Journal of Process Control

Article	Citations
Comparison of industrial controllers: Disturbance rejection in an up-and-running industrial flotation process	185
Canonical correlation analysis-aided design of Kalman filter-based residual generator for monitoring of industrial control systems	132
Editorial Board	123
Editorial Board	100
Robust closed-loop dynamic real-time optimization	82
Wiener models robust identification of multi-rate process with time-varying delay using expectation-maximization algorithm	77
Multi-objective optimal scheduling of laminar cooling water supply system for hot rolling mills driven by digital twin for energy-saving	69
Align knowledge with time-series: Cross-modal domain knowledge activation for LLM-enabled zero-shot fault diagnosis	53
Efficient data-driven modeling and multi-objective optimization of batch crystallization processes using integrated neural network	49
Event-triggered data-driven robust adaptive predictive control for the Czochralski silicon single crystal growth process	49
Evaluating operator engagement with MPC using eye tracking in complex process environments	44
Study of parabolic trough collector with crucial analysis on controller and estimator with variable mirror efficiency	43
Model predictive control of feed rate for stabilizing and enhancing biogas production in anaerobic digestion under meteorological fluctuations	43
Dynamic transfer partial least squares for domain adaptive regression	42
Lightweight active just-in-time soft sensor model for real-time data streaming	41
On the update of algebraic states during state estimation of differential–algebraic equation (DAE) systems	40
A dynamic programming-inspired approach for Mixed Integer Optimal Control Problems with dwell time constraints	39
Plantwide control design using latent variables: An integration between control allocation and a measurement combination approach	37
Big data-driven predictive control for nonlinear systems—A trajectory cluster-based contraction approach	35
Melt viscosity control in polymer extrusion using nonlinear model predictive control with neural state space modelling and soft sensor feedback	33
Enhanced MPC based on unknown state estimation and control compensation	33
Editorial Board	33
Editorial Board	31
Modeling proportional–integral controllers in tracking and economic model predictive control	30
Model predictive control of pressure-swing distillation via closed-loop system identification	29

Quality-driven deep feature representation learning and its industrial application to soft sensors	28
FPGA-embedded optimization algorithm to maximize the acetate productivity in a dark fermentation process	28
Simultaneous interval estimation of actuator fault and state for a class of nonlinear systems by zonotope analysis	27
Adaptive temperature model for microalgae cultivation systems	26
A priority-aware sequential pattern mining method for detection of compact patterns from alarm floods	26
Data-driven second-order iterative sliding mode control for cyber–physical systems under prescribed performance and DoS attacks	26
Novel adaptive fault detection method based on kernel entropy component analysis integrating moving window of dissimilarity for nonlinear dynamic processes	26
A scenario-based framework for the integration of scheduling and control under multiple uncertainties	25
A convex optimization approach to multi-objective design of two-stage compensators for MIMO linear systems	25
Robust MPC design for multi-model infinite-dimensional distributed parameter systems	25
Fault detection and identification using a novel process decomposition algorithm for distributed process monitoring	24
Harnessing monotonicity to design an adaptive PI passivity-based controller for a fuel-cell system	24
A multi-model fault-tolerant control method for concurrent faults in wastewater treatment processes based on semi-supervised learning and physical constraints	23
Control-oriented modeling of a LiBr/H2	23
Output consensus for interconnected systems via the internal model principle and a model predictive control based strategy	23
A decentralized operating performance assessment for geological drilling process via multi-block total projection to latent structures and Bayesian inference	23
A novel few-shot fault diagnosis model for addressing nonstationarity in the ironmaking process	23
Improved operation of a large-scale blast furnace using a hybrid dynamic model based optimizing control scheme	22
A deep learning method combining wavelet transform and transfer learning for lithium-ion battery state of health estimation	22
Self-tunable approximated explicit MPC: Heat exchanger implementation and analysis	22
Temporal supervised generative adversarial functional causal model for root cause diagnosis	22
Ensemble Quality-Aware Slow Feature Analysis for decentralized dynamic process monitoring	21
Reducing false alarms in fault detection: A comparative analysis between conformal prediction and classical methods applied to PCA and autoencoders	21
Optimal modeling of fermentation process using hybrid support vector regression	21
Editorial Board	21
A novel white component analysis for dynamic process monitoring	21
An alternative method for estimating Hurst exponent of control signals based on system dynamics	21
Enhanced predictive PDF control of stochastic distribution systems with neural network compensation and its application	20
Manifold-constrained trace ratio optimization for nonstationary process performance monitoring	20
On optimal control of hybrid dynamical systems using complementarity constraints	20
Control of a complex multistep process for the production of mesalazine	20
Memory-guided reconstruction for generalized zero-shot industrial fault diagnosis	20
Exponential admissibility and control for singular LPV-PDE systems with application to chemical tubular reactor	20
Dynamic causal modeling for nonstationary industrial process performance degradation analysis and fault prognosis	19
Editorial Board	18
Gaussian mixture continuously adaptive regression for multimode processes soft sensing under time-varying virtual drift	18
Optimal controlled variable switching for global self-optimizing control of active-set change processes	18
Federated knowledge amalgamation with unbiased semantic attributes under cloud–edge collaboration for heterogeneous fault diagnosis	18
Mutual information and attention-based variable selection for soft sensing of industrial processes	18
Capturing principal features in slow industrial processes for anomaly detection application	18
Editorial Board	17
Prior-informed adaptive multi-objective graph reinforcement learning for lysine fed-batch fermentation process	17
Editorial Board	17
Charge process management of lithium-ion batteries based on digital twins: A new way to extend life	17
Nonferrous metal price forecasting based on signal decomposition and ensemble learning	17
TFNet: Few-shot identification of LTI systems based on convolutional neural networks	17
Trajectory tracking of two-stage anaerobic digestion process: A predictive control with guaranteed performance and saturated input, based on ultra-local model	17
Dynamic transfer soft sensor for concept drift adaptation	17
Dynamic fault detection and diagnosis for alkaline water electrolyzer with variational Bayesian Sparse principal component analysis	17
Optimal control of viscous fingering	17

Robust cooperative distributed MPC: A multi-model approach	16
Robust particle filter for state estimation in presence of bounded but uncertain parameters based on ellipsoidal set membership approach	16
Prior model identification for stochastic optimal control of continuous aqueous two-phase flotation	16
SEAG: A novel dynamic security risk assessment method for industrial control systems with consideration of social engineering	16
Editorial Board	16
Multi-scale Transformer-CNN domain adaptation network for complex processes fault diagnosis	16
Fault monitoring-oriented transition process identification of complex industrial processes with neighbor inconsistent pair-based attribute reduction	16
Autoregressive double latent variables probabilistic model for higher-order dynamic process monitoring	16
Multi-level data-predictive control for linear multi-timescale processes with stability guarantee	16
Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints	15
Data-driven worst case model predictive control algorithm for propylene distillation column under uncertainty of top composition	15
Intelligent state estimation for fault tolerant integrated frequent RTO and adaptive nonlinear MPC	15
Self-loop physics-informed neural network for model predictive control of PEM electrolyzers	15
On positive systems with multivariable positive control: Process stabilization	15
Economic model predictive control based on lattice trajectory piecewise linear model for wastewater treatment plants	15
Multi-objective optimization method for cement calcination system based on dual population differential evolution algorithm	15
Towards automated hazard analysis for CPS security with application to CSTR system	15
Adaptive fixed-time terminal sliding mode control of a Peltier cell fused with a fuzzy fixed-time perturbation estimator	15
Efficient model predictive control of boiler coal combustion based on NARX neutral network	15
Optimization-based network partitioning for distributed and decentralized control	15
Modeling and control of networked kinetic systems with delayed interconnections	14
Iterative learning hybrid robust predictive fault-tolerant control for nonlinear batch processes with partial actuator faults	14
Editorial Board	14
Direct approaches for PDE-constrained dynamic optimization based on space–time orthogonal collocation on finite elements	14
Anomaly detection using case-based reasoning and representation learning: Application to industrial maintenance	14
Spatiotemporal-response-correlation-based model predictive control of heat conduction temperature field	14
Predicting goal attainment in process-oriented behavioral interventions using a data-driven system identification approach	14
On Recurrent Neural Networks for learning-based control: Recent results and ideas for future developments	14
Image restoration and analysis with application to quality variable prediction in flotation process	14
Optimal production of microalgae in the presence of grazers	14
Capturing stirring–diffusion and product inhibition in fed-batch fermentation process: A distributed parameter modeling framework	14
Cross correlation-based blocking whitening slow feature analysis for coupled-data industrial process monitoring	13
Condition-driven probabilistic adversarial autoencoder with nonlinear Gaussian feature learning for nonstationary process monitoring	13
Extremum seeking control for optimization of an open-loop grinding mill using grind curves	13
Robust soft sensing with causal and injectivity-preserving Graph Neural Network	13
Operational adjustment modeling approach based on Bayesian network transfer learning for new flotation process under scarce data	13
Improving time series forecasting for extrusion process monitoring using a hybrid SARIMA & Random Forest model	13
A tutorial overview of model predictive control for continuous crystallization: Current possibilities and future perspectives	13
A continuous-time LPV models for a biofiltration process in wastewater nitrification — A global approach methodology for parametric estimation	13
Prescribed performance based direct data-driven model predictive control for continuous stirred tank reactor	13
Spectral radius-based interval principal component analysis (SR-IPCA) for fault detection in industrial processes with imprecise data	13
Deep learning-based model predictive control for real-time supply chain optimization	13
Comparison of multiple Kalman filter and moving horizon estimator for the anesthesia process	13
Robust data-based predictive control of systems with parametric uncertainties: Paving the way for cooperative learning	13
Control of cascaded series dead-time processes with ideal achievable disturbance attenuation using a predictors-based structure	13
Geometric constructive network with block increments for lightweight data-driven industrial process modeling	12
MPSS: A spatiotemporal-decoupled massively pretrained soft sensor for general industrial scenarios with heterogeneous data robustness	12
Nonlinear generalized predictive control with virtual unmodeled dynamics decomposition compensation and data driven	12
A physics-based multi-regime approach for estimation of head losses in operating hydropower plants	12
Low-carbon economic operation strategy for a multi-microgrid system considering internal carbon pricing and emission monitoring	12
Stability properties of the adaptive horizon multi-stage MPC	12
A parametric sensitivity method for Arrival Cost design in nonlinear Moving Horizon Estimation	12
Modified active disturbance rejection control based on gain scheduling for circulating fluidized bed units	12
Robust identification of linear parameter-varying dual-rate system with non-stationary heavy-tailed noise	12
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
Fitting second-order cone constraints to microbial growth data	12
Adaptive design of delay timers for non-stationary process variables based on change detection and Bayesian estimation	12
Editorial Board	12
Nonlinear, robust, interval state estimation for distribution systems based on fixed-point expansion considering uncertainties	12
Editorial Board	12
Robust state estimation of the anaerobic digestion process for municipal organic waste using an unscented Kalman filter	12
ECCBO: An inherently safe Bayesian optimization with embedded constraint control for real-time process optimization	12
Nonintrusive parameter adaptation of chemical process models with reinforcement learning	12
Editorial Board	11
Tractable global solutions to chance-constrained Bayesian optimal experiment design for arbitrary prior and noise distributions	11
Fuzzy advanced control: Boosting efficiency and economic benefits in offshore gas compression systems	11
Sensor network design for post-combustion CO2	11
A novel interactive prognosis framework with nonlinear Wiener process and multi-sensor fusion for remaining useful life prediction	11
Perspectives on nonstationary process monitoring in the era of industrial artificial intelligence	11
Editorial Board	11
Data-driven inference of bioprocess models: A low-rank matrix approximation approach	11
Slowness or Autocorrelation? A serial correlation feature analysis method and its application in process monitoring	11
A two-dimensional model predictive iterative learning control based on the set point learning strategy for batch processes	11
Transformed inputs for linearization, decoupling and feedforward control	11
Interval estimation of sensor fault in rotary steerable drilling tools based on set-membership approach	11
Editorial Board	11
Economic Oriented Dynamic Matrix Control of Wastewater Treatment Plants	11
Incipient fault detection and isolation for non-stationary processes with common trend analysis and statistical feature extraction	11
Ratio control: Theoretical basis and practical implementation	11
Real-time physical activity detection module during sensor augmented insulin pump therapy	11

Computationally efficient solution of mixed integer model predictive control problems via machine learning aided Benders Decomposition	11
A missing data imputation method for industrial soft sensor modeling	10
Tomography-assisted control for the microwave drying process of polymer foams	10
Reinforcement learning based iterative learning control for nonlinear batch process with non-repetitive uncertainty via Koopman operator	10
Efficient adaptive deep gradient RBF network for multi-output nonlinear and nonstationary industrial processes	10
Multi time scale inception-time network for soft sensor of blast furnace ironmaking process	10
SAFE-OCC: A novelty detection framework for Convolutional Neural Network sensors and its application in process control	10
Concurrent analysis of static deviation and dynamic oscillation for momentum wheel bearing health monitoring and prognostication	10
Gaussian mixture TimeVAE for industrial soft sensing with deep time series decomposition and generation	10
Enhancing hierarchical learning of real-time optimization and model predictive control for operational performance	10
Smart batch process: The evolution from 1D and 2D to new 3D perspectives in the era of Big Data	10
A robust optimization approach for steeling-continuous casting charge batch planning with uncertain slab weight	10
Mathematical model for optimal operation of an ex-situ hydrogenotrophic methanation bio-trickling filter reactor	10
Stiction parameter identification for pneumatic valves with a simultaneous approach	10
A model-based supersaturation estimator (inferential or soft-sensor) for industrial sugar crystallization process	10
Economic model predictive control for energy management of a microgrid connected to the main electrical grid	10
IBLFs-based adaptive fuzzy control for Continuous Stirred Tank Reactors with full state constraints and actuator faults	10
Robust multi-mode probabilistic slow feature analysis with application to fault detection	10
Just-in-time based soft sensors for process industries: A status report and recommendations	10
Fault estimation and self-healing control of discrete-time T-S fuzzy model with sensor and actuator faults based on dual observers	10
Data-driven identification and comparison of full multivariable models for propofol–remifentanil induced general anesthesia	10
The landscape of IEC 61499 in modern automation: A scoping review of research trends and gaps (2018–2025)	9
Data-driven Koopman MPC using mixed stochastic–deterministic tubes	9
Comparing economic model predictive control to basic and advanced regulatory control on a simulated high-pressure grinding rolls, ball mill, and flotation circuit	9
Robust safe reinforcement learning control of unknown continuous-time nonlinear systems with state constraints and disturbances	9
Monitoring the operating state of crystal growth process based on digital twin model	9
Finding trustworthy neighbors: Graph aided federated learning for few-shot industrial fault diagnosis with data heterogeneity	9
A combined experimental-modeling approach for turbidity removal optimization in a coagulation–flocculation unit of a drinking water treatment plant	9
An incremental physics-informed neural network for rapid prediction of suspended sediment plume for deep-sea mining	9
Experimental validation of passive and active fault-tolerant controls against sensor faults in a proton exchange membrane fuel cell system	9
Nonlinear model predictive control with an infinite horizon approximation	9
Cascade multi-resonant disturbance observer design. Application to a distillation column	9
Reconfiguration of flow-based networks with back-up components using robust economic MPC	9
A multiple neural network and reinforcement learning-based strategy for process control	9
A survey and experimental study for embedding-aware generative models: Features, models, and any-shot scenarios	9
Closed-loop control framework for optimal startup of cryogenic air separation units	9
Comparative study of Bayesian Network-based root cause analysis methods for chemical and bioprocess systems	9
Real-time identification of most critical alarms for alarm flood reduction	9
Safe, visualizable reinforcement learning for process control with a warm-started actor network based on PI-control	9
Towards hybrid modeling with mechanistic and real-time data embed iterative co-optimization for industrial processes	9
Output feedback based robust iterative learning control via a heuristic approach for batch processes with time-varying state delays and uncertainties	9
Deep learning-based model predictive control with exponential weighting strategy and its application in energy management systems	9
Model predictive coordinated cooperative control mechanism for multiagent systems based on priority negotiation	9
Adaptive temperature control of a reverse flow process by using reinforcement learning approach	9
Sensor fault characteristics and fault detection in wastewater treatment plants: Current status and trend analysis	8
Subspace identification of Hammerstein models with interval uncertainties	8
Multi-furnace optimization in silicon single crystal production plants by power load scheduling	8
Structured fault information-aided canonical variate analysis model for dynamic process monitoring	8
Enhancing BNN structure learning of hybrid modeling strategy for free formulated mechanism complex systems	8
Off-policy reinforcement learning-based novel model-free minmax fault-tolerant tracking control for industrial processes	8
Pulsatile Zone MPC with asymmetric stationary cost for artificial pancreas based on a non-standard IOB constraint	8
Identification of errors-in-variables ARX model with time varying time delay	8
Robust coalitional model predictive control with negotiation of mutual interactions	8
An interval multiobserver for nonlinear systems subject to internal and external disturbances: Real time experimental validation	8
A practical physical watermarking approach to detect replay attacks in a CPS	8
Editorial Board	8
Self-tuning kernel Gaussian method for predictive control systems	8
Assessment of alarm systems for mixture processes and intermittent faults	8
Federated learning-based distributed model predictive control	8
Semi-supervised concept drift detection and adaptation based on conformal martingale framework	8
An explicit model predictive control framework based on physics-informed neural networks	8
Real-time monitoring of reaction mechanisms from spectroscopic data using hidden semi-Markov models for mode identification	8
Subspace identification of dynamic processes with consideration of time delays: A Bayesian optimization scheme	8
Improved fault detection based on kernel PCA for monitoring industrial applications	8
Mixed logical dynamical (MLD)-based Kalman filter for hybrid systems fault diagnosis	8
Zero-shot fault diagnosis for gas turbines via alignment of generated semantic samples and data features	8
Physics-informed recurrent neural network modeling for predictive control of nonlinear processes	8
Dynamic controlled variables based dynamic self-optimizing control	8
Data-driven two-dimensional integrated control for nonlinear batch processes	8
A new Sliding Mode Control tuning approach for second-order inverse-response plus variable dead time processes	8
Dynamic real-time optimization for nonlinear systems with Lyapunov stabilizing MPC	7
Geometrical analysis of consecutive dynamic behaviors in process monitoring	7
Active nonstationary variables selection based just-in-time co-integration analysis and slow feature analysis monitoring approach for dynamic processes	7
A fault-injection-based approach to leak localization in water distribution networks using an ensemble model of Bayesian classifiers	7
Convex reformulations for self-optimizing control optimization problem: Linear Matrix Inequality approach	7
Identifiable prediction animal model for the bi-hormonal intraperitoneal artificial pancreas	7
Automated search of process control limits for fault detection in time series data	7
A stochastic approach for the solution of single and multi–objective optimisation problems of biological processes in sequencing batch reactor	7
Time delay and model parameter estimation for nonlinear system with simultaneous approach	7
Adaptive ensemble reinforcement learning for industrial process control	7
Multi-model adaptive switching control of a nonlinear system and its applications in a smelting process of fused magnesia	7
Performance grade similarity-based generalized zero-shot operating performance assessment of industrial processes with insufficient samples	7
Fault-tolerant safe control for water networks: A backstepping neural control barrier function approach	7
Enhanced multicorrelation block process monitoring and abnormity root cause analysis for distributed industrial process: A visual data-driven approach	7
Operational zone-specific univariate alarm design for incipient faults	7
Virtual unmodeled dynamic and data-driven nonlinear robust predictive control	7
Graph-regularized data-driven control: Simultaneous optimization across multiple operating conditions	7
Selecting model features that lead to linear models of bi-product distillation towers	7
Temperature control system based on Active Disturbance Rejection Control and its parameter optimization in large-sized monolithic silicon epitaxy equipment reactor	7
Enhanced pressure control system for the vacuum vessel of Damavand Tokamak using PID and multiple model control	7
A cloud–edge collaborative hierarchical diagnosis framework for key performance indicator-related faults in manufacturing industries	7
Learning of model-plant mismatch map via neural network modeling and its application to offset-free model predictive control	7
A knowledge transfer-based intelligent decision support method for fault management	7
Global self-optimizing control of batch processes	7
Design and repetitive control of a self-cycling ethanol fermentation bioreactor for ethanol production	7