Journal of Process Control

Article	Citations
Process structure-based recurrent neural network modeling for model predictive control of nonlinear processes	86
Deep learning for fault-relevant feature extraction and fault classification with stacked supervised auto-encoder	85
Rebooting data-driven soft-sensors in process industries: A review of kernel methods	80
An optimized long short-term memory network based fault diagnosis model for chemical processes	69
A survey and classification of incipient fault diagnosis approaches	57
Perspectives on nonstationary process monitoring in the era of industrial artificial intelligence	56
Manifold regularized stacked autoencoders-based feature learning for fault detection in industrial processes	49
Recursive cointegration analytics for adaptive monitoring of nonstationary industrial processes with both static and dynamic variations	45
The integration of scheduling and control: Top-down vs. bottom-up	42
Simplified Granger causality map for data-driven root cause diagnosis of process disturbances	41
Smart greenhouse control under harsh climate conditions based on data-driven robust model predictive control with principal component analysis and kernel density estimation	38
Information concentrated variational auto-encoder for quality-related nonlinear process monitoring	37
Monitoring multimode processes: A modified PCA algorithm with continual learning ability	37
Output-relevant Variational autoencoder for Just-in-time soft sensor modeling with missing data	36
Application of Koopman operator for model-based control of fracture propagation and proppant transport in hydraulic fracturing operation	34
Enhanced canonical variate analysis with slow feature for dynamic process status analytics	30
Monitoring and prediction of big process data with deep latent variable models and parallel computing	30
Laplacian regularized robust principal component analysis for process monitoring	28
A modified Bayesian network to handle cyclic loops in root cause diagnosis of process faults in the chemical process industry	28
Artificial pancreas under stable pulsatile MPC: Improving the closed-loop performance	28
On Recurrent Neural Networks for learning-based control: Recent results and ideas for future developments	27
A hybrid framework for process monitoring: Enhancing data-driven methodologies with state and parameter estimation	27
An identification algorithm of generalized time-varying systems based on the Taylor series expansion and applied to a pH process	27
Online reinforcement learning for a continuous space system with experimental validation	27
Parametric optimization and control for a smart Proton Exchange Membrane Water Electrolysis (PEMWE) system	26

Multi-rate Gaussian Bayesian network soft sensor development with noisy input and missing data	26
OASIS-P: Operable Adaptive Sparse Identification of Systems for fault Prognosis of chemical processes	25
Soft-sensor design via task transferred just-in-time-learning coupled transductive moving window learner	25
Accelerating nonlinear model predictive control through machine learning	25
Dynamic system modelling and process monitoring based on long-term dependency slow feature analysis	25
Gaussian Discriminative Analysis aided GAN for imbalanced big data augmentation and fault classification	25
Graph convolutional network soft sensor for process quality prediction	24
Production scheduling in dynamic real-time optimization with closed-loop prediction	23
Online deep neural network-based feedback control of a Lutein bioprocess	23
SISO approaches for linear programming based methods for tuning decentralized PID controllers	23
A multi-rate sampling data fusion method for fault diagnosis and its industrial applications	22
Modular Design Optimization using Machine Learning-based Flexibility Analysis	22
State estimation-based control of COVID-19 epidemic before and after vaccine development	22
Designing of non-fragile robust model predictive control for constrained uncertain systems and its application in process control	22
Fault diagnosis based on feature clustering of time series data for loss and kick of drilling process	22
Modeling and application of Czochralski silicon single crystal growth process using hybrid model of data-driven and mechanism-based methodologies	21
Distributed data-driven optimal fault detection for large-scale systems	21
An on-line framework for monitoring nonlinear processes with multiple operating modes	21
Latent variable iterative learning model predictive control for multivariable control of batch processes	21
A novel rate of penetration prediction model with identified condition for the complex geological drilling process	21
Data-knowledge-driven distributed monitoring for large-scale processes based on digraph	21
Performance-guaranteed adaptive self-healing control for wastewater treatment processes	21
A novel virtual sample generation method based on a modified conditional Wasserstein GAN to address the small sample size problem in soft sensing	21
Decentralized dynamic process monitoring based on manifold regularized slow feature analysis	20
Pruning graph convolutional network-based feature learning for fault diagnosis of industrial processes	20
Improved model-free adaptive predictive control method for direct data-driven control of a wastewater treatment process with high performance	20
Stochastic model predictive control for central HVAC plants	20
A novel dynamic model for the online prediction of rate of penetration and its industrial application to a drilling process	20
A distributed feedback-based online process optimization framework for optimal resource sharing	20
Trajectory-based operation monitoring of transition procedure in multimode process	19
A trend-based event-triggering fuzzy controller for the stabilizing control of a large-scale zinc roaster	19
A novel hybrid analysis and modeling approach applied to aluminum electrolysis process	19
Multivariate/minor fault diagnosis with severity level based on Bayesian decision theory and multidimensional RBC	19
Industrial process fault detection based on deep highly-sensitive feature capture	19
Move blocked model predictive control with improved optimality using semi-explicit approach for applying time-varying blocking structure	18
A wave propagation approach for reduced dynamic modeling of distillation columns: Optimization and control	18
Weighted sensitivity design of multivariable PID controllers via a new iterative LMI approach	18
The optimal detuning approach based centralized control design for MIMO processes	17
Prescribed performance adaptive DSC for a class of time-delayed switched nonlinear systems in nonstrict-feedback form: Application to a two-stage chemical reactor	17
Adversarial smoothing tri-regression for robust semi-supervised industrial soft sensor	16
Differentiable predictive control: Deep learning alternative to explicit model predictive control for unknown nonlinear systems	16
Robust online scheduling for optimal short-term operation of cascaded hydropower systems under uncertainty	16
Multi-input single-output control for extending the operating range: Generalized split range control using the baton strategy	16
Distributed model predictive control using optimality condition decomposition and community detection	16
Autoencoder embedded dictionary learning for nonlinear industrial process fault diagnosis	16
Bayesian network for dynamic variable structure learning and transfer modeling of probabilistic soft sensor	15
Gaussian mixture continuously adaptive regression for multimode processes soft sensing under time-varying virtual drift	15
Decomposition of integrated scheduling and dynamic optimization problems using community detection	15
Dissipativity-based distributed fault diagnosis for plantwide chemical processes	15
Nash equilibrium-based distributed predictive control strategy for thickness and tension control on tandem cold rolling system	15

A new Sliding Mode Control tuning approach for second-order inverse-response plus variable dead time processes	15
Concurrent analytics of temporal information and local correlation for meticulous quality prediction of industrial processes	15
Data-knowledge-driven diagnosis method for sludge bulking of wastewater treatment process	15
Linear and nonlinear hierarchical multivariate time delay analytics for dynamic modeling and process monitoring	15
A novel AdaBoost ensemble model based on the reconstruction of local tangent space alignment and its application to multiple faults recognition	15
Generalized moving variance filters for industrial alarm systems	15
Distributed process monitoring based on joint mutual information and projective dictionary pair learning	15
A distribution independent data-driven design scheme of optimal dynamic fault detection systems	14
A practical physical watermarking approach to detect replay attacks in a CPS	14
Multiscale model predictive control of battery systems for frequency regulation markets using physics-based models	14
Performance improvement of an air-to-water heat pump through linear time-varying MPC with adaptive COP predictor	14
Meta-reinforcement learning for the tuning of PI controllers: An offline approach	14
A hybrid model combining mechanism with semi-supervised learning and its application for temperature prediction in roller hearth kiln	14
Comparison of additive and multiplicative feedforward control	14
Sliding window neural network based sensing of bacteria in wastewater treatment plants	14
Chance constrained policy optimization for process control and optimization	14
Hierarchical nonlinear model predictive control with multi-time-scale for wastewater treatment process	14
Multi-objective collaborative optimization in cement calcination process: A time domain rolling optimization method based on Jaya algorithm	13
Parameter estimation based robust liquid level control of quadruple tank system — Second order sliding mode approach	13
Interactions between control and process design under economic model predictive control	13
Robust adaptive fault tolerant control for a process with actuator faults	13
Control of nonlinear jacketed continuous stirred tank reactor using different control structures	13
Joint recurrence based root cause analysis of nonlinear multivariate chemical processes	13
Novel hierarchical nonlinear control algorithm to improve dissolved oxygen control in biological WWTP	13
Transfer learning for nonlinear batch process operation optimization	12
Active multiplicative cyberattack detection utilizing controller switching for process systems	12
Meticulous process monitoring with multiscale convolutional feature extraction	12
A switched system formulation for optimal integration of scheduling and control in multi-product continuous processes	12
Simultaneous design and nonlinear model predictive control under uncertainty: A back-off approach	12
A robust hybrid observer for monitoring high-cell density cultures exhibiting overflow metabolism	12
Soft sensor design for variable time delay and variable sampling time	12
Optimized control strategy based on EPCH and DBMP algorithms for quadruple-tank liquid level system	12
Detection and detectability of intermittent faults based on moving average <	12
Detection of downhole incidents for complex geological drilling processes using amplitude change detection and dynamic time warping	12
Hybrid approach integrating case-based reasoning and Bayesian network for operational adjustment in industrial flotation process	12
A method for detecting causal relationships between industrial alarm variables using Transfer Entropy and K2 algorithm	12
State-of-charge dependent equivalent circuit model identification for batteries using sparse Gaussian process regression	12
ANN model adaptation algorithm based on extended Kalman filter applied to pH control using MPC	12
A novel kernel dynamic inner slow feature analysis method for dynamic nonlinear process concurrent monitoring of operating point deviations and process dynamics anomalies	11
Stoichiometry-driven heuristic feedforward control for oxygen supply in a biological gas desulfurization process	11
An intelligent decision-making strategy based on the forecast of abnormal operating mode for iron ore sintering process	11
Robust switched predictive control for multi-phase batch processes with uncertainties and unknown disturbances	11
Multiparametric/explicit nonlinear model predictive control for quadratically constrained problems	11
Dynamic process monitoring based on canonical global and local preserving projection analysis	11
Model predictive control paradigms for fish growth reference tracking in precision aquaculture	11
A recursive modified partial least square aided data-driven predictive control with application to continuous stirred tank heater	11
Stabilization of an unstable tubular reactor by nonlinear passive output feedback control	11
Fault handling in large water networks with online dictionary learning	11
FedTMI: Knowledge aided federated transfer learning for industrial missing data imputation	10
Image-based model predictive control via dynamic mode decomposition	10
Incipient fault detection for dynamic chemical processes based on enhanced CVDA integrated with probability information and fault-sensitive features	10
Integrating online mineral liberation data into process control and optimisation systems for grinding–separation plants	10
Differential dissipativity based distributed MPC for flexible operation of nonlinear plantwide systems	10
Design of delay timers based on estimated probability mass functions of alarm durations	10
Quantitative diagnosis method of the sucker rod pump system based on the fault mechanism and inversion algorithm	10
Identification based fault detection: Residual selection and optimal filter	10
Two-dimensional multiphase batch process monitoring based on sparse canonical variate analysis	10
Real-time dynamic prediction model of carbon efficiency with working condition identification in sintering process	10
Sensor fusion based on Extended and Unscented Kalman Filter for bioprocess monitoring	10
Fault detection and diagnosis of batch process dynamics using ARMA-based control charts	10
Developing accurate data-driven soft-sensors through integrating dynamic kernel slow feature analysis with neural networks	10
Long–short-term memory encoder–decoder with regularized hidden dynamics for fault detection in industrial processes	10
Leak diagnosis for pipelines with multiple branches based on model similarity	9
Steady-state real-time optimization using transient measurements on an experimental rig	9
Machine learning-based data-driven robust optimization approach under uncertainty	9
Chattering-free model free adaptive sliding mode control for gas collection process with data dropout	9
Industrial process fault detection based on KGLPP model with Cam weighted distance	9
Multi-source unsupervised soft sensor based on joint distribution alignment and mapping structure preservation	9
A multigroup framework for fault detection and diagnosis in large-scale multivariate systems	9
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	9
An empirical study of moving horizon closed-loop demand response scheduling	9
A predictor for dead-time systems based on the Kalman Filter for improved disturbance rejection and robustness	9
A probabilistic framework with concurrent analytics of Gaussian process regression and classification for multivariate control performance assessment	9
Spectral radius-based interval principal component analysis (SR-IPCA) for fault detection in industrial processes with imprecise data	9
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	9
Data-driven modeling of product crystal size distribution and optimal input design for batch cooling crystallization processes	9
Optimizing design for continuous conversion of glycerol to 1,3-propanediol using discrete-valued optimal control	9
Optimal test and sensor selection for active fault diagnosis using integer programming	9
Koopman-based data-driven control for continuous fluidized bed spray granulation with screen-mill-cycle	9
Individualized PID tuning for maintenance of general anesthesia with propofol and remifentanil coadministration	9

A robust supervised subspace learning approach for output-relevant prediction and detection against outliers	9
Fast tunable gradient RBF networks for online modeling of nonlinear and nonstationary dynamic processes	9
Flexible Clockwork Recurrent Neural Network for multirate industrial soft sensor	9
Nonlinear model predictive control of organic Rankine cycles for automotive waste heat recovery: Is it worth the effort?	8
Robust model predictive control for a nanofluid based solar thermal power plant	8
Dynamic machine learning-based optimization algorithm to improve boiler efficiency	8
Controllability analysis and optimal control of biomass drying with reduced order models	8
Sensor network design based on system-wide reliability criteria. Part II: Formulations and applications	8
Performance assessment method of dynamic process based on SFA-GPR	8
Learning of model-plant mismatch map via neural network modeling and its application to offset-free model predictive control	8
Coordinated control for Air Handling Unit and Variable Air Volume boxes in multi-zone HVAC system	8
Observer-based tracker design for discrete-time descriptor systems with constrained inputs	8
Adaptive horizon economic nonlinear model predictive control	8
Automatic solids feeder using fuzzy control: A tool for fed batch bioprocesses	8
Modelling of methane-rich gas pipeline networks for simulation and control	8
Model predictive control using MISO approach for drug co-administration in anesthesia	8
Dynamic real-time optimization for nonlinear systems with Lyapunov stabilizing MPC	8
A comprehensive review on Advanced Process Control of cement kiln process with the focus on MPC tuning strategies	8
Dynamic transfer soft sensor for concept drift adaptation	8
Unsupervised isolation of abnormal process variables using sparse autoencoders	8
Electrolyte flow rate control for vanadium redox flow batteries using the linear parameter varying framework	8
Observer-based control of vertical penetration rate in rotary drilling systems	8
Transformed inputs for linearization, decoupling and feedforward control	8