Journal of Process Control

Article	Citations
Adaptive data-driven design of fault-tolerant control systems with unknown dynamics	112
Process monitoring using causal graphical models, with application to clogging detection in steel continuous casting	78
Automated search of process control limits for fault detection in time series data	73
Editorial Board	54
Editorial Board	53
Enhanced pressure control system for the vacuum vessel of Damavand Tokamak using PID and multiple model control	50
A recurrent neural network-based approach for joint chance constrained stochastic optimal control	45
Constrained model predictive control of an industrial high-rate thickener	40
Editorial Board	39
Imitation of piping warm-up operation and estimation of operational intention by inverse reinforcement learning	38
Performance-driven semiconductor silicon crystal quality control	37
Editorial Board	35
Nonlinear-Control-Oriented Modeling of the Multi-Variable Underground Coal Gasification Process for UCG Project Thar: A Machine Learning Perspective	35
Editorial Board	35
Editorial Board	35
Control of cascaded series dead-time processes with ideal achievable disturbance attenuation using a predictors-based structure	33
Multivariate/minor fault diagnosis with severity level based on Bayesian decision theory and multidimensional RBC	33
Dynamic transfer partial least squares for domain adaptive regression	31
ANN model adaptation algorithm based on extended Kalman filter applied to pH control using MPC	30
Wiener models robust identification of multi-rate process with time-varying delay using expectation-maximization algorithm	30
Direct approaches for PDE-constrained dynamic optimization based on space–time orthogonal collocation on finite elements	30
Extremum seeking control for optimization of an open-loop grinding mill using grind curves	30
Adaptive multi-task optimization strategy for wastewater treatment process	29
Multivariate batch to batch optimisation of fermentation processes to improve productivity	28
A local–global transformer for distributed monitoring of multi-unit nonlinear processes	26

Condition-driven probabilistic adversarial autoencoder with nonlinear Gaussian feature learning for nonstationary process monitoring	26
Hybrid method for multi-rate refined oil pumping station system unsteady state estimation with bad data attacks	25
Simultaneous and sequential state and parameter estimation using receding-horizon nonlinear Kalman filter	24
Model predictive control of feed rate for stabilizing and enhancing biogas production in anaerobic digestion under meteorological fluctuations	24
Operational adjustment modeling approach based on Bayesian network transfer learning for new flotation process under scarce data	24
Transfer Learning in wastewater treatment plants control: Measuring the transfer suitability	24
Novel complex-valued long short-term memory network integrating variational mode decomposition for soft sensor	23
Hierarchical nonlinear model predictive control with multi-time-scale for wastewater treatment process	23
Long–short-term memory encoder–decoder with regularized hidden dynamics for fault detection in industrial processes	23
Virtual unmodeled dynamic and data-driven nonlinear robust predictive control	22
Convex reformulations for self-optimizing control optimization problem: Linear Matrix Inequality approach	22
Editorial Board	22
Fault-tolerant safe control for water networks: A backstepping neural control barrier function approach	22
Design of functional observers for fault detection and isolation in nonlinear systems in the presence of noises	22
ANFIS and Takagi–Sugeno interval observers for fault diagnosis in bioprocess system	21
Experimental validation of an interval observer-based sensor fault detection strategy applied to a biohydrogen production dark fermenter	21
Optimal output-feedback temperature regulation of a catalytic reverse flow reactor PDEs model	21
A robust model predictive control algorithm for input–output LPV systems using parameter extrapolation	21
Tuning of fuzzy controller with arbitrary triangular input fuzzy sets based on proximal policy optimization for time-delays system	21
Study of parabolic trough collector with crucial analysis on controller and estimator with variable mirror efficiency	21
Modified active disturbance rejection control based on gain scheduling for circulating fluidized bed units	20
Global self-optimizing control of batch processes	20
MPC closed-loop identification without excitation	20
Predicting goal attainment in process-oriented behavioral interventions using a data-driven system identification approach	20
Robust closed-loop dynamic real-time optimization	20
Quasi-online failure times identification of mobile heat sources in 2D geometry	19
Combined optimal sensor network design and self-optimizing control with application in a typical sugarcane mill	18
Optimal production of microalgae in the presence of grazers	18
Error-feedback temperature regulation for a reverse flow reactor driven by a distributed parameter exosystem	18
Autoencoder embedded dictionary learning for nonlinear industrial process fault diagnosis	18
Modeling and Bayesian inference for processes characterized by abrupt variations	18
Steady-state real-time optimization using transient measurements and approximated Hammerstein dynamic model: A proof of concept in an experimental rig	18
Multi-objective optimal scheduling of laminar cooling water supply system for hot rolling mills driven by digital twin for energy-saving	18
Dynamic optimization and nonlinear model predictive control of a semi-batch epoxidation process	18
A continuous-time LPV models for a biofiltration process in wastewater nitrification — A global approach methodology for parametric estimation	18
Iterative learning robust MPC hybrid fault-tolerant control for multi-phase batch processes with asynchronous switching	18
A stochastic approach for the solution of single and multi–objective optimisation problems of biological processes in sequencing batch reactor	17
Real-time optimization modifier adaptation approach using quadratic approximation of the plant-model mismatch function	17
Robust data-based predictive control of systems with parametric uncertainties: Paving the way for cooperative learning	17
High-dimensional, slow-time-varying process monitoring technique based on adaptive eigen subspace extraction method	17
A novel performance assessment method of the carbon efficiency for iron ore sintering process	17
Multi-rate Gaussian Bayesian network soft sensor development with noisy input and missing data	17
Optimal control problems of a reaction–diffusion ecological model with a protection zone	17
Industrial process fault detection based on KGLPP model with Cam weighted distance	17
Adaptive predictive control of a fan-ventilated tunnel greenhouse with evaporative cooling	17
ILC-based two-layer strategy for economic performance improvement in industrial MPC systems	16
Markov Chain approach to get control limits for a Shewhart Control Chart to monitor the mean of a Discrete Weibull distribution	16
Enhanced multicorrelation block process monitoring and abnormity root cause analysis for distributed industrial process: A visual data-driven approach	16
Adversarial smoothing tri-regression for robust semi-supervised industrial soft sensor	15
Identifiable prediction animal model for the bi-hormonal intraperitoneal artificial pancreas	15

Spatiotemporal-response-correlation-based model predictive control of heat conduction temperature field	15
Observer design for a nonlinear heat equation: Application to semiconductor wafer processing	15
Comparison of multiple Kalman filter and moving horizon estimator for the anesthesia process	15
Latent variable modeling and state estimation of non-stationary processes driven by monotonic trends	15
Spectral radius-based interval principal component analysis (SR-IPCA) for fault detection in industrial processes with imprecise data	14
Saturated output-feedback control and state estimation of a class of exothermic tubular reactors	14
Meta-reinforcement learning for the tuning of PI controllers: An offline approach	14
Deep learning-based model predictive control for real-time supply chain optimization	14
Detection of downhole incidents for complex geological drilling processes using amplitude change detection and dynamic time warping	14
Soft-sensor design via task transferred just-in-time-learning coupled transductive moving window learner	14
Learning of model-plant mismatch map via neural network modeling and its application to offset-free model predictive control	14
Simultaneous design and nonlinear model predictive control under uncertainty: A back-off approach	14
A fast, fully distributed nonlinear model predictive control algorithm with parametric sensitivity through Jacobi iteration	14
Sliding window neural network based sensing of bacteria in wastewater treatment plants	14
Differentiable predictive control: Deep learning alternative to explicit model predictive control for unknown nonlinear systems	14
Scheduling tank trucks at a fuel distribution terminal using max-plus model-based predictive control	14
Robust state estimation of the anaerobic digestion process for municipal organic waste using an unscented Kalman filter	14
A fault-injection-based approach to leak localization in water distribution networks using an ensemble model of Bayesian classifiers	14
Two-dimensional multiphase batch process monitoring based on sparse canonical variate analysis	14
A two-phase soft sensor modeling framework for quality prediction in industrial processes with missing data	14
Developing accurate data-driven soft-sensors through integrating dynamic kernel slow feature analysis with neural networks	13
Distributed process monitoring based on joint mutual information and projective dictionary pair learning	13
Editorial Board	13
Data-knowledge-driven distributed monitoring for large-scale processes based on digraph	13
Enhanced MPC based on unknown state estimation and control compensation	12
Fault diagnosis for dynamic system based on the independent latent space reconstruction of generative adversarial network	12
Event-triggered economic MPC with relaxed contractive constraints	12
A nonlinear disturbance observer for sliding mode control of surge in centrifugal compressors via TCV actuator	12
An improved Hammerstein system identification method using Stein Variational Inference and sampling technology	12
SA-MSIFF: Soft sensing the cement f-CaO content with a self-adaptive multisource information fusion framework in clinker burning process	12
A model-free-based control chart for batch process using U-statistics	12
Simultaneous online model identification and production optimization using modifier adaptation	12
Novel two-dimensional off-policy Q-learning method for output feedba	12
On dual-loop model-free adaptive iterative learning control and its application	12
Editorial Board	11
On the update of algebraic states during state estimation of differential–algebraic equation (DAE) systems	11
Distributed parameter modeling of fluid transmission lines	11
Fixed-time active fault-tolerant control for a class of nonlinear systems with intermittent faults and input saturation	11
Editorial Board	11
Editorial Board	11
A framework for exergy analysis of process control systems	11
Model-based dynamic sliding mode control and adaptive Kalman filter design for boiler-turbine energy conversion system	11
Stability properties of the adaptive horizon multi-stage MPC	11
On timeline of enhancing testing-capacity of COVID-19: A case study via an optimal replacement model	11
Editorial Board	11
Editorial Board	10
Editorial Board	10
Development of feed-forward model predictive control for applications in biomass bubbling fluidized bed boilers	10
A novel dynamic model for the online prediction of rate of penetration and its industrial application to a drilling process	10
Fault diagnosis based on feature clustering of time series data for loss and kick of drilling process	10
Development and identification of a reduced-order dynamic model for wastewater treatment plants	10
Multi-strategy control to extend the feasibility region for robust model predictive control	10
Lyapunov based on-line model reduction and control of semilinear dissipative distributed parameter systems with minimum feedback information	10
A modified Bayesian network to handle cyclic loops in root cause diagnosis of process faults in the chemical process industry	10
Integrating online mineral liberation data into process control and optimisation systems for grinding–separation plants	10
A thermodynamic approach to the stabilization of tubular reactors	10
Low-order dynamical model and distributed coordinated model predictive control for multi-stage belt conveyor systems	10
A probabilistic framework with concurrent analytics of Gaussian process regression and classification for multivariate control performance assessment	10
Fitting second-order cone constraints to microbial growth data	10
A scenario-based framework for the integration of scheduling and control under multiple uncertainties	10
Approaches based on LAMDA control applied to regulate HVAC systems for buildings	10
A novel method for actuator fault detection considering complex operating processes	10
A two-dimensional model predictive iterative learning control based on the set point learning strategy for batch processes	10
Data Science and Model Predictive Control:	10
Editorial Board	10
Novel hierarchical nonlinear control algorithm to improve dissolved oxygen control in biological WWTP	9
A switched system formulation for optimal integration of scheduling and control in multi-product continuous processes	9
Low-carbon economic operation strategy for a multi-microgrid system considering internal carbon pricing and emission monitoring	9
Adaptive temperature model for microalgae cultivation systems	9
Bounded input impulsive control for scheduling therapies	9
Multi-objective reinforcement learning in process control: A goal-oriented approach with adaptive thresholds	9
Real-time control of torch height in NG-GMAW process based on passive vision sensing technology	9
Nonlinear generalized predictive control with virtual unmodeled dynamics decomposition compensation and data driven	9
Closed-loop optimisation of neural networks for the design of feedback policies under uncertainty	9
Interval estimation of sensor fault in rotary steerable drilling tools based on set-membership approach	9
Automatic determination of optimal fault detection filter	9
Applications of Lagrangian relaxation-based algorithms to industrial scheduling problems, especially in production workshop scenarios: A review	9
Moving horizon estimation for bounded noises based on the set-membership approach	9
Novel fault subspace extraction methods for the reconstruction-based fault diagnosis	9
Group-sparsity-enforcing fault discrimination and estimation with dynamic process data	9

State estimation of the time–space propagation of COVID-19 using a distributed parameter observer based on a SEIR-type model	9
Second-order component analysis for fault detection	8
An ETF-based disturbance observer-based control for multivariable processes with time delays	8
Robust probabilistic predictable feature analysis and its application for dynamic process monitoring	8
A novel interactive prognosis framework with nonlinear Wiener process and multi-sensor fusion for remaining useful life prediction	8
Geometric constructive network with block increments for lightweight data-driven industrial process modeling	8
Multiparametric/explicit nonlinear model predictive control for quadratically constrained problems	8
Nonintrusive parameter adaptation of chemical process models with reinforcement learning	8
A priority-aware sequential pattern mining method for detection of compact patterns from alarm floods	8
FPGA-embedded optimization algorithm to maximize the acetate productivity in a dark fermentation process	8
Transformed inputs for linearization, decoupling and feedforward control	8
Robust MPC design for multi-model infinite-dimensional distributed parameter systems	8
Pseudo feedforward dynamic matrix control algorithm for desired closed-loop performance in MPC systems	8
Frequency-based multivariable control design with stability margin constraints: A linear matrix inequality approach	8
A robust supervised subspace learning approach for output-relevant prediction and detection against outliers	8
Novel adaptive fault detection method based on kernel entropy component analysis integrating moving window of dissimilarity for nonlinear dynamic processes	8
Non-smooth integral sliding surface based control for systems with mismatched disturbances	8
Systematic model bank determination approach for nonlinear systems using gap metric and stability margin	8
Semi-infinite programming yields optimal disturbance model for offset-free nonlinear model predictive control	8
Quality-driven deep feature representation learning and its industrial application to soft sensors	8