Journal of Process Control

Papers
(The TQCC of Journal of Process Control is 10. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Comparison of industrial controllers: Disturbance rejection in an up-and-running industrial flotation process180
Canonical correlation analysis-aided design of Kalman filter-based residual generator for monitoring of industrial control systems128
Editorial Board123
Editorial Board99
Robust closed-loop dynamic real-time optimization78
Wiener models robust identification of multi-rate process with time-varying delay using expectation-maximization algorithm76
Multi-objective optimal scheduling of laminar cooling water supply system for hot rolling mills driven by digital twin for energy-saving64
Align knowledge with time-series: Cross-modal domain knowledge activation for LLM-enabled zero-shot fault diagnosis61
Lightweight active just-in-time soft sensor model for real-time data streaming55
Study of parabolic trough collector with crucial analysis on controller and estimator with variable mirror efficiency50
Evaluating operator engagement with MPC using eye tracking in complex process environments48
Model predictive control of feed rate for stabilizing and enhancing biogas production in anaerobic digestion under meteorological fluctuations47
On the update of algebraic states during state estimation of differential–algebraic equation (DAE) systems43
Dynamic transfer partial least squares for domain adaptive regression43
A dynamic programming-inspired approach for Mixed Integer Optimal Control Problems with dwell time constraints42
Plantwide control design using latent variables: An integration between control allocation and a measurement combination approach39
FPGA-embedded optimization algorithm to maximize the acetate productivity in a dark fermentation process39
Big data-driven predictive control for nonlinear systems—A trajectory cluster-based contraction approach38
Quality-driven deep feature representation learning and its industrial application to soft sensors38
Novel adaptive fault detection method based on kernel entropy component analysis integrating moving window of dissimilarity for nonlinear dynamic processes36
Enhanced MPC based on unknown state estimation and control compensation33
Editorial Board33
Editorial Board32
Data-driven second-order iterative sliding mode control for cyber–physical systems under prescribed performance and DoS attacks30
Modeling proportional–integral controllers in tracking and economic model predictive control30
A scenario-based framework for the integration of scheduling and control under multiple uncertainties28
Simultaneous interval estimation of actuator fault and state for a class of nonlinear systems by zonotope analysis28
Adaptive temperature model for microalgae cultivation systems27
Robust MPC design for multi-model infinite-dimensional distributed parameter systems27
Model predictive control of pressure-swing distillation via closed-loop system identification26
A convex optimization approach to multi-objective design of two-stage compensators for MIMO linear systems26
Melt viscosity control in polymer extrusion using nonlinear model predictive control with neural state space modelling and soft sensor feedback26
A priority-aware sequential pattern mining method for detection of compact patterns from alarm floods26
An alternative method for estimating Hurst exponent of control signals based on system dynamics25
Optimal modeling of fermentation process using hybrid support vector regression25
Output consensus for interconnected systems via the internal model principle and a model predictive control based strategy25
A multi-model fault-tolerant control method for concurrent faults in wastewater treatment processes based on semi-supervised learning and physical constraints24
Fault detection and identification using a novel process decomposition algorithm for distributed process monitoring24
Ensemble Quality-Aware Slow Feature Analysis for decentralized dynamic process monitoring23
A deep learning method combining wavelet transform and transfer learning for lithium-ion battery state of health estimation23
A novel few-shot fault diagnosis model for addressing nonstationarity in the ironmaking process23
Improved operation of a large-scale blast furnace using a hybrid dynamic model based optimizing control scheme23
Self-tunable approximated explicit MPC: Heat exchanger implementation and analysis23
Temporal supervised generative adversarial functional causal model for root cause diagnosis22
Reducing false alarms in fault detection: A comparative analysis between conformal prediction and classical methods applied to PCA and autoencoders22
A decentralized operating performance assessment for geological drilling process via multi-block total projection to latent structures and Bayesian inference22
Harnessing monotonicity to design an adaptive PI passivity-based controller for a fuel-cell system22
Control-oriented modeling of a LiBr/H222
Optimal controlled variable switching for global self-optimizing control of active-set change processes21
A novel white component analysis for dynamic process monitoring21
Control of a complex multistep process for the production of mesalazine21
Editorial Board21
Exponential admissibility and control for singular LPV-PDE systems with application to chemical tubular reactor21
Enhanced predictive PDF control of stochastic distribution systems with neural network compensation and its application20
Memory-guided reconstruction for generalized zero-shot industrial fault diagnosis20
Federated knowledge amalgamation with unbiased semantic attributes under cloud–edge collaboration for heterogeneous fault diagnosis20
On optimal control of hybrid dynamical systems using complementarity constraints20
Capturing principal features in slow industrial processes for anomaly detection application20
Mutual information and attention-based variable selection for soft sensing of industrial processes20
Manifold-constrained trace ratio optimization for nonstationary process performance monitoring19
TFNet: Few-shot identification of LTI systems based on convolutional neural networks18
Dynamic fault detection and diagnosis for alkaline water electrolyzer with variational Bayesian Sparse principal component analysis18
Editorial Board18
Prior-informed adaptive multi-objective graph reinforcement learning for lysine fed-batch fermentation process18
Trajectory tracking of two-stage anaerobic digestion process: A predictive control with guaranteed performance and saturated input, based on ultra-local model18
Gaussian mixture continuously adaptive regression for multimode processes soft sensing under time-varying virtual drift18
Nonferrous metal price forecasting based on signal decomposition and ensemble learning18
Dynamic causal modeling for nonstationary industrial process performance degradation analysis and fault prognosis18
Charge process management of lithium-ion batteries based on digital twins: A new way to extend life17
Dynamic transfer soft sensor for concept drift adaptation17
Editorial Board17
Editorial Board17
Fault monitoring-oriented transition process identification of complex industrial processes with neighbor inconsistent pair-based attribute reduction17
Robust cooperative distributed MPC: A multi-model approach17
SEAG: A novel dynamic security risk assessment method for industrial control systems with consideration of social engineering16
Modeling and control of networked kinetic systems with delayed interconnections16
Multi-level data-predictive control for linear multi-timescale processes with stability guarantee16
Robust particle filter for state estimation in presence of bounded but uncertain parameters based on ellipsoidal set membership approach16
Autoregressive double latent variables probabilistic model for higher-order dynamic process monitoring16
Editorial Board16
Optimal control of viscous fingering16
Multi-scale Transformer-CNN domain adaptation network for complex processes fault diagnosis16
Prior model identification for stochastic optimal control of continuous aqueous two-phase flotation16
Image restoration and analysis with application to quality variable prediction in flotation process15
Economic model predictive control based on lattice trajectory piecewise linear model for wastewater treatment plants15
Optimization-based network partitioning for distributed and decentralized control15
On positive systems with multivariable positive control: Process stabilization15
Anomaly detection using case-based reasoning and representation learning: Application to industrial maintenance15
Efficient model predictive control of boiler coal combustion based on NARX neutral network15
Multi-objective optimization method for cement calcination system based on dual population differential evolution algorithm15
Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints15
Intelligent state estimation for fault tolerant integrated frequent RTO and adaptive nonlinear MPC15
Towards automated hazard analysis for CPS security with application to CSTR system15
Data-driven worst case model predictive control algorithm for propylene distillation column under uncertainty of top composition15
On Recurrent Neural Networks for learning-based control: Recent results and ideas for future developments14
Spatiotemporal-response-correlation-based model predictive control of heat conduction temperature field14
Predicting goal attainment in process-oriented behavioral interventions using a data-driven system identification approach14
Editorial Board14
Self-loop physics-informed neural network for model predictive control of PEM electrolyzers14
Capturing stirring–diffusion and product inhibition in fed-batch fermentation process: A distributed parameter modeling framework14
Condition-driven probabilistic adversarial autoencoder with nonlinear Gaussian feature learning for nonstationary process monitoring14
MPSS: A spatiotemporal-decoupled massively pretrained soft sensor for general industrial scenarios with heterogeneous data robustness14
Iterative learning hybrid robust predictive fault-tolerant control for nonlinear batch processes with partial actuator faults14
Adaptive fixed-time terminal sliding mode control of a Peltier cell fused with a fuzzy fixed-time perturbation estimator14
Prescribed performance based direct data-driven model predictive control for continuous stirred tank reactor14
Robust data-based predictive control of systems with parametric uncertainties: Paving the way for cooperative learning14
Comparison of multiple Kalman filter and moving horizon estimator for the anesthesia process13
Direct approaches for PDE-constrained dynamic optimization based on space–time orthogonal collocation on finite elements13
A tutorial overview of model predictive control for continuous crystallization: Current possibilities and future perspectives13
Deep learning-based model predictive control for real-time supply chain optimization13
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
Spectral radius-based interval principal component analysis (SR-IPCA) for fault detection in industrial processes with imprecise data13
Cross correlation-based blocking whitening slow feature analysis for coupled-data industrial process monitoring13
Robust state estimation of the anaerobic digestion process for municipal organic waste using an unscented Kalman filter13
Optimal production of microalgae in the presence of grazers13
A continuous-time LPV models for a biofiltration process in wastewater nitrification — A global approach methodology for parametric estimation13
Robust soft sensing with causal and injectivity-preserving Graph Neural Network13
Improving time series forecasting for extrusion process monitoring using a hybrid SARIMA & Random Forest model13
Operational adjustment modeling approach based on Bayesian network transfer learning for new flotation process under scarce data13
Robust identification of linear parameter-varying dual-rate system with non-stationary heavy-tailed noise12
Adaptive design of delay timers for non-stationary process variables based on change detection and Bayesian estimation12
Incipient fault detection and isolation for non-stationary processes with common trend analysis and statistical feature extraction12
A novel interactive prognosis framework with nonlinear Wiener process and multi-sensor fusion for remaining useful life prediction12
Editorial Board12
Nonlinear, robust, interval state estimation for distribution systems based on fixed-point expansion considering uncertainties12
Sensor network design for post-combustion CO212
Fuzzy advanced control: Boosting efficiency and economic benefits in offshore gas compression systems12
Corrigendum to “Study of parabolic trough collector with crucial analysis on controller and estimator with variable mirror efficiency” [J. Process Control 143 (2024) 103317]12
A parametric sensitivity method for Arrival Cost design in nonlinear Moving Horizon Estimation12
Modified active disturbance rejection control based on gain scheduling for circulating fluidized bed units12
Real-time physical activity detection module during sensor augmented insulin pump therapy12
Editorial Board11
Economic Oriented Dynamic Matrix Control of Wastewater Treatment Plants11
Transformed inputs for linearization, decoupling and feedforward control11
Nonlinear generalized predictive control with virtual unmodeled dynamics decomposition compensation and data driven11
Computationally efficient solution of mixed integer model predictive control problems via machine learning aided Benders Decomposition11
Low-carbon economic operation strategy for a multi-microgrid system considering internal carbon pricing and emission monitoring11
Interval estimation of sensor fault in rotary steerable drilling tools based on set-membership approach11
Editorial Board11
A two-dimensional model predictive iterative learning control based on the set point learning strategy for batch processes11
Editorial Board11
ECCBO: An inherently safe Bayesian optimization with embedded constraint control for real-time process optimization11
Slowness or Autocorrelation? A serial correlation feature analysis method and its application in process monitoring11
Geometric constructive network with block increments for lightweight data-driven industrial process modeling11
Perspectives on nonstationary process monitoring in the era of industrial artificial intelligence11
Editorial Board11
Nonintrusive parameter adaptation of chemical process models with reinforcement learning11
Fitting second-order cone constraints to microbial growth data11
Ratio control: Theoretical basis and practical implementation11
A physics-based multi-regime approach for estimation of head losses in operating hydropower plants11
Stability properties of the adaptive horizon multi-stage MPC11
Tractable global solutions to chance-constrained Bayesian optimal experiment design for arbitrary prior and noise distributions10
Robust multi-mode probabilistic slow feature analysis with application to fault detection10
Economic model predictive control for energy management of a microgrid connected to the main electrical grid10
Efficient adaptive deep gradient RBF network for multi-output nonlinear and nonstationary industrial processes10
Smart batch process: The evolution from 1D and 2D to new 3D perspectives in the era of Big Data10
A robust optimization approach for steeling-continuous casting charge batch planning with uncertain slab weight10
A model-based supersaturation estimator (inferential or soft-sensor) for industrial sugar crystallization process10
Enhancing hierarchical learning of real-time optimization and model predictive control for operational performance10
Closed-loop real-time optimization for unsteady operating production systems10
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
Multi time scale inception-time network for soft sensor of blast furnace ironmaking process10
Fault estimation and self-healing control of discrete-time T-S fuzzy model with sensor and actuator faults based on dual observers10
Just-in-time based soft sensors for process industries: A status report and recommendations10
IBLFs-based adaptive fuzzy control for Continuous Stirred Tank Reactors with full state constraints and actuator faults10
Gaussian mixture TimeVAE for industrial soft sensing with deep time series decomposition and generation10
Stiction parameter identification for pneumatic valves with a simultaneous approach10
A missing data imputation method for industrial soft sensor modeling10
SAFE-OCC: A novelty detection framework for Convolutional Neural Network sensors and its application in process control10
Mathematical model for optimal operation of an ex-situ hydrogenotrophic methanation bio-trickling filter reactor10
Concurrent analysis of static deviation and dynamic oscillation for momentum wheel bearing health monitoring and prognostication10
Tomography-assisted control for the microwave drying process of polymer foams10
Reinforcement learning based iterative learning control for nonlinear batch process with non-repetitive uncertainty via Koopman operator10
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