Journal of Process Control

Papers
(The median citation count of Journal of Process Control is 4. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-06-01 to 2025-06-01.)
ArticleCitations
Robust closed-loop dynamic real-time optimization123
Editorial Board84
Model predictive control of feed rate for stabilizing and enhancing biogas production in anaerobic digestion under meteorological fluctuations83
Dynamic optimization and nonlinear model predictive control of a semi-batch epoxidation process64
Multi-objective optimal scheduling of laminar cooling water supply system for hot rolling mills driven by digital twin for energy-saving59
Dynamic transfer partial least squares for domain adaptive regression57
Wiener models robust identification of multi-rate process with time-varying delay using expectation-maximization algorithm49
Study of parabolic trough collector with crucial analysis on controller and estimator with variable mirror efficiency46
Editorial Board43
Editorial Board42
Quality-driven deep feature representation learning and its industrial application to soft sensors41
Robust MPC design for multi-model infinite-dimensional distributed parameter systems40
A novel method for actuator fault detection considering complex operating processes39
A priority-aware sequential pattern mining method for detection of compact patterns from alarm floods38
A novel dynamic model for the online prediction of rate of penetration and its industrial application to a drilling process38
FPGA-embedded optimization algorithm to maximize the acetate productivity in a dark fermentation process36
A scenario-based framework for the integration of scheduling and control under multiple uncertainties36
Simultaneous interval estimation of actuator fault and state for a class of nonlinear systems by zonotope analysis36
A modified Bayesian network to handle cyclic loops in root cause diagnosis of process faults in the chemical process industry35
Modeling proportional–integral controllers in tracking and economic model predictive control34
Enhanced MPC based on unknown state estimation and control compensation34
Novel adaptive fault detection method based on kernel entropy component analysis integrating moving window of dissimilarity for nonlinear dynamic processes32
On the update of algebraic states during state estimation of differential–algebraic equation (DAE) systems32
State-of-charge dependent equivalent circuit model identification for batteries using sparse Gaussian process regression29
Data-driven second-order iterative sliding mode control for cyber–physical systems under prescribed performance and DoS attacks28
Adaptive temperature model for microalgae cultivation systems26
Plantwide control design using latent variables: An integration between control allocation and a measurement combination approach26
Fault detection and identification using a novel process decomposition algorithm for distributed process monitoring26
Ensemble Quality-Aware Slow Feature Analysis for decentralized dynamic process monitoring25
Real-time estimation of quality-related variable for dynamic and non-Gaussian process based on semisupervised Bayesian HMM24
Control-oriented modeling of a LiBr/H224
Koopman-based data-driven control for continuous fluidized bed spray granulation with screen-mill-cycle24
Self-tunable approximated explicit MPC: Heat exchanger implementation and analysis24
Improved operation of a large-scale blast furnace using a hybrid dynamic model based optimizing control scheme24
Online reinforcement learning for a continuous space system with experimental validation24
A convex optimization approach to multi-objective design of two-stage compensators for MIMO linear systems24
Improved event-triggered control for a chemical tubular reactor with singular perturbations23
A decentralized operating performance assessment for geological drilling process via multi-block total projection to latent structures and Bayesian inference23
Optimal modeling of fermentation process using hybrid support vector regression23
An alternative method for estimating Hurst exponent of control signals based on system dynamics23
Optimized control strategy based on EPCH and DBMP algorithms for quadruple-tank liquid level system22
Mutual information and attention-based variable selection for soft sensing of industrial processes22
Enhanced predictive PDF control of stochastic distribution systems with neural network compensation and its application22
Meticulous process monitoring with multiscale convolutional feature extraction22
A novel white component analysis for dynamic process monitoring22
Dynamic causal modeling for nonstationary industrial process performance degradation analysis and fault prognosis21
A method for detecting causal relationships between industrial alarm variables using Transfer Entropy and K2 algorithm21
Federated knowledge amalgamation with unbiased semantic attributes under cloud–edge collaboration for heterogeneous fault diagnosis21
Control of a complex multistep process for the production of mesalazine20
Fault detection and diagnosis of batch process dynamics using ARMA-based control charts20
Optimizing design for continuous conversion of glycerol to 1,3-propanediol using discrete-valued optimal control20
Data-driven offset-free multilinear model predictive control using constrained differential dynamic programming20
Editorial Board19
A multi-rate sampling data fusion method for fault diagnosis and its industrial applications19
Gaussian mixture continuously adaptive regression for multimode processes soft sensing under time-varying virtual drift19
Quantitative diagnosis method of the sucker rod pump system based on the fault mechanism and inversion algorithm19
Editorial Board19
Manifold-constrained trace ratio optimization for nonstationary process performance monitoring19
Editorial Board19
Editorial Board18
Multi-scale Transformer-CNN domain adaptation network for complex processes fault diagnosis18
Dynamic fault detection and diagnosis for alkaline water electrolyzer with variational Bayesian Sparse principal component analysis18
Design of delay timers based on estimated probability mass functions of alarm durations18
SEAG: A novel dynamic security risk assessment method for industrial control systems with consideration of social engineering18
Autoregressive double latent variables probabilistic model for higher-order dynamic process monitoring18
Fault monitoring-oriented transition process identification of complex industrial processes with neighbor inconsistent pair-based attribute reduction18
TFNet: Few-shot identification of LTI systems based on convolutional neural networks18
Dynamic transfer soft sensor for concept drift adaptation17
Trajectory tracking of two-stage anaerobic digestion process: A predictive control with guaranteed performance and saturated input, based on ultra-local model17
Robust particle filter for state estimation in presence of bounded but uncertain parameters based on ellipsoidal set membership approach17
Nonferrous metal price forecasting based on signal decomposition and ensemble learning17
Towards automated hazard analysis for CPS security with application to CSTR system17
Robust cooperative distributed MPC: A multi-model approach17
Optimal control of viscous fingering17
Data-driven worst case model predictive control algorithm for propylene distillation column under uncertainty of top composition16
Adaptive fixed-time terminal sliding mode control of a Peltier cell fused with a fuzzy fixed-time perturbation estimator16
Intelligent state estimation for fault tolerant integrated frequent RTO and adaptive nonlinear MPC16
Multi-level data-predictive control for linear multi-timescale processes with stability guarantee16
Optimization-based network partitioning for distributed and decentralized control16
Editorial Board16
Image restoration and analysis with application to quality variable prediction in flotation process16
Modeling and control of networked kinetic systems with delayed interconnections16
A predictive control based on decentralized fuzzy inference for a pH neutralization process16
Economic model predictive control based on lattice trajectory piecewise linear model for wastewater treatment plants16
Efficient model predictive control of boiler coal combustion based on NARX neutral network16
Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints15
Spatiotemporal-response-correlation-based model predictive control of heat conduction temperature field15
Operational adjustment modeling approach based on Bayesian network transfer learning for new flotation process under scarce data15
ILC-based two-layer strategy for economic performance improvement in industrial MPC systems15
Iterative learning hybrid robust predictive fault-tolerant control for nonlinear batch processes with partial actuator faults15
Predicting goal attainment in process-oriented behavioral interventions using a data-driven system identification approach15
Modified active disturbance rejection control based on gain scheduling for circulating fluidized bed units15
A continuous-time LPV models for a biofiltration process in wastewater nitrification — A global approach methodology for parametric estimation15
On positive systems with multivariable positive control: Process stabilization15
Editorial Board15
On Recurrent Neural Networks for learning-based control: Recent results and ideas for future developments15
Optimal production of microalgae in the presence of grazers15
Multivariate batch to batch optimisation of fermentation processes to improve productivity14
Condition-driven probabilistic adversarial autoencoder with nonlinear Gaussian feature learning for nonstationary process monitoring14
Multi-rate Gaussian Bayesian network soft sensor development with noisy input and missing data14
Comparison of multiple Kalman filter and moving horizon estimator for the anesthesia process14
Deep learning-based model predictive control for real-time supply chain optimization14
Robust data-based predictive control of systems with parametric uncertainties: Paving the way for cooperative learning14
A fast, fully distributed nonlinear model predictive control algorithm with parametric sensitivity through Jacobi iteration13
Extremum seeking control for optimization of an open-loop grinding mill using grind curves13
Control of cascaded series dead-time processes with ideal achievable disturbance attenuation using a predictors-based structure13
Robust state estimation of the anaerobic digestion process for municipal organic waste using an unscented Kalman filter13
Distributed process monitoring based on joint mutual information and projective dictionary pair learning13
Optimal output-feedback temperature regulation of a catalytic reverse flow reactor PDEs model13
Direct approaches for PDE-constrained dynamic optimization based on space–time orthogonal collocation on finite elements13
Spectral radius-based interval principal component analysis (SR-IPCA) for fault detection in industrial processes with imprecise data13
Distributed parameter modeling of fluid transmission lines12
Geometric constructive network with block increments for lightweight data-driven industrial process modeling12
Nonlinear, robust, interval state estimation for distribution systems based on fixed-point expansion considering uncertainties12
Low-carbon economic operation strategy for a multi-microgrid system considering internal carbon pricing and emission monitoring12
Adaptive design of delay timers for non-stationary process variables based on change detection and Bayesian estimation12
Interval estimation of sensor fault in rotary steerable drilling tools based on set-membership approach12
Fitting second-order cone constraints to microbial growth data12
Slowness or Autocorrelation? A serial correlation feature analysis method and its application in process monitoring12
On timeline of enhancing testing-capacity of COVID-19: A case study via an optimal replacement model12
Nonlinear generalized predictive control with virtual unmodeled dynamics decomposition compensation and data driven12
Nonintrusive parameter adaptation of chemical process models with reinforcement learning12
Lyapunov based on-line model reduction and control of semilinear dissipative distributed parameter systems with minimum feedback information12
Editorial Board12
Fault diagnosis based on feature clustering of time series data for loss and kick of drilling process12
Stability properties of the adaptive horizon multi-stage MPC12
A switched system formulation for optimal integration of scheduling and control in multi-product continuous processes12
Computationally efficient solution of mixed integer model predictive control problems via machine learning aided Benders Decomposition12
Editorial Board11
A novel interactive prognosis framework with nonlinear Wiener process and multi-sensor fusion for remaining useful life prediction11
Perspectives on nonstationary process monitoring in the era of industrial artificial intelligence11
Integrated spatiotemporal modeling and mixed-integer approximate dynamic programming for ASP flooding11
Novel hierarchical nonlinear control algorithm to improve dissolved oxygen control in biological WWTP11
Transformed inputs for linearization, decoupling and feedforward control11
Sensor network design for post-combustion CO211
A two-dimensional model predictive iterative learning control based on the set point learning strategy for batch processes11
A model-based supersaturation estimator (inferential or soft-sensor) for industrial sugar crystallization process10
A stable Lasso algorithm for inferential sensor structure learning and parameter estimation10
Reinforcement learning based iterative learning control for nonlinear batch process with non-repetitive uncertainty via Koopman operator10
A robust optimization approach for steeling-continuous casting charge batch planning with uncertain slab weight10
SAFE-OCC: A novelty detection framework for Convolutional Neural Network sensors and its application in process control10
Smart batch process: The evolution from 1D and 2D to new 3D perspectives in the era of Big Data10
IBLFs-based adaptive fuzzy control for Continuous Stirred Tank Reactors with full state constraints and actuator faults10
Discrepancy-based control of particle processes10
Efficient adaptive deep gradient RBF network for multi-output nonlinear and nonstationary industrial processes10
Stiction parameter identification for pneumatic valves with a simultaneous approach10
Closed-loop real-time optimization for unsteady operating production systems10
A predictor for dead-time systems based on the Kalman Filter for improved disturbance rejection and robustness10
Concurrent analysis of static deviation and dynamic oscillation for momentum wheel bearing health monitoring and prognostication10
Tractable global solutions to chance-constrained Bayesian optimal experiment design for arbitrary prior and noise distributions10
Fault estimation and self-healing control of discrete-time T-S fuzzy model with sensor and actuator faults based on dual observers10
Multi time scale inception-time network for soft sensor of blast furnace ironmaking process10
Data-driven inference of bioprocess models: A low-rank matrix approximation approach10
Data-driven identification and comparison of full multivariable models for propofol–remifentanil induced general anesthesia10
Synchronizing controller design for networked heat equations with boundary structured time-varying perturbations and general disturbances9
Comparing economic model predictive control to basic and advanced regulatory control on a simulated high-pressure grinding rolls, ball mill, and flotation circuit9
New inversion methods for the single/multi-shape CLD-to-PSD problem with spheroid particles9
Tomography-assisted control for the microwave drying process of polymer foams9
Just-in-time based soft sensors for process industries: A status report and recommendations9
Economic model predictive control for energy management of a microgrid connected to the main electrical grid9
A novel mass flow controller for tandem hot rolling mills9
A combined experimental-modeling approach for turbidity removal optimization in a coagulation–flocculation unit of a drinking water treatment plant9
Identification of errors-in-variables ARX model with time varying time delay9
Reconfiguration of flow-based networks with back-up components using robust economic MPC9
Finding trustworthy neighbors: Graph aided federated learning for few-shot industrial fault diagnosis with data heterogeneity9
Liquid level control in a recycle loop9
Gaussian mixture TimeVAE for industrial soft sensing with deep time series decomposition and generation9
Cascade multi-resonant disturbance observer design. Application to a distillation column9
Robust safe reinforcement learning control of unknown continuous-time nonlinear systems with state constraints and disturbances9
Monitoring the operating state of crystal growth process based on digital twin model9
Control of an anaerobic bioreactor using a fuzzy supervisory controller9
A multiple neural network and reinforcement learning-based strategy for process control9
Output feedback based robust iterative learning control via a heuristic approach for batch processes with time-varying state delays and uncertainties9
Model predictive coordinated cooperative control mechanism for multiagent systems based on priority negotiation9
Economic Oriented Dynamic Matrix Control of Wastewater Treatment Plants9
A survey and experimental study for embedding-aware generative models: Features, models, and any-shot scenarios9
Robust multi-mode probabilistic slow feature analysis with application to fault detection9
Experimental validation of passive and active fault-tolerant controls against sensor faults in a proton exchange membrane fuel cell system8
Enhancing BNN structure learning of hybrid modeling strategy for free formulated mechanism complex systems8
Pulsatile Zone MPC with asymmetric stationary cost for artificial pancreas based on a non-standard IOB constraint8
A practical physical watermarking approach to detect replay attacks in a CPS8
A low-cost pole-placement MPC algorithm for controlling complex dynamic systems8
Dynamic controlled variables based dynamic self-optimizing control8
Pruning graph convolutional network-based feature learning for fault diagnosis of industrial processes8
Assessment of alarm systems for mixture processes and intermittent faults8
Semi-supervised concept drift detection and adaptation based on conformal martingale framework8
Safe, visualizable reinforcement learning for process control with a warm-started actor network based on PI-control8
Pulp and paper characterization by means of artificial neural networks for effluent solid waste minimization—A case study8
Real-time monitoring of reaction mechanisms from spectroscopic data using hidden semi-Markov models for mode identification8
An interval multiobserver for nonlinear systems subject to internal and external disturbances: Real time experimental validation8
Structured fault information-aided canonical variate analysis model for dynamic process monitoring8
Data-driven two-dimensional integrated control for nonlinear batch processes8
A new Sliding Mode Control tuning approach for second-order inverse-response plus variable dead time processes8
Adaptive temperature control of a reverse flow process by using reinforcement learning approach8
Coal mill model considering heat transfer effect on mass equations with estimation of moisture8
Joint recurrence based root cause analysis of nonlinear multivariate chemical processes8
Robust coalitional model predictive control with negotiation of mutual interactions8
Off-policy reinforcement learning-based novel model-free minmax fault-tolerant tracking control for industrial processes8
Dynamic data reconciliation to enhance the performance of feedforward/feedback control systems with measurement noise7
Subspace identification of dynamic processes with consideration of time delays: A Bayesian optimization scheme7
A new class of fault detection and diagnosis methods by fusion of spatially distributed and time-dependent features7
Multi-source unsupervised soft sensor based on joint distribution alignment and mapping structure preservation7
Dynamic real-time optimization for nonlinear systems with Lyapunov stabilizing MPC7
Two-stage continuous biomethane production from enzymatic hydrolysate of agave bagasse: Modelling, identification and control7
Convex reformulations for self-optimizing control optimization problem: Linear Matrix Inequality approach7
Enhanced multicorrelation block process monitoring and abnormity root cause analysis for distributed industrial process: A visual data-driven approach7
Fault-tolerant safe control for water networks: A backstepping neural control barrier function approach7
A fault-injection-based approach to leak localization in water distribution networks using an ensemble model of Bayesian classifiers7
Geometrical analysis of consecutive dynamic behaviors in process monitoring7
Identifiable prediction animal model for the bi-hormonal intraperitoneal artificial pancreas7
Time delay and model parameter estimation for nonlinear system with simultaneous approach7
Mixed logical dynamical (MLD)-based Kalman filter for hybrid systems fault diagnosis7
Physics-informed recurrent neural network modeling for predictive control of nonlinear processes7
Improved fault detection based on kernel PCA for monitoring industrial applications7
Active nonstationary variables selection based just-in-time co-integration analysis and slow feature analysis monitoring approach for dynamic processes7
Global self-optimizing control of batch processes7
Automated search of process control limits for fault detection in time series data7
A stochastic approach for the solution of single and multi–objective optimisation problems of biological processes in sequencing batch reactor7
Virtual unmodeled dynamic and data-driven nonlinear robust predictive control7
Respiration rate estimation using non-linear observers in application to wastewater treatment plant7
Multi-model adaptive switching control of a nonlinear system and its applications in a smelting process of fused magnesia7
Extremum seeking control and gradient estimation based on the Super-Twisting algorithm7
Multi-furnace optimization in silicon single crystal production plants by power load scheduling7
Design and repetitive control of a self-cycling ethanol fermentation bioreactor for ethanol production7
Subspace identification of Hammerstein models with interval uncertainties7
Self-tuning kernel Gaussian method for predictive control systems7
Temperature control system based on Active Disturbance Rejection Control and its parameter optimization in large-sized monolithic silicon epitaxy equipment reactor7
Simultaneous and sequential state and parameter estimation using receding-horizon nonlinear Kalman filter7
Saturated output-feedback control and state estimation of a class of exothermic tubular reactors7
Novel complex-valued long short-term memory network integrating variational mode decomposition for soft sensor7
Enhanced pressure control system for the vacuum vessel of Damavand Tokamak using PID and multiple model control7
Early lumping observer design and sensor placement for transport-reaction systems7
Selecting model features that lead to linear models of bi-product distillation towers7
Observability analysis and robust observer design for a continuous yeast culture6
Improved similarity analysis of industrial alarm flood sequences by considering alarm correlations6
Editorial Board6
Editorial Board6
Optimal switching of MPC cost function for changing active constraints6
Smart greenhouse control under harsh climate conditions based on data-driven robust model predictive control with principal component analysis and kernel density estimation6
Stacked supervised auto-encoder with graph regularization for feature extraction and fault classification in chemical processes6
Optimal regimes of heavy oil transportation through a heated pipeline6
Recognition of flotation froth conditions with k-shot learning and convolutional neural networks6
Satisficing Infinite-Horizon Model Predictive Control6
Enhanced robust multimode process monitoring under dirty data via difference-based decomposition of matrix6
Integrating online mineral liberation data into process control and optimisation systems for grinding–separation plants6
Terminal set-based cyberattack detection in model predictive control systems with zero false alarms6
Streaming variational probabilistic principal component analysis for monitoring of nonstationary process6
Dynamic controlled pattern extraction and pattern-based model predictive control6
Extremum seeking controller tuning for heat pump optimization using failure-robust Bayesian optimization6
Process modeling by integrating quantitative and qualitative information using a deep embedding network and its application to an extrusion process6
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