Journal of Process Control

Article	Citations
Editorial Board	138
Model predictive control of feed rate for stabilizing and enhancing biogas production in anaerobic digestion under meteorological fluctuations	94
Dynamic optimization and nonlinear model predictive control of a semi-batch epoxidation process	88
Comparison of industrial controllers: Disturbance rejection in an up-and-running industrial flotation process	77
Study of parabolic trough collector with crucial analysis on controller and estimator with variable mirror efficiency	62
Wiener models robust identification of multi-rate process with time-varying delay using expectation-maximization algorithm	53
Dynamic transfer partial least squares for domain adaptive regression	47
Multi-objective optimal scheduling of laminar cooling water supply system for hot rolling mills driven by digital twin for energy-saving	46
Robust closed-loop dynamic real-time optimization	46
Editorial Board	44
Editorial Board	44
Robust MPC design for multi-model infinite-dimensional distributed parameter systems	43
A novel method for actuator fault detection considering complex operating processes	41
Plantwide control design using latent variables: An integration between control allocation and a measurement combination approach	38
Simultaneous interval estimation of actuator fault and state for a class of nonlinear systems by zonotope analysis	38
A modified Bayesian network to handle cyclic loops in root cause diagnosis of process faults in the chemical process industry	38
FPGA-embedded optimization algorithm to maximize the acetate productivity in a dark fermentation process	37
A scenario-based framework for the integration of scheduling and control under multiple uncertainties	37
Adaptive temperature model for microalgae cultivation systems	36
On the update of algebraic states during state estimation of differential–algebraic equation (DAE) systems	35
State-of-charge dependent equivalent circuit model identification for batteries using sparse Gaussian process regression	33
Modeling proportional–integral controllers in tracking and economic model predictive control	31
Data-driven second-order iterative sliding mode control for cyber–physical systems under prescribed performance and DoS attacks	31
Big data-driven predictive control for nonlinear systems—A trajectory cluster-based contraction approach	30
Novel adaptive fault detection method based on kernel entropy component analysis integrating moving window of dissimilarity for nonlinear dynamic processes	28

A priority-aware sequential pattern mining method for detection of compact patterns from alarm floods	27
A novel dynamic model for the online prediction of rate of penetration and its industrial application to a drilling process	27
Quality-driven deep feature representation learning and its industrial application to soft sensors	27
Fault detection and identification using a novel process decomposition algorithm for distributed process monitoring	26
Ensemble Quality-Aware Slow Feature Analysis for decentralized dynamic process monitoring	26
Improved operation of a large-scale blast furnace using a hybrid dynamic model based optimizing control scheme	26
Improved event-triggered control for a chemical tubular reactor with singular perturbations	26
Enhanced MPC based on unknown state estimation and control compensation	26
Online reinforcement learning for a continuous space system with experimental validation	26
Self-tunable approximated explicit MPC: Heat exchanger implementation and analysis	25
A convex optimization approach to multi-objective design of two-stage compensators for MIMO linear systems	25
Control-oriented modeling of a LiBr/H2	25
An alternative method for estimating Hurst exponent of control signals based on system dynamics	24
Reducing false alarms in fault detection: A comparative analysis between conformal prediction and classical methods applied to PCA and autoencoders	24
Optimal modeling of fermentation process using hybrid support vector regression	24
A decentralized operating performance assessment for geological drilling process via multi-block total projection to latent structures and Bayesian inference	24
A novel few-shot fault diagnosis model for addressing nonstationarity in the ironmaking process	23
Real-time estimation of quality-related variable for dynamic and non-Gaussian process based on semisupervised Bayesian HMM	22
Mutual information and attention-based variable selection for soft sensing of industrial processes	22
A novel white component analysis for dynamic process monitoring	21
Data-driven offset-free multilinear model predictive control using constrained differential dynamic programming	21
Control of a complex multistep process for the production of mesalazine	21
Optimizing design for continuous conversion of glycerol to 1,3-propanediol using discrete-valued optimal control	21
Editorial Board	21
Optimized control strategy based on EPCH and DBMP algorithms for quadruple-tank liquid level system	21
Manifold-constrained trace ratio optimization for nonstationary process performance monitoring	20
Quantitative diagnosis method of the sucker rod pump system based on the fault mechanism and inversion algorithm	20
Gaussian mixture continuously adaptive regression for multimode processes soft sensing under time-varying virtual drift	20
Dynamic causal modeling for nonstationary industrial process performance degradation analysis and fault prognosis	20
Trajectory tracking of two-stage anaerobic digestion process: A predictive control with guaranteed performance and saturated input, based on ultra-local model	19
A multi-rate sampling data fusion method for fault diagnosis and its industrial applications	19
Meticulous process monitoring with multiscale convolutional feature extraction	19
Editorial Board	19
A method for detecting causal relationships between industrial alarm variables using Transfer Entropy and K2 algorithm	19
Fault detection and diagnosis of batch process dynamics using ARMA-based control charts	19
Federated knowledge amalgamation with unbiased semantic attributes under cloud–edge collaboration for heterogeneous fault diagnosis	19
Editorial Board	19
Enhanced predictive PDF control of stochastic distribution systems with neural network compensation and its application	19
TFNet: Few-shot identification of LTI systems based on convolutional neural networks	18
Charge process management of lithium-ion batteries based on digital twins: A new way to extend life	18
Autoregressive double latent variables probabilistic model for higher-order dynamic process monitoring	18
Editorial Board	18
Dynamic fault detection and diagnosis for alkaline water electrolyzer with variational Bayesian Sparse principal component analysis	18
Nonferrous metal price forecasting based on signal decomposition and ensemble learning	18
Robust particle filter for state estimation in presence of bounded but uncertain parameters based on ellipsoidal set membership approach	18
Fault monitoring-oriented transition process identification of complex industrial processes with neighbor inconsistent pair-based attribute reduction	18
SEAG: A novel dynamic security risk assessment method for industrial control systems with consideration of social engineering	18
Dynamic transfer soft sensor for concept drift adaptation	18
Design of delay timers based on estimated probability mass functions of alarm durations	18
Economic model predictive control based on lattice trajectory piecewise linear model for wastewater treatment plants	17

Adaptive fixed-time terminal sliding mode control of a Peltier cell fused with a fuzzy fixed-time perturbation estimator	17
Multi-scale Transformer-CNN domain adaptation network for complex processes fault diagnosis	17
Editorial Board	17
Towards automated hazard analysis for CPS security with application to CSTR system	17
Robust cooperative distributed MPC: A multi-model approach	17
Modeling and control of networked kinetic systems with delayed interconnections	17
Optimization-based network partitioning for distributed and decentralized control	17
Optimal control of viscous fingering	17
Efficient model predictive control of boiler coal combustion based on NARX neutral network	16
A predictive control based on decentralized fuzzy inference for a pH neutralization process	16
Multi-level data-predictive control for linear multi-timescale processes with stability guarantee	16
Multi-objective optimization method for cement calcination system based on dual population differential evolution algorithm	16
Intelligent state estimation for fault tolerant integrated frequent RTO and adaptive nonlinear MPC	16
On positive systems with multivariable positive control: Process stabilization	16
Image restoration and analysis with application to quality variable prediction in flotation process	16
Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints	16
Iterative learning hybrid robust predictive fault-tolerant control for nonlinear batch processes with partial actuator faults	16
Data-driven worst case model predictive control algorithm for propylene distillation column under uncertainty of top composition	15
Operational adjustment modeling approach based on Bayesian network transfer learning for new flotation process under scarce data	15
Comparison of multiple Kalman filter and moving horizon estimator for the anesthesia process	15
On Recurrent Neural Networks for learning-based control: Recent results and ideas for future developments	15
Robust data-based predictive control of systems with parametric uncertainties: Paving the way for cooperative learning	15
Editorial Board	15
Optimal production of microalgae in the presence of grazers	15
A continuous-time LPV models for a biofiltration process in wastewater nitrification — A global approach methodology for parametric estimation	15
Extremum seeking control for optimization of an open-loop grinding mill using grind curves	14
Control of cascaded series dead-time processes with ideal achievable disturbance attenuation using a predictors-based structure	14
ILC-based two-layer strategy for economic performance improvement in industrial MPC systems	14
Robust state estimation of the anaerobic digestion process for municipal organic waste using an unscented Kalman filter	14
Direct approaches for PDE-constrained dynamic optimization based on space–time orthogonal collocation on finite elements	14
A fast, fully distributed nonlinear model predictive control algorithm with parametric sensitivity through Jacobi iteration	14
Deep learning-based model predictive control for real-time supply chain optimization	13
Condition-driven probabilistic adversarial autoencoder with nonlinear Gaussian feature learning for nonstationary process monitoring	13
Predicting goal attainment in process-oriented behavioral interventions using a data-driven system identification approach	13
Modified active disturbance rejection control based on gain scheduling for circulating fluidized bed units	13
Spatiotemporal-response-correlation-based model predictive control of heat conduction temperature field	13
Spectral radius-based interval principal component analysis (SR-IPCA) for fault detection in industrial processes with imprecise data	13
Multivariate batch to batch optimisation of fermentation processes to improve productivity	13
Distributed process monitoring based on joint mutual information and projective dictionary pair learning	13
Cross correlation-based blocking whitening slow feature analysis for coupled-data industrial process monitoring	13
A novel interactive prognosis framework with nonlinear Wiener process and multi-sensor fusion for remaining useful life prediction	12
Editorial Board	12
Distributed parameter modeling of fluid transmission lines	12
Interval estimation of sensor fault in rotary steerable drilling tools based on set-membership approach	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
Nonintrusive parameter adaptation of chemical process models with reinforcement learning	12
A two-dimensional model predictive iterative learning control based on the set point learning strategy for batch processes	12
Lyapunov based on-line model reduction and control of semilinear dissipative distributed parameter systems with minimum feedback information	12
Multi-rate Gaussian Bayesian network soft sensor development with noisy input and missing data	12
Nonlinear, robust, interval state estimation for distribution systems based on fixed-point expansion considering uncertainties	12
Nonlinear generalized predictive control with virtual unmodeled dynamics decomposition compensation and data driven	12
Low-carbon economic operation strategy for a multi-microgrid system considering internal carbon pricing and emission monitoring	12
Transformed inputs for linearization, decoupling and feedforward control	12
Adaptive design of delay timers for non-stationary process variables based on change detection and Bayesian estimation	12
A parametric sensitivity method for Arrival Cost design in nonlinear Moving Horizon Estimation	12
Slowness or Autocorrelation? A serial correlation feature analysis method and its application in process monitoring	12
Fitting second-order cone constraints to microbial growth data	12
On timeline of enhancing testing-capacity of COVID-19: A case study via an optimal replacement model	12
Computationally efficient solution of mixed integer model predictive control problems via machine learning aided Benders Decomposition	12
Novel hierarchical nonlinear control algorithm to improve dissolved oxygen control in biological WWTP	12
Sensor network design for post-combustion CO2	12
Stability properties of the adaptive horizon multi-stage MPC	12
ECCBO: An inherently safe Bayesian optimization with embedded constraint control for real-time process optimization	12
A robust optimization approach for steeling-continuous casting charge batch planning with uncertain slab weight	11
Perspectives on nonstationary process monitoring in the era of industrial artificial intelligence	11
Integrated spatiotemporal modeling and mixed-integer approximate dynamic programming for ASP flooding	11
Concurrent analysis of static deviation and dynamic oscillation for momentum wheel bearing health monitoring and prognostication	11
Geometric constructive network with block increments for lightweight data-driven industrial process modeling	11
Editorial Board	11
Tractable global solutions to chance-constrained Bayesian optimal experiment design for arbitrary prior and noise distributions	11
Discrepancy-based control of particle processes	11
A switched system formulation for optimal integration of scheduling and control in multi-product continuous processes	11
IBLFs-based adaptive fuzzy control for Continuous Stirred Tank Reactors with full state constraints and actuator faults	11
Closed-loop real-time optimization for unsteady operating production systems	10
Editorial Board	10
A missing data imputation method for industrial soft sensor modeling	10
Liquid level control in a recycle loop	10
Efficient adaptive deep gradient RBF network for multi-output nonlinear and nonstationary industrial processes	10
Smart batch process: The evolution from 1D and 2D to new 3D perspectives in the era of Big Data	10
Gaussian mixture TimeVAE for industrial soft sensing with deep time series decomposition and generation	10

Robust multi-mode probabilistic slow feature analysis with application to fault detection	10
Data-driven inference of bioprocess models: A low-rank matrix approximation approach	10
A model-based supersaturation estimator (inferential or soft-sensor) for industrial sugar crystallization process	10
Fault estimation and self-healing control of discrete-time T-S fuzzy model with sensor and actuator faults based on dual observers	10
A stable Lasso algorithm for inferential sensor structure learning and parameter estimation	10
Data-driven identification and comparison of full multivariable models for propofol–remifentanil induced general anesthesia	10
Multi time scale inception-time network for soft sensor of blast furnace ironmaking process	10
Stiction parameter identification for pneumatic valves with a simultaneous approach	10
A predictor for dead-time systems based on the Kalman Filter for improved disturbance rejection and robustness	10
Economic Oriented Dynamic Matrix Control of Wastewater Treatment Plants	10
Tomography-assisted control for the microwave drying process of polymer foams	10
Just-in-time based soft sensors for process industries: A status report and recommendations	10
SAFE-OCC: A novelty detection framework for Convolutional Neural Network sensors and its application in process control	10
Reinforcement learning based iterative learning control for nonlinear batch process with non-repetitive uncertainty via Koopman operator	10
Semi-supervised concept drift detection and adaptation based on conformal martingale framework	9
Assessment of alarm systems for mixture processes and intermittent faults	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
New inversion methods for the single/multi-shape CLD-to-PSD problem with spheroid particles	9
Monitoring the operating state of crystal growth process based on digital twin model	9
Subspace identification of Hammerstein models with interval uncertainties	9
Enhancing BNN structure learning of hybrid modeling strategy for free formulated mechanism complex systems	9
Synchronizing controller design for networked heat equations with boundary structured time-varying perturbations and general disturbances	9
Robust safe reinforcement learning control of unknown continuous-time nonlinear systems with state constraints and disturbances	9
Output feedback based robust iterative learning control via a heuristic approach for batch processes with time-varying state delays and uncertainties	9
Reconfiguration of flow-based networks with back-up components using robust economic MPC	9
Economic model predictive control for energy management of a microgrid connected to the main electrical grid	9
A low-cost pole-placement MPC algorithm for controlling complex dynamic systems	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
Comparing economic model predictive control to basic and advanced regulatory control on a simulated high-pressure grinding rolls, ball mill, and flotation circuit	9
Model predictive coordinated cooperative control mechanism for multiagent systems based on priority negotiation	9
Cascade multi-resonant disturbance observer design. Application to a distillation column	9
A novel mass flow controller for tandem hot rolling mills	9
Coal mill model considering heat transfer effect on mass equations with estimation of moisture	9
Pulp and paper characterization by means of artificial neural networks for effluent solid waste minimization—A case study	8
Robust coalitional model predictive control with negotiation of mutual interactions	8
A new Sliding Mode Control tuning approach for second-order inverse-response plus variable dead time processes	8
Adaptive temperature control of a reverse flow process by using reinforcement learning approach	8
Experimental validation of passive and active fault-tolerant controls against sensor faults in a proton exchange membrane fuel cell system	8
Structured fault information-aided canonical variate analysis model for dynamic process monitoring	8
Dynamic controlled variables based dynamic self-optimizing control	8
An interval multiobserver for nonlinear systems subject to internal and external disturbances: Real time experimental validation	8
Off-policy reinforcement learning-based novel model-free minmax fault-tolerant tracking control for industrial processes	8
Physics-informed recurrent neural network modeling for predictive control of nonlinear 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
Data-driven two-dimensional integrated control for nonlinear batch processes	8
Safe, visualizable reinforcement learning for process control with a warm-started actor network based on PI-control	8
Real-time monitoring of reaction mechanisms from spectroscopic data using hidden semi-Markov models for mode identification	8
Improved fault detection based on kernel PCA for monitoring industrial applications	8
A practical physical watermarking approach to detect replay attacks in a CPS	8
Pruning graph convolutional network-based feature learning for fault diagnosis of industrial processes	8
Federated learning-based distributed model predictive control	8
Subspace identification of dynamic processes with consideration of time delays: A Bayesian optimization scheme	8
Respiration rate estimation using non-linear observers in application to wastewater treatment plant	7
Mixed logical dynamical (MLD)-based Kalman filter for hybrid systems fault diagnosis	7
A new class of fault detection and diagnosis methods by fusion of spatially distributed and time-dependent features	7
Extremum seeking control and gradient estimation based on the Super-Twisting algorithm	7
A cloud–edge collaborative hierarchical diagnosis framework for key performance indicator-related faults in manufacturing industries	7
Convex reformulations for self-optimizing control optimization problem: Linear Matrix Inequality approach	7
Automated search of process control limits for fault detection in time series data	7
Dynamic real-time optimization for nonlinear systems with Lyapunov stabilizing MPC	7
A stochastic approach for the solution of single and multi–objective optimisation problems of biological processes in sequencing batch reactor	7
Virtual unmodeled dynamic and data-driven nonlinear robust predictive control	7
Multi-furnace optimization in silicon single crystal production plants by power load scheduling	7
Temperature control system based on Active Disturbance Rejection Control and its parameter optimization in large-sized monolithic silicon epitaxy equipment reactor	7
Robust predictive tracking fault-tolerant control for multiphase switched systems with asynchronous switching: A Lyapunov–Razumikhin method	7
Early lumping observer design and sensor placement for transport-reaction systems	7
Design and repetitive control of a self-cycling ethanol fermentation bioreactor for ethanol production	7
Time delay and model parameter estimation for nonlinear system with simultaneous approach	7
Simultaneous and sequential state and parameter estimation using receding-horizon nonlinear Kalman filter	7
Sliding window neural network based sensing of bacteria in wastewater treatment plants	7
Novel complex-valued long short-term memory network integrating variational mode decomposition for soft sensor	7
Global self-optimizing control of batch processes	7
Multi-source unsupervised soft sensor based on joint distribution alignment and mapping structure preservation	7
Identifiable prediction animal model for the bi-hormonal intraperitoneal artificial pancreas	7
Markov Chain approach to get control limits for a Shewhart Control Chart to monitor the mean of a Discrete Weibull distribution	7
Active nonstationary variables selection based just-in-time co-integration analysis and slow feature analysis monitoring approach for dynamic processes	7
Self-tuning kernel Gaussian method for predictive control systems	7
Two-stage continuous biomethane production from enzymatic hydrolysate of agave bagasse: Modelling, identification and control	7
Data-driven soft constrained model predictive control for sludge bulking in wastewater treatment process	7
Graph-regularized data-driven control: Simultaneous optimization across multiple operating conditions	7
Process monitoring using causal graphical models, with application to clogging detection in steel continuous casting	7
Enhanced multicorrelation block process monitoring and abnormity root cause analysis for distributed industrial process: A visual data-driven approach	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
Selecting model features that lead to linear models of bi-product distillation towers	7
Saturated output-feedback control and state estimation of a class of exothermic tubular reactors	7
Fault-tolerant safe control for water networks: A backstepping neural control barrier function approach	7
Dynamic data reconciliation to enhance the performance of feedforward/feedback control systems with measurement noise	7
Enhanced pressure control system for the vacuum vessel of Damavand Tokamak using PID and multiple model control	7
Multi-model adaptive switching control of a nonlinear system and its applications in a smelting process of fused magnesia	7
Geometrical analysis of consecutive dynamic behaviors in process monitoring	7
Smart greenhouse control under harsh climate conditions based on data-driven robust model predictive control with principal component analysis and kernel density estimation	6