Journal of Process Control

Article	Citations
Comparison of industrial controllers: Disturbance rejection in an up-and-running industrial flotation process	160
Model predictive control of feed rate for stabilizing and enhancing biogas production in anaerobic digestion under meteorological fluctuations	105
Editorial Board	101
Dynamic optimization and nonlinear model predictive control of a semi-batch epoxidation process	93
Canonical correlation analysis-aided design of Kalman filter-based residual generator for monitoring of industrial control systems	68
Dynamic transfer partial least squares for domain adaptive regression	59
Multi-objective optimal scheduling of laminar cooling water supply system for hot rolling mills driven by digital twin for energy-saving	56
Align knowledge with time-series: Cross-modal domain knowledge activation for LLM-enabled zero-shot fault diagnosis	56
Robust closed-loop dynamic real-time optimization	53
Wiener models robust identification of multi-rate process with time-varying delay using expectation-maximization algorithm	51
Study of parabolic trough collector with crucial analysis on controller and estimator with variable mirror efficiency	43
FPGA-embedded optimization algorithm to maximize the acetate productivity in a dark fermentation process	40
On the update of algebraic states during state estimation of differential–algebraic equation (DAE) systems	40
Melt viscosity control in polymer extrusion using nonlinear model predictive control with neural state space modelling and soft sensor feedback	37
Plantwide control design using latent variables: An integration between control allocation and a measurement combination approach	37
Model predictive control of pressure-swing distillation via closed-loop system identification	36
A novel method for actuator fault detection considering complex operating processes	36
Editorial Board	35
Simultaneous interval estimation of actuator fault and state for a class of nonlinear systems by zonotope analysis	35
Editorial Board	34
A scenario-based framework for the integration of scheduling and control under multiple uncertainties	33
Robust MPC design for multi-model infinite-dimensional distributed parameter systems	32
A priority-aware sequential pattern mining method for detection of compact patterns from alarm floods	32
Adaptive temperature model for microalgae cultivation systems	31
Quality-driven deep feature representation learning and its industrial application to soft sensors	30

Modeling proportional–integral controllers in tracking and economic model predictive control	29
A dynamic programming-inspired approach for Mixed Integer Optimal Control Problems with dwell time constraints	29
State-of-charge dependent equivalent circuit model identification for batteries using sparse Gaussian process regression	28
Big data-driven predictive control for nonlinear systems—A trajectory cluster-based contraction approach	28
A novel dynamic model for the online prediction of rate of penetration and its industrial application to a drilling process	27
Enhanced MPC based on unknown state estimation and control compensation	27
Data-driven second-order iterative sliding mode control for cyber–physical systems under prescribed performance and DoS attacks	27
A modified Bayesian network to handle cyclic loops in root cause diagnosis of process faults in the chemical process industry	27
Harnessing monotonicity to design an adaptive PI passivity-based controller for a fuel-cell system	26
Novel adaptive fault detection method based on kernel entropy component analysis integrating moving window of dissimilarity for nonlinear dynamic processes	26
Control-oriented modeling of a LiBr/H2	25
A convex optimization approach to multi-objective design of two-stage compensators for MIMO linear systems	25
An alternative method for estimating Hurst exponent of control signals based on system dynamics	25
Self-tunable approximated explicit MPC: Heat exchanger implementation and analysis	24
Output consensus for interconnected systems via the internal model principle and a model predictive control based strategy	24
A multi-model fault-tolerant control method for concurrent faults in wastewater treatment processes based on semi-supervised learning and physical constraints	23
A decentralized operating performance assessment for geological drilling process via multi-block total projection to latent structures and Bayesian inference	23
Ensemble Quality-Aware Slow Feature Analysis for decentralized dynamic process monitoring	22
Optimal modeling of fermentation process using hybrid support vector regression	21
Improved operation of a large-scale blast furnace using a hybrid dynamic model based optimizing control scheme	21
Improved event-triggered control for a chemical tubular reactor with singular perturbations	21
Reducing false alarms in fault detection: A comparative analysis between conformal prediction and classical methods applied to PCA and autoencoders	21
Federated knowledge amalgamation with unbiased semantic attributes under cloud–edge collaboration for heterogeneous fault diagnosis	20
Fault detection and diagnosis of batch process dynamics using ARMA-based control charts	20
Fault detection and identification using a novel process decomposition algorithm for distributed process monitoring	20
Gaussian mixture continuously adaptive regression for multimode processes soft sensing under time-varying virtual drift	20
A novel white component analysis for dynamic process monitoring	20
Real-time estimation of quality-related variable for dynamic and non-Gaussian process based on semisupervised Bayesian HMM	20
Editorial Board	20
On optimal control of hybrid dynamical systems using complementarity constraints	20
A novel few-shot fault diagnosis model for addressing nonstationarity in the ironmaking process	20
Memory-guided reconstruction for generalized zero-shot industrial fault diagnosis	19
Capturing principal features in slow industrial processes for anomaly detection application	19
Optimal controlled variable switching for global self-optimizing control of active-set change processes	19
Dynamic causal modeling for nonstationary industrial process performance degradation analysis and fault prognosis	18
Manifold-constrained trace ratio optimization for nonstationary process performance monitoring	18
Optimized control strategy based on EPCH and DBMP algorithms for quadruple-tank liquid level system	18
Enhanced predictive PDF control of stochastic distribution systems with neural network compensation and its application	18
Optimal control of viscous fingering	18
Exponential admissibility and control for singular LPV-PDE systems with application to chemical tubular reactor	18
Mutual information and attention-based variable selection for soft sensing of industrial processes	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	17
Robust particle filter for state estimation in presence of bounded but uncertain parameters based on ellipsoidal set membership approach	17
Fault monitoring-oriented transition process identification of complex industrial processes with neighbor inconsistent pair-based attribute reduction	17
TFNet: Few-shot identification of LTI systems based on convolutional neural networks	16
Editorial Board	16
Robust cooperative distributed MPC: A multi-model approach	16
SEAG: A novel dynamic security risk assessment method for industrial control systems with consideration of social engineering	16
Editorial Board	16

Charge process management of lithium-ion batteries based on digital twins: A new way to extend life	16
Dynamic transfer soft sensor for concept drift adaptation	15
Multi-level data-predictive control for linear multi-timescale processes with stability guarantee	15
On positive systems with multivariable positive control: Process stabilization	15
Prior-informed adaptive multi-objective graph reinforcement learning for lysine fed-batch fermentation process	15
Autoregressive double latent variables probabilistic model for higher-order dynamic process monitoring	15
Trajectory tracking of two-stage anaerobic digestion process: A predictive control with guaranteed performance and saturated input, based on ultra-local model	15
Towards automated hazard analysis for CPS security with application to CSTR system	15
Image restoration and analysis with application to quality variable prediction in flotation process	15
Dynamic fault detection and diagnosis for alkaline water electrolyzer with variational Bayesian Sparse principal component analysis	15
Nonferrous metal price forecasting based on signal decomposition and ensemble learning	15
Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints	15
Economic model predictive control based on lattice trajectory piecewise linear model for wastewater treatment plants	15
Editorial Board	15
Multi-scale Transformer-CNN domain adaptation network for complex processes fault diagnosis	15
A predictive control based on decentralized fuzzy inference for a pH neutralization process	14
On Recurrent Neural Networks for learning-based control: Recent results and ideas for future developments	14
Modeling and control of networked kinetic systems with delayed interconnections	14
Data-driven worst case model predictive control algorithm for propylene distillation column under uncertainty of top composition	14
Intelligent state estimation for fault tolerant integrated frequent RTO and adaptive nonlinear MPC	14
Optimization-based network partitioning for distributed and decentralized control	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
Efficient model predictive control of boiler coal combustion based on NARX neutral network	13
Spatiotemporal-response-correlation-based model predictive control of heat conduction temperature field	13
Control of cascaded series dead-time processes with ideal achievable disturbance attenuation using a predictors-based structure	13
Spectral radius-based interval principal component analysis (SR-IPCA) for fault detection in industrial processes with imprecise data	13
Capturing stirring–diffusion and product inhibition in fed-batch fermentation process: A distributed parameter modeling framework	13
Multi-objective optimization method for cement calcination system based on dual population differential evolution algorithm	13
Iterative learning hybrid robust predictive fault-tolerant control for nonlinear batch processes with partial actuator faults	13
Condition-driven probabilistic adversarial autoencoder with nonlinear Gaussian feature learning for nonstationary process monitoring	13
Robust state estimation of the anaerobic digestion process for municipal organic waste using an unscented Kalman filter	13
A continuous-time LPV models for a biofiltration process in wastewater nitrification — A global approach methodology for parametric estimation	13
Cross correlation-based blocking whitening slow feature analysis for coupled-data industrial process monitoring	13
Comparison of multiple Kalman filter and moving horizon estimator for the anesthesia process	13
Operational adjustment modeling approach based on Bayesian network transfer learning for new flotation process under scarce data	13
Predicting goal attainment in process-oriented behavioral interventions using a data-driven system identification approach	12
Multivariate batch to batch optimisation of fermentation processes to improve productivity	12
ILC-based two-layer strategy for economic performance improvement in industrial MPC systems	12
Extremum seeking control for optimization of an open-loop grinding mill using grind curves	12
Robust data-based predictive control of systems with parametric uncertainties: Paving the way for cooperative learning	12
Editorial Board	12
A fast, fully distributed nonlinear model predictive control algorithm with parametric sensitivity through Jacobi iteration	12
Deep learning-based model predictive control for real-time supply chain optimization	12
Direct approaches for PDE-constrained dynamic optimization based on space–time orthogonal collocation on finite elements	12
Optimal production of microalgae in the presence of grazers	12
A physics-based multi-regime approach for estimation of head losses in operating hydropower plants	11
ECCBO: An inherently safe Bayesian optimization with embedded constraint control for real-time process optimization	11
Low-carbon economic operation strategy for a multi-microgrid system considering internal carbon pricing and emission monitoring	11
A two-dimensional model predictive iterative learning control based on the set point learning strategy for batch processes	11
Editorial Board	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
Adaptive design of delay timers for non-stationary process variables based on change detection and Bayesian estimation	11
Slowness or Autocorrelation? A serial correlation feature analysis method and its application in process monitoring	11
Fitting second-order cone constraints to microbial growth data	11
Robust identification of linear parameter-varying dual-rate system with non-stationary heavy-tailed noise	11
Corrigendum to “Study of parabolic trough collector with crucial analysis on controller and estimator with variable mirror efficiency” [J. Process Control 143 (2024) 103317]	11
Modified active disturbance rejection control based on gain scheduling for circulating fluidized bed units	11
A parametric sensitivity method for Arrival Cost design in nonlinear Moving Horizon Estimation	11
Editorial Board	11
Nonlinear generalized predictive control with virtual unmodeled dynamics decomposition compensation and data driven	11
Stability properties of the adaptive horizon multi-stage MPC	11
Perspectives on nonstationary process monitoring in the era of industrial artificial intelligence	10
Editorial Board	10
Discrepancy-based control of particle processes	10
Tomography-assisted control for the microwave drying process of polymer foams	10
Interval estimation of sensor fault in rotary steerable drilling tools based on set-membership approach	10
Sensor network design for post-combustion CO2	10
Editorial Board	10
Closed-loop real-time optimization for unsteady operating production systems	10
Concurrent analysis of static deviation and dynamic oscillation for momentum wheel bearing health monitoring and prognostication	10
Transformed inputs for linearization, decoupling and feedforward control	10
A novel interactive prognosis framework with nonlinear Wiener process and multi-sensor fusion for remaining useful life prediction	10
Computationally efficient solution of mixed integer model predictive control problems via machine learning aided Benders Decomposition	10
Multi time scale inception-time network for soft sensor of blast furnace ironmaking process	10
Tractable global solutions to chance-constrained Bayesian optimal experiment design for arbitrary prior and noise distributions	10
Nonlinear, robust, interval state estimation for distribution systems based on fixed-point expansion considering uncertainties	10
SAFE-OCC: A novelty detection framework for Convolutional Neural Network sensors and its application in process control	9
Stiction parameter identification for pneumatic valves with a simultaneous approach	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
Robust multi-mode probabilistic slow feature analysis with application to fault detection	9
Model predictive coordinated cooperative control mechanism for multiagent systems based on priority negotiation	9
Deep learning-based model predictive control with exponential weighting strategy and its application in energy management systems	9
Finding trustworthy neighbors: Graph aided federated learning for few-shot industrial fault diagnosis with data heterogeneity	9
Towards hybrid modeling with mechanistic and real-time data embed iterative co-optimization for industrial processes	9
Efficient adaptive deep gradient RBF network for multi-output nonlinear and nonstationary industrial processes	9
Data-driven inference of bioprocess models: A low-rank matrix approximation approach	9
A robust optimization approach for steeling-continuous casting charge batch planning with uncertain slab weight	9
Economic model predictive control for energy management of a microgrid connected to the main electrical grid	9
Economic Oriented Dynamic Matrix Control of Wastewater Treatment Plants	9
Closed-loop control framework for optimal startup of cryogenic air separation units	9
Cascade multi-resonant disturbance observer design. Application to a distillation column	9
Data-driven identification and comparison of full multivariable models for propofol–remifentanil induced general anesthesia	9
IBLFs-based adaptive fuzzy control for Continuous Stirred Tank Reactors with full state constraints and actuator faults	9
A missing data imputation method for industrial soft sensor modeling	9
A model-based supersaturation estimator (inferential or soft-sensor) for industrial sugar crystallization process	9
Reinforcement learning based iterative learning control for nonlinear batch process with non-repetitive uncertainty via Koopman operator	9
Enhancing hierarchical learning of real-time optimization and model predictive control for operational performance	9
Just-in-time based soft sensors for process industries: A status report and recommendations	9
Monitoring the operating state of crystal growth process based on digital twin model	9
A survey and experimental study for embedding-aware generative models: Features, models, and any-shot scenarios	9
Gaussian mixture TimeVAE for industrial soft sensing with deep time series decomposition and generation	9