Laurent
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58 |
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p. 712-717
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article
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| 136 |
State estimation of a carbon capture process through POD model reduction and neural network approximation
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Liu, Siyu
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58 |
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p. 688-693
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article
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| 137 |
Study of the Application of Blender for Simulation of a Closed-loop Image-based Greenhouse Supplemental Lighting Control
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Nieman, Kip
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58 |
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p. 519-524
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article
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| 138 |
Superstructure Optimization of International Hydrogen Supply Chain with Technological Options
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Jung, Juyeong
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58 |
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p. 811-816
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article
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| 139 |
Systematic Selection of Constraints for a Novel Dynamic Flux Balance Model of Mammalian Cell Cultures
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Ghodba, A.
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58 |
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p. 384-389
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article
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| 140 |
TabNet-based Self-supervised Fault Diagnosis in Multivariate Time-series Process Data without Labels ⁎ ⁎ This work was financially supported by Samsung Electronics Co., Ltd.
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Roh, Hae Rang
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58 |
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p. 829-834
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article
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| 141 |
Thermodynamic model identification for a one-stage spray dryer
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Lepsien, A.
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58 |
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p. 228-234
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article
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| 142 |
Towards Constraint-Based Burden-Aware Models for Metabolic Engineering
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Maton, M.
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58 |
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p. 247-252
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article
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| 143 |
Towards non-invasive quality monitoring and control of stem cell-derived pancreatic islet manufacturing
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Singh, Rohan
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58 |
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p. 781-786
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article
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| 144 |
Towards Pilot-Scale Electric Arc Furnace Temperature Prediction & Bath Size Estimation with Long Short-Term Memory Networks
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Gareau-Lajoie, Antony
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58 |
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p. 265-270
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article
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| 145 |
Trajectory planning and tracking control for a one-stage spray dryer
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Lepsien, A.
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58 |
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p. 354-359
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article
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| 146 |
Tuning of Online Feedback Optimization for setpoint tracking in centrifugal compressors ⁎ ⁎ Research supported by Marie Curie Horizon Postdoctoral Fellowship project RELIC (grant no 101063948).
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Zagorowska, Marta
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58 |
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p. 881-886
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article
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| 147 |
Two-Stage Stochastic Scheduling of a Multiproduct Pipeline System using Similarity Index Decomposition
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Montes, Daniel
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58 |
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p. 43-48
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article
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| 148 |
Unstructured Dynamical Models for S. cerevisiae Cultures Fed With Glucose and Ammonium ⁎ ⁎ This research has been partially funded by the Wallonia Region (SPW Recherche) and supported by Wagralim, the agri-food innovation cluster in Wallonia Region, within the framework of the WA-SuNuP project.
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Huet, Antoine
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58 |
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p. 204-209
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article
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| 149 |
Utilizing Neural Networks for Image-based Model Predictive Controller of a batch Rotational Molding process
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Chandrasekar, Aswin
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58 |
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p. 470-475
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article
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