Journal of Process Control

Article	Citations
Study of parabolic trough collector with crucial analysis on controller and estimator with variable mirror efficiency	153
Comparison of industrial controllers: Disturbance rejection in an up-and-running industrial flotation process	104
Model predictive control of feed rate for stabilizing and enhancing biogas production in anaerobic digestion under meteorological fluctuations	101
Editorial Board	93
Robust closed-loop dynamic real-time optimization	68
Dynamic optimization and nonlinear model predictive control of a semi-batch epoxidation process	58
Canonical correlation analysis-aided design of Kalman filter-based residual generator for monitoring of industrial control systems	56
Align knowledge with time-series: Cross-modal domain knowledge activation for LLM-enabled zero-shot fault diagnosis	56
Dynamic transfer partial least squares for domain adaptive regression	53
Multi-objective optimal scheduling of laminar cooling water supply system for hot rolling mills driven by digital twin for energy-saving	49
Wiener models robust identification of multi-rate process with time-varying delay using expectation-maximization algorithm	47
Data-driven second-order iterative sliding mode control for cyber–physical systems under prescribed performance and DoS attacks	46
On the update of algebraic states during state estimation of differential–algebraic equation (DAE) systems	42
Robust MPC design for multi-model infinite-dimensional distributed parameter systems	39
A dynamic programming-inspired approach for Mixed Integer Optimal Control Problems with dwell time constraints	39
FPGA-embedded optimization algorithm to maximize the acetate productivity in a dark fermentation process	37
State-of-charge dependent equivalent circuit model identification for batteries using sparse Gaussian process regression	35
Melt viscosity control in polymer extrusion using nonlinear model predictive control with neural state space modelling and soft sensor feedback	35
A novel dynamic model for the online prediction of rate of penetration and its industrial application to a drilling process	35
A novel method for actuator fault detection considering complex operating processes	34
Enhanced MPC based on unknown state estimation and control compensation	33
Simultaneous interval estimation of actuator fault and state for a class of nonlinear systems by zonotope analysis	32
Plantwide control design using latent variables: An integration between control allocation and a measurement combination approach	31
Editorial Board	31
Editorial Board	31

A priority-aware sequential pattern mining method for detection of compact patterns from alarm floods	29
A scenario-based framework for the integration of scheduling and control under multiple uncertainties	29
Adaptive temperature model for microalgae cultivation systems	29
Quality-driven deep feature representation learning and its industrial application to soft sensors	28
Big data-driven predictive control for nonlinear systems—A trajectory cluster-based contraction approach	28
A modified Bayesian network to handle cyclic loops in root cause diagnosis of process faults in the chemical process industry	27
Novel adaptive fault detection method based on kernel entropy component analysis integrating moving window of dissimilarity for nonlinear dynamic processes	27
A novel few-shot fault diagnosis model for addressing nonstationarity in the ironmaking process	27
Modeling proportional–integral controllers in tracking and economic model predictive control	27
Harnessing monotonicity to design an adaptive PI passivity-based controller for a fuel-cell system	26
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	24
Control-oriented modeling of a LiBr/H2	23
Fault detection and identification using a novel process decomposition algorithm for distributed process monitoring	23
Improved operation of a large-scale blast furnace using a hybrid dynamic model based optimizing control scheme	23
A decentralized operating performance assessment for geological drilling process via multi-block total projection to latent structures and Bayesian inference	23
An alternative method for estimating Hurst exponent of control signals based on system dynamics	22
Self-tunable approximated explicit MPC: Heat exchanger implementation and analysis	22
A convex optimization approach to multi-objective design of two-stage compensators for MIMO linear systems	22
Real-time estimation of quality-related variable for dynamic and non-Gaussian process based on semisupervised Bayesian HMM	21
Optimal modeling of fermentation process using hybrid support vector regression	21
Reducing false alarms in fault detection: A comparative analysis between conformal prediction and classical methods applied to PCA and autoencoders	21
Editorial Board	21
Improved event-triggered control for a chemical tubular reactor with singular perturbations	21
Ensemble Quality-Aware Slow Feature Analysis for decentralized dynamic process monitoring	21
Optimal controlled variable switching for global self-optimizing control of active-set change processes	20
Mutual information and attention-based variable selection for soft sensing of industrial processes	20
On optimal control of hybrid dynamical systems using complementarity constraints	20
Optimized control strategy based on EPCH and DBMP algorithms for quadruple-tank liquid level system	20
Enhanced predictive PDF control of stochastic distribution systems with neural network compensation and its application	20
Memory-guided reconstruction for generalized zero-shot industrial fault diagnosis	20
Fault detection and diagnosis of batch process dynamics using ARMA-based control charts	19
Capturing principal features in slow industrial processes for anomaly detection application	19
Federated knowledge amalgamation with unbiased semantic attributes under cloud–edge collaboration for heterogeneous fault diagnosis	19
Data-driven offset-free multilinear model predictive control using constrained differential dynamic programming	19
A novel white component analysis for dynamic process monitoring	19
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
Multi-scale Transformer-CNN domain adaptation network for complex processes fault diagnosis	18
Manifold-constrained trace ratio optimization for nonstationary process performance monitoring	18
Gaussian mixture continuously adaptive regression for multimode processes soft sensing under time-varying virtual drift	18
Nonferrous metal price forecasting based on signal decomposition and ensemble learning	18
Dynamic causal modeling for nonstationary industrial process performance degradation analysis and fault prognosis	18
Trajectory tracking of two-stage anaerobic digestion process: A predictive control with guaranteed performance and saturated input, based on ultra-local model	18
Robust particle filter for state estimation in presence of bounded but uncertain parameters based on ellipsoidal set membership approach	18
Autoregressive double latent variables probabilistic model for higher-order dynamic process monitoring	17
Editorial Board	17
Dynamic fault detection and diagnosis for alkaline water electrolyzer with variational Bayesian Sparse principal component analysis	16
SEAG: A novel dynamic security risk assessment method for industrial control systems with consideration of social engineering	16
Charge process management of lithium-ion batteries based on digital twins: A new way to extend life	16

Optimal control of viscous fingering	16
Fault monitoring-oriented transition process identification of complex industrial processes with neighbor inconsistent pair-based attribute reduction	15
Editorial Board	15
Robust cooperative distributed MPC: A multi-model approach	15
Towards automated hazard analysis for CPS security with application to CSTR system	15
Editorial Board	15
Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints	15
Editorial Board	15
TFNet: Few-shot identification of LTI systems based on convolutional neural networks	15
Dynamic transfer soft sensor for concept drift adaptation	15
Image restoration and analysis with application to quality variable prediction in flotation process	15
Multi-level data-predictive control for linear multi-timescale processes with stability guarantee	14
Economic model predictive control based on lattice trajectory piecewise linear model for wastewater treatment plants	14
Adaptive fixed-time terminal sliding mode control of a Peltier cell fused with a fuzzy fixed-time perturbation estimator	14
On positive systems with multivariable positive control: Process stabilization	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
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
Data-driven worst case model predictive control algorithm for propylene distillation column under uncertainty of top composition	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
Modified active disturbance rejection control based on gain scheduling for circulating fluidized bed units	13
Cross correlation-based blocking whitening slow feature analysis for coupled-data industrial process monitoring	13
Spectral radius-based interval principal component analysis (SR-IPCA) for fault detection in industrial processes with imprecise data	13
Spatiotemporal-response-correlation-based model predictive control of heat conduction temperature field	13
Multi-objective optimization method for cement calcination system based on dual population differential evolution algorithm	13
Predicting goal attainment in process-oriented behavioral interventions using a data-driven system identification approach	13
Condition-driven probabilistic adversarial autoencoder with nonlinear Gaussian feature learning for nonstationary process monitoring	13
ILC-based two-layer strategy for economic performance improvement in industrial MPC systems	13
A predictive control based on decentralized fuzzy inference for a pH neutralization process	13
On Recurrent Neural Networks for learning-based control: Recent results and ideas for future developments	13
A continuous-time LPV models for a biofiltration process in wastewater nitrification — A global approach methodology for parametric estimation	13
Extremum seeking control for optimization of an open-loop grinding mill using grind curves	13
Robust state estimation of the anaerobic digestion process for municipal organic waste using an unscented Kalman filter	13
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
Editorial Board	12
A fast, fully distributed nonlinear model predictive control algorithm with parametric sensitivity through Jacobi iteration	12
Comparison of multiple Kalman filter and moving horizon estimator for the anesthesia process	12
Robust data-based predictive control of systems with parametric uncertainties: Paving the way for cooperative learning	12
Control of cascaded series dead-time processes with ideal achievable disturbance attenuation using a predictors-based structure	12
Operational adjustment modeling approach based on Bayesian network transfer learning for new flotation process under scarce data	12
Multivariate batch to batch optimisation of fermentation processes to improve productivity	12
Low-carbon economic operation strategy for a multi-microgrid system considering internal carbon pricing and emission monitoring	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
Nonlinear, robust, interval state estimation for distribution systems based on fixed-point expansion considering uncertainties	11
Interval estimation of sensor fault in rotary steerable drilling tools based on set-membership approach	11
A two-dimensional model predictive iterative learning control based on the set point learning strategy for batch processes	11
Fitting second-order cone constraints to microbial growth data	11
ECCBO: An inherently safe Bayesian optimization with embedded constraint control for real-time process optimization	11
Adaptive design of delay timers for non-stationary process variables based on change detection and Bayesian estimation	11
Optimal production of microalgae in the presence of grazers	11
A novel interactive prognosis framework with nonlinear Wiener process and multi-sensor fusion for remaining useful life prediction	11
Nonintrusive parameter adaptation of chemical process models with reinforcement learning	11
Stability properties of the adaptive horizon multi-stage MPC	11
Nonlinear generalized predictive control with virtual unmodeled dynamics decomposition compensation and data driven	11
A parametric sensitivity method for Arrival Cost design in nonlinear Moving Horizon Estimation	11
Slowness or Autocorrelation? A serial correlation feature analysis method and its application in process monitoring	11
A physics-based multi-regime approach for estimation of head losses in operating hydropower plants	11
Editorial Board	11
Geometric constructive network with block increments for lightweight data-driven industrial process modeling	11
Transformed inputs for linearization, decoupling and feedforward control	11
SAFE-OCC: A novelty detection framework for Convolutional Neural Network sensors and its application in process control	10
Editorial Board	10
Perspectives on nonstationary process monitoring in the era of industrial artificial intelligence	10
Editorial Board	10
A robust optimization approach for steeling-continuous casting charge batch planning with uncertain slab weight	10
Economic Oriented Dynamic Matrix Control of Wastewater Treatment Plants	10
Robust identification of linear parameter-varying dual-rate system with non-stationary heavy-tailed noise	10
Computationally efficient solution of mixed integer model predictive control problems via machine learning aided Benders Decomposition	10
A missing data imputation method for industrial soft sensor modeling	10
Enhancing hierarchical learning of real-time optimization and model predictive control for operational performance	10
Gaussian mixture TimeVAE for industrial soft sensing with deep time series decomposition and generation	10
Concurrent analysis of static deviation and dynamic oscillation for momentum wheel bearing health monitoring and prognostication	10
Sensor network design for post-combustion CO2	10
Editorial Board	10
Data-driven identification and comparison of full multivariable models for propofol–remifentanil induced general anesthesia	10
Reinforcement learning based iterative learning control for nonlinear batch process with non-repetitive uncertainty via Koopman operator	9
Just-in-time based soft sensors for process industries: A status report and recommendations	9

Closed-loop real-time optimization for unsteady operating production systems	9
Discrepancy-based control of particle processes	9
A stable Lasso algorithm for inferential sensor structure learning and parameter estimation	9
Finding trustworthy neighbors: Graph aided federated learning for few-shot industrial fault diagnosis with data heterogeneity	9
Monitoring the operating state of crystal growth process based on digital twin model	9
Robust multi-mode probabilistic slow feature analysis with application to fault detection	9
A model-based supersaturation estimator (inferential or soft-sensor) for industrial sugar crystallization process	9
Stiction parameter identification for pneumatic valves with a simultaneous approach	9
Tractable global solutions to chance-constrained Bayesian optimal experiment design for arbitrary prior and noise distributions	9
Tomography-assisted control for the microwave drying process of polymer foams	9
Smart batch process: The evolution from 1D and 2D to new 3D perspectives in the era of Big Data	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
Deep learning-based model predictive control with exponential weighting strategy and its application in energy management systems	9
Fault estimation and self-healing control of discrete-time T-S fuzzy model with sensor and actuator faults based on dual observers	9
IBLFs-based adaptive fuzzy control for Continuous Stirred Tank Reactors with full state constraints and actuator faults	9
Data-driven inference of bioprocess models: A low-rank matrix approximation approach	9
Economic model predictive control for energy management of a microgrid connected to the main electrical grid	9
New inversion methods for the single/multi-shape CLD-to-PSD problem with spheroid particles	9
Output feedback based robust iterative learning control via a heuristic approach for batch processes with time-varying state delays and uncertainties	9
Efficient adaptive deep gradient RBF network for multi-output nonlinear and nonstationary industrial processes	9
Multi time scale inception-time network for soft sensor of blast furnace ironmaking process	9