Journal of Process Control

Article	Citations
Perspectives on nonstationary process monitoring in the era of industrial artificial intelligence	82
A survey and classification of incipient fault diagnosis approaches	70
Graph convolutional network soft sensor for process quality prediction	49
Simplified Granger causality map for data-driven root cause diagnosis of process disturbances	47
An identification algorithm of generalized time-varying systems based on the Taylor series expansion and applied to a pH process	47
Smart greenhouse control under harsh climate conditions based on data-driven robust model predictive control with principal component analysis and kernel density estimation	45
Monitoring multimode processes: A modified PCA algorithm with continual learning ability	43
A modified Bayesian network to handle cyclic loops in root cause diagnosis of process faults in the chemical process industry	35
On Recurrent Neural Networks for learning-based control: Recent results and ideas for future developments	34
OASIS-P: Operable Adaptive Sparse Identification of Systems for fault Prognosis of chemical processes	33
Enhanced canonical variate analysis with slow feature for dynamic process status analytics	32
Multi-rate Gaussian Bayesian network soft sensor development with noisy input and missing data	30
Dynamic system modelling and process monitoring based on long-term dependency slow feature analysis	29
A novel virtual sample generation method based on a modified conditional Wasserstein GAN to address the small sample size problem in soft sensing	28
Improved model-free adaptive predictive control method for direct data-driven control of a wastewater treatment process with high performance	28
Online reinforcement learning for a continuous space system with experimental validation	28
Fault diagnosis based on feature clustering of time series data for loss and kick of drilling process	28
A multi-rate sampling data fusion method for fault diagnosis and its industrial applications	28
A novel rate of penetration prediction model with identified condition for the complex geological drilling process	28
Distributed data-driven optimal fault detection for large-scale systems	27
Soft-sensor design via task transferred just-in-time-learning coupled transductive moving window learner	27
Designing of non-fragile robust model predictive control for constrained uncertain systems and its application in process control	26
Data-knowledge-driven distributed monitoring for large-scale processes based on digraph	25
A trend-based event-triggering fuzzy controller for the stabilizing control of a large-scale zinc roaster	25
Online deep neural network-based feedback control of a Lutein bioprocess	25

Modeling and application of Czochralski silicon single crystal growth process using hybrid model of data-driven and mechanism-based methodologies	24
Pruning graph convolutional network-based feature learning for fault diagnosis of industrial processes	24
State estimation-based control of COVID-19 epidemic before and after vaccine development	23
Performance-guaranteed adaptive self-healing control for wastewater treatment processes	23
A distributed feedback-based online process optimization framework for optimal resource sharing	23
Decentralized dynamic process monitoring based on manifold regularized slow feature analysis	23
Differentiable predictive control: Deep learning alternative to explicit model predictive control for unknown nonlinear systems	22
Development of offset-free Koopman Lyapunov-based model predictive control and mathematical analysis for zero steady-state offset condition considering influence of Lyapunov constraints on equilibrium	22
Adversarial smoothing tri-regression for robust semi-supervised industrial soft sensor	22
A novel dynamic model for the online prediction of rate of penetration and its industrial application to a drilling process	22
A novel hybrid analysis and modeling approach applied to aluminum electrolysis process	22
Bayesian network for dynamic variable structure learning and transfer modeling of probabilistic soft sensor	21
A comprehensive review on Advanced Process Control of cement kiln process with the focus on MPC tuning strategies	21
Multivariate/minor fault diagnosis with severity level based on Bayesian decision theory and multidimensional RBC	21
Industrial process fault detection based on deep highly-sensitive feature capture	21
Data-knowledge-driven diagnosis method for sludge bulking of wastewater treatment process	20
The optimal detuning approach based centralized control design for MIMO processes	20
Trajectory-based operation monitoring of transition procedure in multimode process	19
Repetitive process based indirect-type iterative learning control for batch processes with model uncertainty and input delay	19
Weighted sensitivity design of multivariable PID controllers via a new iterative LMI approach	19
Long–short-term memory encoder–decoder with regularized hidden dynamics for fault detection in industrial processes	19
Robust online scheduling for optimal short-term operation of cascaded hydropower systems under uncertainty	19
Autoencoder embedded dictionary learning for nonlinear industrial process fault diagnosis	18
Flexible Clockwork Recurrent Neural Network for multirate industrial soft sensor	17
A novel AdaBoost ensemble model based on the reconstruction of local tangent space alignment and its application to multiple faults recognition	17
Model predictive control using MISO approach for drug co-administration in anesthesia	17
Sliding window neural network based sensing of bacteria in wastewater treatment plants	17
A new Sliding Mode Control tuning approach for second-order inverse-response plus variable dead time processes	17
Chance constrained policy optimization for process control and optimization	17
Distributed model predictive control using optimality condition decomposition and community detection	17
Hierarchical nonlinear model predictive control with multi-time-scale for wastewater treatment process	17
Model predictive control paradigms for fish growth reference tracking in precision aquaculture	17
Concurrent analytics of temporal information and local correlation for meticulous quality prediction of industrial processes	17
Performance improvement of an air-to-water heat pump through linear time-varying MPC with adaptive COP predictor	17
Linear and nonlinear hierarchical multivariate time delay analytics for dynamic modeling and process monitoring	16
Novel hierarchical nonlinear control algorithm to improve dissolved oxygen control in biological WWTP	16
Gaussian mixture continuously adaptive regression for multimode processes soft sensing under time-varying virtual drift	16
Meta-reinforcement learning for the tuning of PI controllers: An offline approach	16
A practical physical watermarking approach to detect replay attacks in a CPS	16
Generalized moving variance filters for industrial alarm systems	16
Dissipativity-based distributed fault diagnosis for plantwide chemical processes	16
Transfer learning for nonlinear batch process operation optimization	15
Control of nonlinear jacketed continuous stirred tank reactor using different control structures	15
Individualized PID tuning for maintenance of general anesthesia with propofol and remifentanil coadministration	15
A distribution independent data-driven design scheme of optimal dynamic fault detection systems	15
Hybrid approach integrating case-based reasoning and Bayesian network for operational adjustment in industrial flotation process	15
FedTMI: Knowledge aided federated transfer learning for industrial missing data imputation	15
A hybrid model combining mechanism with semi-supervised learning and its application for temperature prediction in roller hearth kiln	15
Developing accurate data-driven soft-sensors through integrating dynamic kernel slow feature analysis with neural networks	15
Nash equilibrium-based distributed predictive control strategy for thickness and tension control on tandem cold rolling system	15

Multi-objective collaborative optimization in cement calcination process: A time domain rolling optimization method based on Jaya algorithm	15
State-of-charge dependent equivalent circuit model identification for batteries using sparse Gaussian process regression	15
Distributed process monitoring based on joint mutual information and projective dictionary pair learning	15
Real-time dynamic prediction model of carbon efficiency with working condition identification in sintering process	14
An intelligent decision-making strategy based on the forecast of abnormal operating mode for iron ore sintering process	14
Optimized control strategy based on EPCH and DBMP algorithms for quadruple-tank liquid level system	14
ANN model adaptation algorithm based on extended Kalman filter applied to pH control using MPC	14
Steady-state real-time optimization using transient measurements in the absence of a dynamic mechanistic model: A framework of HRTO integrated with Adaptive Self-Optimizing IHMPC	14
Joint recurrence based root cause analysis of nonlinear multivariate chemical processes	14
A switched system formulation for optimal integration of scheduling and control in multi-product continuous processes	14
A robust hybrid observer for monitoring high-cell density cultures exhibiting overflow metabolism	14
Parameter estimation based robust liquid level control of quadruple tank system — Second order sliding mode approach	14
Comparison of additive and multiplicative feedforward control	14
Active multiplicative cyberattack detection utilizing controller switching for process systems	13
A method for detecting causal relationships between industrial alarm variables using Transfer Entropy and K2 algorithm	13
Incipient fault detection for dynamic chemical processes based on enhanced CVDA integrated with probability information and fault-sensitive features	13
Two-dimensional multiphase batch process monitoring based on sparse canonical variate analysis	13
Dynamic process monitoring based on canonical global and local preserving projection analysis	13
Meticulous process monitoring with multiscale convolutional feature extraction	13
Steady-state real-time optimization using transient measurements on an experimental rig	13
Simultaneous design and nonlinear model predictive control under uncertainty: A back-off approach	13
Image-based model predictive control via dynamic mode decomposition	13
A novel kernel dynamic inner slow feature analysis method for dynamic nonlinear process concurrent monitoring of operating point deviations and process dynamics anomalies	13
Spectral radius-based interval principal component analysis (SR-IPCA) for fault detection in industrial processes with imprecise data	13
Fault detection and diagnosis of batch process dynamics using ARMA-based control charts	12
Multiparametric/explicit nonlinear model predictive control for quadratically constrained problems	12
Design of delay timers based on estimated probability mass functions of alarm durations	12
Quantitative diagnosis method of the sucker rod pump system based on the fault mechanism and inversion algorithm	12
Process monitoring using causal graphical models, with application to clogging detection in steel continuous casting	12
Sensor fusion based on Extended and Unscented Kalman Filter for bioprocess monitoring	12
Just-in-time based soft sensors for process industries: A status report and recommendations	12
Detection of downhole incidents for complex geological drilling processes using amplitude change detection and dynamic time warping	12
Physics-informed recurrent neural network modeling for predictive control of nonlinear processes	12
Dynamic machine learning-based optimization algorithm to improve boiler efficiency	11
Machine learning-based data-driven robust optimization approach under uncertainty	11
Multi-source unsupervised soft sensor based on joint distribution alignment and mapping structure preservation	11
Multi-scale Transformer-CNN domain adaptation network for complex processes fault diagnosis	11
A predictor for dead-time systems based on the Kalman Filter for improved disturbance rejection and robustness	11
Off-policy reinforcement learning-based novel model-free minmax fault-tolerant tracking control for industrial processes	11
Identification based fault detection: Residual selection and optimal filter	11
Data-driven modeling of product crystal size distribution and optimal input design for batch cooling crystallization processes	10
Active nonstationary variables selection based just-in-time co-integration analysis and slow feature analysis monitoring approach for dynamic processes	10
Variational Bayesian State Space Model for dynamic process fault detection	10
Observer-based control of vertical penetration rate in rotary drilling systems	10
A robust supervised subspace learning approach for output-relevant prediction and detection against outliers	10
Enhanced multicorrelation block process monitoring and abnormity root cause analysis for distributed industrial process: A visual data-driven approach	10
Dynamic transfer partial least squares for domain adaptive regression	10
Dynamic real-time optimization for nonlinear systems with Lyapunov stabilizing MPC	10
Dynamic transfer soft sensor for concept drift adaptation	10
Leak diagnosis for pipelines with multiple branches based on model similarity	10
A stabilizing predictive controller with implicit feedforward compensation for stable and time-delayed systems	10
Transformed inputs for linearization, decoupling and feedforward control	10
Industrial process fault detection based on KGLPP model with Cam weighted distance	10
Coordinated control for Air Handling Unit and Variable Air Volume boxes in multi-zone HVAC system	10
A multigroup framework for fault detection and diagnosis in large-scale multivariate systems	10
Electrolyte flow rate control for vanadium redox flow batteries using the linear parameter varying framework	10
Integrating online mineral liberation data into process control and optimisation systems for grinding–separation plants	10
Adaptive multi-task optimization strategy for wastewater treatment process	10
Differential dissipativity based distributed MPC for flexible operation of nonlinear plantwide systems	10
ILC-based two-layer strategy for economic performance improvement in industrial MPC systems	9
Potential of model predictive control of a polder water system including pumps, weirs and gates	9
Contraction analysis and control synthesis for discrete-time nonlinear processes	9
Multi-stage scenario-based MPC for short term oil production optimization under the presence of uncertainty	9
Economic model predictive control for energy management of a microgrid connected to the main electrical grid	9
Novel adaptive fault detection method based on kernel entropy component analysis integrating moving window of dissimilarity for nonlinear dynamic processes	9
A probabilistic framework with concurrent analytics of Gaussian process regression and classification for multivariate control performance assessment	9
Condition-driven probabilistic adversarial autoencoder with nonlinear Gaussian feature learning for nonstationary process monitoring	9
Dynamic data reconciliation to enhance the performance of feedforward/feedback control systems with measurement noise	9
Concurrent auto-regressive latent variable model for dynamic anomaly detection	9
Optimizing design for continuous conversion of glycerol to 1,3-propanediol using discrete-valued optimal control	9
Root cause diagnosis in multivariate time series based on modified temporal convolution and multi-head self-attention	9
Development of feed-forward model predictive control for applications in biomass bubbling fluidized bed boilers	9
Learning of model-plant mismatch map via neural network modeling and its application to offset-free model predictive control	9
Experimental validation of an interval observer-based sensor fault detection strategy applied to a biohydrogen production dark fermenter	9
Performance assessment method of dynamic process based on SFA-GPR	9
A combined experimental-modeling approach for turbidity removal optimization in a coagulation–flocculation unit of a drinking water treatment plant	9
Iterative learning model predictive control for multivariable nonlinear batch processes based on dynamic fuzzy PLS model	9
Koopman-based data-driven control for continuous fluidized bed spray granulation with screen-mill-cycle	9
Novel fault subspace extraction methods for the reconstruction-based fault diagnosis	9
Multi-objective reinforcement learning for fed-batch fermentation process control	8

Discrete-time modeling and output regulation of gas pipeline networks	8
Zero-dynamics attacks on networked control systems	8
Real-time estimation of quality-related variable for dynamic and non-Gaussian process based on semisupervised Bayesian HMM	8
Novel two-dimensional off-policy Q-learning method for output feedba	8
Root cause diagnosis for process faults based on multisensor time-series causality discovery	8
A robust model predictive control with constraint modification for gas lift allocation optimization	8
Unsupervised isolation of abnormal process variables using sparse autoencoders	8
A novel mass flow controller for tandem hot rolling mills	8
Efficient adaptive deep gradient RBF network for multi-output nonlinear and nonstationary industrial processes	8
Convex reformulations for self-optimizing control optimization problem: Linear Matrix Inequality approach	8
From oscillatory to non-oscillatory disturbances: A comparative review of root cause analysis methods	8
Interpret what a Convolutional Neural Network learns for fault detection and diagnosis in process systems	8
An intelligent monitoring model for greenhouse microclimate based on RBF Neural Network for optimal setpoint detection	8
Optimal regimes of heavy oil transportation through a heated pipeline	8
Robust H∞	8
Fault diagnosis for dynamic system based on the independent latent space reconstruction of generative adversarial network	8
Novel complex-valued long short-term memory network integrating variational mode decomposition for soft sensor	8
Nonlinear model predictive control of organic Rankine cycles for automotive waste heat recovery: Is it worth the effort?	8