Journal of Process Control

Article	Citations
Comparison of industrial controllers: Disturbance rejection in an up-and-running industrial flotation process	166
Model predictive control of feed rate for stabilizing and enhancing biogas production in anaerobic digestion under meteorological fluctuations	111
Editorial Board	108
Canonical correlation analysis-aided design of Kalman filter-based residual generator for monitoring of industrial control systems	96
Align knowledge with time-series: Cross-modal domain knowledge activation for LLM-enabled zero-shot fault diagnosis	69
Wiener models robust identification of multi-rate process with time-varying delay using expectation-maximization algorithm	60
Robust closed-loop dynamic real-time optimization	60
Multi-objective optimal scheduling of laminar cooling water supply system for hot rolling mills driven by digital twin for energy-saving	57
Dynamic transfer partial least squares for domain adaptive regression	55
Study of parabolic trough collector with crucial analysis on controller and estimator with variable mirror efficiency	52
On the update of algebraic states during state estimation of differential–algebraic equation (DAE) systems	45
FPGA-embedded optimization algorithm to maximize the acetate productivity in a dark fermentation process	42
Melt viscosity control in polymer extrusion using nonlinear model predictive control with neural state space modelling and soft sensor feedback	42
Adaptive temperature model for microalgae cultivation systems	40
A dynamic programming-inspired approach for Mixed Integer Optimal Control Problems with dwell time constraints	39
A novel method for actuator fault detection considering complex operating processes	38
Editorial Board	36
Editorial Board	36
A priority-aware sequential pattern mining method for detection of compact patterns from alarm floods	35
Modeling proportional–integral controllers in tracking and economic model predictive control	35
Big data-driven predictive control for nonlinear systems—A trajectory cluster-based contraction approach	34
Robust MPC design for multi-model infinite-dimensional distributed parameter systems	33
Quality-driven deep feature representation learning and its industrial application to soft sensors	32
Data-driven second-order iterative sliding mode control for cyber–physical systems under prescribed performance and DoS attacks	31
State-of-charge dependent equivalent circuit model identification for batteries using sparse Gaussian process regression	30

Model predictive control of pressure-swing distillation via closed-loop system identification	29
Plantwide control design using latent variables: An integration between control allocation and a measurement combination approach	28
A novel dynamic model for the online prediction of rate of penetration and its industrial application to a drilling process	28
A scenario-based framework for the integration of scheduling and control under multiple uncertainties	28
Novel adaptive fault detection method based on kernel entropy component analysis integrating moving window of dissimilarity for nonlinear dynamic processes	27
A modified Bayesian network to handle cyclic loops in root cause diagnosis of process faults in the chemical process industry	27
Enhanced MPC based on unknown state estimation and control compensation	27
Simultaneous interval estimation of actuator fault and state for a class of nonlinear systems by zonotope analysis	26
Self-tunable approximated explicit MPC: Heat exchanger implementation and analysis	25
Harnessing monotonicity to design an adaptive PI passivity-based controller for a fuel-cell system	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
Ensemble Quality-Aware Slow Feature Analysis for decentralized dynamic process monitoring	23
A multi-model fault-tolerant control method for concurrent faults in wastewater treatment processes based on semi-supervised learning and physical constraints	23
Output consensus for interconnected systems via the internal model principle and a model predictive control based strategy	23
Real-time estimation of quality-related variable for dynamic and non-Gaussian process based on semisupervised Bayesian HMM	22
Improved event-triggered control for a chemical tubular reactor with singular perturbations	22
Reducing false alarms in fault detection: A comparative analysis between conformal prediction and classical methods applied to PCA and autoencoders	22
A decentralized operating performance assessment for geological drilling process via multi-block total projection to latent structures and Bayesian inference	22
Fault detection and identification using a novel process decomposition algorithm for distributed process monitoring	22
Improved operation of a large-scale blast furnace using a hybrid dynamic model based optimizing control scheme	21
Optimal modeling of fermentation process using hybrid support vector regression	21
Federated knowledge amalgamation with unbiased semantic attributes under cloud–edge collaboration for heterogeneous fault diagnosis	21
A novel few-shot fault diagnosis model for addressing nonstationarity in the ironmaking process	21
Editorial Board	21
An alternative method for estimating Hurst exponent of control signals based on system dynamics	21
On optimal control of hybrid dynamical systems using complementarity constraints	20
Optimal controlled variable switching for global self-optimizing control of active-set change processes	20
A novel white component analysis for dynamic process monitoring	20
Capturing principal features in slow industrial processes for anomaly detection application	20
Manifold-constrained trace ratio optimization for nonstationary process performance monitoring	20
Enhanced predictive PDF control of stochastic distribution systems with neural network compensation and its application	20
Dynamic causal modeling for nonstationary industrial process performance degradation analysis and fault prognosis	19
Optimized control strategy based on EPCH and DBMP algorithms for quadruple-tank liquid level system	19
Memory-guided reconstruction for generalized zero-shot industrial fault diagnosis	18
Mutual information and attention-based variable selection for soft sensing of industrial processes	18
Fault detection and diagnosis of batch process dynamics using ARMA-based control charts	18
Prior-informed adaptive multi-objective graph reinforcement learning for lysine fed-batch fermentation process	18
Fault monitoring-oriented transition process identification of complex industrial processes with neighbor inconsistent pair-based attribute reduction	18
Exponential admissibility and control for singular LPV-PDE systems with application to chemical tubular reactor	18
Gaussian mixture continuously adaptive regression for multimode processes soft sensing under time-varying virtual drift	18
Robust particle filter for state estimation in presence of bounded but uncertain parameters based on ellipsoidal set membership approach	18
Editorial Board	18
Control of a complex multistep process for the production of mesalazine	18
Design of delay timers based on estimated probability mass functions of alarm durations	18
Autoregressive double latent variables probabilistic model for higher-order dynamic process monitoring	18
Charge process management of lithium-ion batteries based on digital twins: A new way to extend life	18
Robust cooperative distributed MPC: A multi-model approach	17
Editorial Board	17
Optimal control of viscous fingering	17

TFNet: Few-shot identification of LTI systems based on convolutional neural networks	17
Dynamic transfer soft sensor for concept drift adaptation	16
Nonferrous metal price forecasting based on signal decomposition and ensemble learning	16
Multi-scale Transformer-CNN domain adaptation network for complex processes fault diagnosis	16
Dynamic fault detection and diagnosis for alkaline water electrolyzer with variational Bayesian Sparse principal component analysis	16
Trajectory tracking of two-stage anaerobic digestion process: A predictive control with guaranteed performance and saturated input, based on ultra-local model	16
On positive systems with multivariable positive control: Process stabilization	15
Editorial Board	15
Multi-objective optimization method for cement calcination system based on dual population differential evolution algorithm	15
Data-driven worst case model predictive control algorithm for propylene distillation column under uncertainty of top composition	15
Multi-level data-predictive control for linear multi-timescale processes with stability guarantee	15
Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints	15
Towards automated hazard analysis for CPS security with application to CSTR system	15
A predictive control based on decentralized fuzzy inference for a pH neutralization process	15
SEAG: A novel dynamic security risk assessment method for industrial control systems with consideration of social engineering	15
Economic model predictive control based on lattice trajectory piecewise linear model for wastewater treatment plants	15
Optimization-based network partitioning for distributed and decentralized control	15
Image restoration and analysis with application to quality variable prediction in flotation process	15
Intelligent state estimation for fault tolerant integrated frequent RTO and adaptive nonlinear MPC	14
Iterative learning hybrid robust predictive fault-tolerant control for nonlinear batch processes with partial actuator faults	14
Adaptive fixed-time terminal sliding mode control of a Peltier cell fused with a fuzzy fixed-time perturbation estimator	14
Prior model identification for stochastic optimal control of continuous aqueous two-phase flotation	14
Modeling and control of networked kinetic systems with delayed interconnections	14
Efficient model predictive control of boiler coal combustion based on NARX neutral network	13
Robust state estimation of the anaerobic digestion process for municipal organic waste using an unscented Kalman filter	13
Condition-driven probabilistic adversarial autoencoder with nonlinear Gaussian feature learning for nonstationary process monitoring	13
A continuous-time LPV models for a biofiltration process in wastewater nitrification — A global approach methodology for parametric estimation	13
Spatiotemporal-response-correlation-based model predictive control of heat conduction temperature field	13
Robust data-based predictive control of systems with parametric uncertainties: Paving the way for cooperative learning	13
On Recurrent Neural Networks for learning-based control: Recent results and ideas for future developments	13
Cross correlation-based blocking whitening slow feature analysis for coupled-data industrial process monitoring	13
Operational adjustment modeling approach based on Bayesian network transfer learning for new flotation process under scarce data	13
Deep learning-based model predictive control for real-time supply chain optimization	13
Editorial Board	12
Adaptive design of delay timers for non-stationary process variables based on change detection and Bayesian estimation	12
Optimal production of microalgae in the presence of grazers	12
Extremum seeking control for optimization of an open-loop grinding mill using grind curves	12
Prescribed performance based direct data-driven model predictive control for continuous stirred tank reactor	12
Comparison of multiple Kalman filter and moving horizon estimator for the anesthesia process	12
A parametric sensitivity method for Arrival Cost design in nonlinear Moving Horizon Estimation	12
Control of cascaded series dead-time processes with ideal achievable disturbance attenuation using a predictors-based structure	12
Direct approaches for PDE-constrained dynamic optimization based on space–time orthogonal collocation on finite elements	12
A fast, fully distributed nonlinear model predictive control algorithm with parametric sensitivity through Jacobi iteration	12
Capturing stirring–diffusion and product inhibition in fed-batch fermentation process: A distributed parameter modeling framework	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
Editorial Board	12
Predicting goal attainment in process-oriented behavioral interventions using a data-driven system identification approach	12
Spectral radius-based interval principal component analysis (SR-IPCA) for fault detection in industrial processes with imprecise data	12
Robust soft sensing with causal and injectivity-preserving Graph Neural Network	12
Slowness or Autocorrelation? A serial correlation feature analysis method and its application in process monitoring	11
Editorial Board	11
ECCBO: An inherently safe Bayesian optimization with embedded constraint control for real-time process optimization	11
Fitting second-order cone constraints to microbial growth data	11
Computationally efficient solution of mixed integer model predictive control problems via machine learning aided Benders Decomposition	11
Nonintrusive parameter adaptation of chemical process models with reinforcement learning	11
Geometric constructive network with block increments for lightweight data-driven industrial process modeling	11
A two-dimensional model predictive iterative learning control based on the set point learning strategy for batch processes	11
Low-carbon economic operation strategy for a multi-microgrid system considering internal carbon pricing and emission monitoring	11
A physics-based multi-regime approach for estimation of head losses in operating hydropower plants	11
Sensor network design for post-combustion CO2	11
Discrepancy-based control of particle processes	10
Tomography-assisted control for the microwave drying process of polymer foams	10
Efficient adaptive deep gradient RBF network for multi-output nonlinear and nonstationary industrial processes	10
Concurrent analysis of static deviation and dynamic oscillation for momentum wheel bearing health monitoring and prognostication	10
Stability properties of the adaptive horizon multi-stage MPC	10
Transformed inputs for linearization, decoupling and feedforward control	10
Editorial Board	10
A robust optimization approach for steeling-continuous casting charge batch planning with uncertain slab weight	10
Data-driven inference of bioprocess models: A low-rank matrix approximation approach	10
Tractable global solutions to chance-constrained Bayesian optimal experiment design for arbitrary prior and noise distributions	10
Enhancing hierarchical learning of real-time optimization and model predictive control for operational performance	10
Nonlinear generalized predictive control with virtual unmodeled dynamics decomposition compensation and data driven	10
Nonlinear, robust, interval state estimation for distribution systems based on fixed-point expansion considering uncertainties	10
Perspectives on nonstationary process monitoring in the era of industrial artificial intelligence	10
Editorial Board	10
Economic Oriented Dynamic Matrix Control of Wastewater Treatment Plants	10
A model-based supersaturation estimator (inferential or soft-sensor) for industrial sugar crystallization process	10
Closed-loop real-time optimization for unsteady operating production systems	10

Interval estimation of sensor fault in rotary steerable drilling tools based on set-membership approach	10
Real-time physical activity detection module during sensor augmented insulin pump therapy	10
A novel interactive prognosis framework with nonlinear Wiener process and multi-sensor fusion for remaining useful life prediction	10
Stiction parameter identification for pneumatic valves with a simultaneous approach	10
Reinforcement learning based iterative learning control for nonlinear batch process with non-repetitive uncertainty via Koopman operator	9
Deep learning-based model predictive control with exponential weighting strategy and its application in energy management systems	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
A multiple neural network and reinforcement learning-based strategy for process control	9
Model predictive coordinated cooperative control mechanism for multiagent systems based on priority negotiation	9
Data-driven identification and comparison of full multivariable models for propofol–remifentanil induced general anesthesia	9
SAFE-OCC: A novelty detection framework for Convolutional Neural Network sensors and its application in process control	9
Multi time scale inception-time network for soft sensor of blast furnace ironmaking process	9
Finding trustworthy neighbors: Graph aided federated learning for few-shot industrial fault diagnosis with data heterogeneity	9
Closed-loop control framework for optimal startup of cryogenic air separation units	9
Reconfiguration of flow-based networks with back-up components using robust economic MPC	9
Output feedback based robust iterative learning control via a heuristic approach for batch processes with time-varying state delays and uncertainties	9
Cascade multi-resonant disturbance observer design. Application to a distillation column	9
Just-in-time based soft sensors for process industries: A status report and recommendations	9
Economic model predictive control for energy management of a microgrid connected to the main electrical grid	9
A missing data imputation method for industrial soft sensor modeling	9
Gaussian mixture TimeVAE for industrial soft sensing with deep time series decomposition and generation	9
Robust multi-mode probabilistic slow feature analysis with application to fault detection	9
Monitoring the operating state of crystal growth process based on digital twin model	9
New inversion methods for the single/multi-shape CLD-to-PSD problem with spheroid particles	9
Towards hybrid modeling with mechanistic and real-time data embed iterative co-optimization for industrial processes	9
A combined experimental-modeling approach for turbidity removal optimization in a coagulation–flocculation unit of a drinking water treatment plant	9
Fault estimation and self-healing control of discrete-time T-S fuzzy model with sensor and actuator faults based on dual observers	9
Smart batch process: The evolution from 1D and 2D to new 3D perspectives in the era of Big Data	9
IBLFs-based adaptive fuzzy control for Continuous Stirred Tank Reactors with full state constraints and actuator faults	9