Journal of Process Control

Article	Citations
One-dimensional convolutional auto-encoder-based feature learning for fault diagnosis of multivariate processes	104
Process structure-based recurrent neural network modeling for model predictive control of nonlinear processes	84
Deep learning for fault-relevant feature extraction and fault classification with stacked supervised auto-encoder	82
Rebooting data-driven soft-sensors in process industries: A review of kernel methods	78
An optimized long short-term memory network based fault diagnosis model for chemical processes	66
Cloud-based implementation of white-box model predictive control for a GEOTABS office building: A field test demonstration	61
A survey and classification of incipient fault diagnosis approaches	54
Perspectives on nonstationary process monitoring in the era of industrial artificial intelligence	50
Manifold regularized stacked autoencoders-based feature learning for fault detection in industrial processes	47
Recursive cointegration analytics for adaptive monitoring of nonstationary industrial processes with both static and dynamic variations	44
A model-based deep reinforcement learning method applied to finite-horizon optimal control of nonlinear control-affine system	41
The integration of scheduling and control: Top-down vs. bottom-up	41
Simplified Granger causality map for data-driven root cause diagnosis of process disturbances	38
Information concentrated variational auto-encoder for quality-related nonlinear process monitoring	37
Smart greenhouse control under harsh climate conditions based on data-driven robust model predictive control with principal component analysis and kernel density estimation	36
Monitoring multimode processes: A modified PCA algorithm with continual learning ability	35
Application of Koopman operator for model-based control of fracture propagation and proppant transport in hydraulic fracturing operation	34
Output-relevant Variational autoencoder for Just-in-time soft sensor modeling with missing data	33
Enhanced canonical variate analysis with slow feature for dynamic process status analytics	29
Refining data-driven soft sensor modeling framework with variable time reconstruction	29
Monitoring and prediction of big process data with deep latent variable models and parallel computing	29
A modified Bayesian network to handle cyclic loops in root cause diagnosis of process faults in the chemical process industry	28
Laplacian regularized robust principal component analysis for process monitoring	28
Artificial pancreas under stable pulsatile MPC: Improving the closed-loop performance	28
Online reinforcement learning for a continuous space system with experimental validation	27

A hybrid framework for process monitoring: Enhancing data-driven methodologies with state and parameter estimation	26
OASIS-P: Operable Adaptive Sparse Identification of Systems for fault Prognosis of chemical processes	25
Gaussian Discriminative Analysis aided GAN for imbalanced big data augmentation and fault classification	25
Parametric optimization and control for a smart Proton Exchange Membrane Water Electrolysis (PEMWE) system	24
On Recurrent Neural Networks for learning-based control: Recent results and ideas for future developments	24
Accelerating nonlinear model predictive control through machine learning	23
Soft-sensor design via task transferred just-in-time-learning coupled transductive moving window learner	23
Dynamic system modelling and process monitoring based on long-term dependency slow feature analysis	23
Multi-rate Gaussian Bayesian network soft sensor development with noisy input and missing data	23
SISO approaches for linear programming based methods for tuning decentralized PID controllers	23
Designing of non-fragile robust model predictive control for constrained uncertain systems and its application in process control	22
State estimation-based control of COVID-19 epidemic before and after vaccine development	22
Fault diagnosis based on feature clustering of time series data for loss and kick of drilling process	21
Modular Design Optimization using Machine Learning-based Flexibility Analysis	21
The autonomous industrial plant – future of process engineering, operations and maintenance	21
Production scheduling in dynamic real-time optimization with closed-loop prediction	21
An on-line framework for monitoring nonlinear processes with multiple operating modes	20
Latent variable iterative learning model predictive control for multivariable control of batch processes	20
Fault detection for uncertain LPV systems using probabilistic set-membership parity relation	20
A multi-rate sampling data fusion method for fault diagnosis and its industrial applications	20
Online deep neural network-based feedback control of a Lutein bioprocess	19
A novel rate of penetration prediction model with identified condition for the complex geological drilling process	19
Data-knowledge-driven distributed monitoring for large-scale processes based on digraph	19
Decentralized dynamic process monitoring based on manifold regularized slow feature analysis	19
A novel virtual sample generation method based on a modified conditional Wasserstein GAN to address the small sample size problem in soft sensing	19
Modeling and application of Czochralski silicon single crystal growth process using hybrid model of data-driven and mechanism-based methodologies	19
Distributed data-driven optimal fault detection for large-scale systems	19
Multivariate/minor fault diagnosis with severity level based on Bayesian decision theory and multidimensional RBC	19
Trajectory-based operation monitoring of transition procedure in multimode process	18
Stochastic model predictive control for central HVAC plants	18
An identification algorithm of generalized time-varying systems based on the Taylor series expansion and applied to a pH process	18
Move blocked model predictive control with improved optimality using semi-explicit approach for applying time-varying blocking structure	18
Industrial process fault detection based on deep highly-sensitive feature capture	18
Graph convolutional network soft sensor for process quality prediction	18
A wave propagation approach for reduced dynamic modeling of distillation columns: Optimization and control	18
A simple model-free butterfly shape-based detection (BSD) method integrated with deep learning CNN for valve stiction detection and quantification	18
Pruning graph convolutional network-based feature learning for fault diagnosis of industrial processes	17
A reactive scheduling and control framework for integration of renewable energy sources with a reformer-based fuel cell system and an energy storage device	17
A distributed feedback-based online process optimization framework for optimal resource sharing	17
A trend-based event-triggering fuzzy controller for the stabilizing control of a large-scale zinc roaster	17
Distributed model predictive control using optimality condition decomposition and community detection	16
Performance-guaranteed adaptive self-healing control for wastewater treatment processes	16
Multi-input single-output control for extending the operating range: Generalized split range control using the baton strategy	16
The optimal detuning approach based centralized control design for MIMO processes	16
Hybrid method based on particle filter and NARX for real-time flow rate estimation in multi-product pipelines	16
Robust online scheduling for optimal short-term operation of cascaded hydropower systems under uncertainty	16
A novel AdaBoost ensemble model based on the reconstruction of local tangent space alignment and its application to multiple faults recognition	15
Prescribed performance adaptive DSC for a class of time-delayed switched nonlinear systems in nonstrict-feedback form: Application to a two-stage chemical reactor	15
Autoencoder embedded dictionary learning for nonlinear industrial process fault diagnosis	15
Nash equilibrium-based distributed predictive control strategy for thickness and tension control on tandem cold rolling system	15

Generalized moving variance filters for industrial alarm systems	15
Improved model-free adaptive predictive control method for direct data-driven control of a wastewater treatment process with high performance	15
Linear and nonlinear hierarchical multivariate time delay analytics for dynamic modeling and process monitoring	15
A novel dynamic model for the online prediction of rate of penetration and its industrial application to a drilling process	15
Adversarial smoothing tri-regression for robust semi-supervised industrial soft sensor	15
Bayesian network for dynamic variable structure learning and transfer modeling of probabilistic soft sensor	14
A novel hybrid analysis and modeling approach applied to aluminum electrolysis process	14
Optimal feedback control of batch self-assembly processes using dynamic programming	14
Differentiable predictive control: Deep learning alternative to explicit model predictive control for unknown nonlinear systems	14
Chance constrained policy optimization for process control and optimization	14
Data-knowledge-driven diagnosis method for sludge bulking of wastewater treatment process	14
A new Sliding Mode Control tuning approach for second-order inverse-response plus variable dead time processes	14
Weighted sensitivity design of multivariable PID controllers via a new iterative LMI approach	14
Performance improvement of an air-to-water heat pump through linear time-varying MPC with adaptive COP predictor	14
A distribution independent data-driven design scheme of optimal dynamic fault detection systems	14
A filtered high gain observer for a class of non uniformly observable systems – Application to a phytoplanktonic growth model	13
Dissipativity-based distributed fault diagnosis for plantwide chemical processes	13
A practical physical watermarking approach to detect replay attacks in a CPS	13
Concurrent analytics of temporal information and local correlation for meticulous quality prediction of industrial processes	13
Novel hierarchical nonlinear control algorithm to improve dissolved oxygen control in biological WWTP	13
Meta-reinforcement learning for the tuning of PI controllers: An offline approach	13
Control of nonlinear jacketed continuous stirred tank reactor using different control structures	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
Comparison of additive and multiplicative feedforward control	13
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
Joint recurrence based root cause analysis of nonlinear multivariate chemical processes	12
Optimized control strategy based on EPCH and DBMP algorithms for quadruple-tank liquid level system	12
ANN model adaptation algorithm based on extended Kalman filter applied to pH control using MPC	12
Hierarchical nonlinear model predictive control with multi-time-scale for wastewater treatment process	12
A hybrid model combining mechanism with semi-supervised learning and its application for temperature prediction in roller hearth kiln	12
Multiscale model predictive control of battery systems for frequency regulation markets using physics-based models	12
Nash-based robust distributed model predictive control for large-scale systems	12
Soft sensor design for variable time delay and variable sampling time	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
Distributed process monitoring based on joint mutual information and projective dictionary pair learning	12
Transfer learning for nonlinear batch process operation optimization	11
A method for detecting causal relationships between industrial alarm variables using Transfer Entropy and K2 algorithm	11
Detection and detectability of intermittent faults based on moving average <	11
Simultaneous design and nonlinear model predictive control under uncertainty: A back-off approach	11
A robust hybrid observer for monitoring high-cell density cultures exhibiting overflow metabolism	11
Decomposition of integrated scheduling and dynamic optimization problems using community detection	11
Stabilization of an unstable tubular reactor by nonlinear passive output feedback control	11
Sliding window neural network based sensing of bacteria in wastewater treatment plants	11
Model predictive control paradigms for fish growth reference tracking in precision aquaculture	11
Stoichiometry-driven heuristic feedforward control for oxygen supply in a biological gas desulfurization process	11
Detection of downhole incidents for complex geological drilling processes using amplitude change detection and dynamic time warping	11
Multiparametric/explicit nonlinear model predictive control for quadratically constrained problems	10
Active multiplicative cyberattack detection utilizing controller switching for process systems	10
A novel kernel dynamic inner slow feature analysis method for dynamic nonlinear process concurrent monitoring of operating point deviations and process dynamics anomalies	10
Quantitative diagnosis method of the sucker rod pump system based on the fault mechanism and inversion algorithm	10
Integrating online mineral liberation data into process control and optimisation systems for grinding–separation plants	10
Asymptotic tracking and disturbance rejection of time-varying signals with a discontinuous PID controller	10
Real-time dynamic prediction model of carbon efficiency with working condition identification in sintering process	10
An intelligent decision-making strategy based on the forecast of abnormal operating mode for iron ore sintering process	10
Image-based model predictive control via dynamic mode decomposition	10
Separating two species of microalgae in photobioreactors in minimal time	10
State-of-charge dependent equivalent circuit model identification for batteries using sparse Gaussian process regression	10
Differential dissipativity based distributed MPC for flexible operation of nonlinear plantwide systems	10
Dynamic process monitoring based on canonical global and local preserving projection analysis	10
Sensor fusion based on Extended and Unscented Kalman Filter for bioprocess monitoring	10
Robust switched predictive control for multi-phase batch processes with uncertainties and unknown disturbances	10
Identification based fault detection: Residual selection and optimal filter	10
Hybrid approach integrating case-based reasoning and Bayesian network for operational adjustment in industrial flotation process	9
Multi-source unsupervised soft sensor based on joint distribution alignment and mapping structure preservation	9
A recursive modified partial least square aided data-driven predictive control with application to continuous stirred tank heater	9
Optimizing design for continuous conversion of glycerol to 1,3-propanediol using discrete-valued optimal control	9
Koopman-based data-driven control for continuous fluidized bed spray granulation with screen-mill-cycle	9
Industrial process fault detection based on KGLPP model with Cam weighted distance	9
Flexible Clockwork Recurrent Neural Network for multirate industrial soft sensor	9
Fast tunable gradient RBF networks for online modeling of nonlinear and nonstationary dynamic processes	9
A multigroup framework for fault detection and diagnosis in large-scale multivariate systems	9
Leak diagnosis for pipelines with multiple branches based on model similarity	9
Optimal test and sensor selection for active fault diagnosis using integer programming	9
An empirical study of moving horizon closed-loop demand response scheduling	9
FedTMI: Knowledge aided federated transfer learning for industrial missing data imputation	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
Design of delay timers based on estimated probability mass functions of alarm durations	9

Gaussian mixture continuously adaptive regression for multimode processes soft sensing under time-varying virtual drift	9
Incipient fault detection for dynamic chemical processes based on enhanced CVDA integrated with probability information and fault-sensitive features	9
Developing accurate data-driven soft-sensors through integrating dynamic kernel slow feature analysis with neural networks	9
Two-dimensional multiphase batch process monitoring based on sparse canonical variate analysis	8
Observer-based tracker design for discrete-time descriptor systems with constrained inputs	8
Automatic solids feeder using fuzzy control: A tool for fed batch bioprocesses	8
Fault detection and diagnosis of batch process dynamics using ARMA-based control charts	8
Nonlinear model predictive control of organic Rankine cycles for automotive waste heat recovery: Is it worth the effort?	8
Observer-based control of vertical penetration rate in rotary drilling systems	8
Sensor network design based on system-wide reliability criteria. Part II: Formulations and applications	8
Learning of model-plant mismatch map via neural network modeling and its application to offset-free model predictive control	8
Robust model predictive control for a nanofluid based solar thermal power plant	8
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	8
Data-driven modeling of product crystal size distribution and optimal input design for batch cooling crystallization processes	8
Machine learning-based data-driven robust optimization approach under uncertainty	8
A probabilistic framework with concurrent analytics of Gaussian process regression and classification for multivariate control performance assessment	8
A robust supervised subspace learning approach for output-relevant prediction and detection against outliers	8
Spectral radius-based interval principal component analysis (SR-IPCA) for fault detection in industrial processes with imprecise data	8
Dynamic machine learning-based optimization algorithm to improve boiler efficiency	8
Electrolyte flow rate control for vanadium redox flow batteries using the linear parameter varying framework	8
Fault handling in large water networks with online dictionary learning	8
Controllability analysis and optimal control of biomass drying with reduced order models	8
Individualized PID tuning for maintenance of general anesthesia with propofol and remifentanil coadministration	8
Chattering-free model free adaptive sliding mode control for gas collection process with data dropout	8
Multi-objective reinforcement learning for fed-batch fermentation process control	7
Contraction analysis and control synthesis for discrete-time nonlinear processes	7
Adaptive horizon economic nonlinear model predictive control	7
Modelling of methane-rich gas pipeline networks for simulation and control	7
A predictor for dead-time systems based on the Kalman Filter for improved disturbance rejection and robustness	7
Transformed inputs for linearization, decoupling and feedforward control	7
Model predictive control using MISO approach for drug co-administration in anesthesia	7
Condition-driven probabilistic adversarial autoencoder with nonlinear Gaussian feature learning for nonstationary process monitoring	7
Dynamic data reconciliation to enhance the performance of feedforward/feedback control systems with measurement noise	7
Dynamic real-time optimization for nonlinear systems with Lyapunov stabilizing MPC	7
Closed-loop tool face control with the bit off-bottom	7
Discrete-time modeling and output regulation of gas pipeline networks	7
Steady-state real-time optimization using transient measurements on an experimental rig	7
Nonlinear variational Bayesian Student’s-t mixture regression and inferential sensor application with semisupervised data	7
Bounded input impulsive control for scheduling therapies	7
Auto-regressive modeling with dynamic weighted canonical correlation analysis	7
Performance assessment method of dynamic process based on SFA-GPR	7
Weighted part mutual information related component analysis for quality-related process monitoring	7
Coordinated control for Air Handling Unit and Variable Air Volume boxes in multi-zone HVAC system	7
Concurrent auto-regressive latent variable model for dynamic anomaly detection	7
Sensor network design based on system-wide reliability criteria. Part I: Objectives	7
A novel low-order spatiotemporal modeling method for nonlinear distributed parameter systems	7
Serial advanced-multi-step nonlinear model predictive control using an extended sensitivity method	7
Feedforward control of the transverse strip profile in hot-dip galvanizing lines	7
Long–short-term memory encoder–decoder with regularized hidden dynamics for fault detection in industrial processes	7
A comprehensive review on Advanced Process Control of cement kiln process with the focus on MPC tuning strategies	7
3-D online modeling and assessment of operating performance for nonstationary industrial processes with nonlinearity	6
Spatiotemporal kernel-local-embedding modeling approach for nonlinear distributed parameter systems	6
Unsupervised isolation of abnormal process variables using sparse autoencoders	6
Root cause diagnosis in multivariate time series based on modified temporal convolution and multi-head self-attention	6
Real-time estimation of quality-related variable for dynamic and non-Gaussian process based on semisupervised Bayesian HMM	6
A stabilizing predictive controller with implicit feedforward compensation for stable and time-delayed systems	6
Novel fault subspace extraction methods for the reconstruction-based fault diagnosis	6
A quasi-sequential algorithm for PDE-constrained optimization based on space–time orthogonal collocation on finite elements	6
ILC-based two-layer strategy for economic performance improvement in industrial MPC systems	6
Control of a grid assisted PV-H	6
Potential of model predictive control of a polder water system including pumps, weirs and gates	6
Optimal polymer grade transitions for fluidized bed reactors	6
Assessment of alarm systems for mixture processes and intermittent faults	6
Plantwide optimization via real-time optimization with persistent parameter adaptation	6
A stable Lasso algorithm for inferential sensor structure learning and parameter estimation	6
Observability analysis and robust observer design for a continuous yeast culture	6
Dynamic process monitoring based on a time-serial multi-block modeling approach	6
Semi-infinite programming yields optimal disturbance model for offset-free nonlinear model predictive control	6
Enhanced multicorrelation block process monitoring and abnormity root cause analysis for distributed industrial process: A visual data-driven approach	6
Adaptive multi-task optimization strategy for wastewater treatment process	6
An active approach to space-reduced NCO tracking and output feedback optimizing control for batch processes with parametric uncertainty	6
Automated synthesis of multivariate QFT controller and pre-filter for a distillation column with multiple time delays	6
Off-policy reinforcement learning-based novel model-free minmax fault-tolerant tracking control for industrial processes	6
Optimal regimes of heavy oil transportation through a heated pipeline	6
Two-layered dynamic control for simultaneous set-point tracking and improved economic performance	6
Economic model predictive control for energy management of a microgrid connected to the main electrical grid	6
Performance improvement by optimal reset dynamic output feedback control based on model predictive strategy	6
Convex reformulations for self-optimizing control optimization problem: Linear Matrix Inequality approach	6
Process monitoring using causal graphical models, with application to clogging detection in steel continuous casting	6
Simultaneous and sequential state and parameter estimation using receding-horizon nonlinear Kalman filter	6
Development of feed-forward model predictive control for applications in biomass bubbling fluidized bed boilers	5
Novel adaptive fault detection method based on kernel entropy component analysis integrating moving window of dissimilarity for nonlinear dynamic processes	5
Group-sparsity-enforcing fault discrimination and estimation with dynamic process data	5
Control induced instabilities in fluidized bed spray granulation	5
Identifiable prediction animal model for the bi-hormonal intraperitoneal artificial pancreas	5
Novel two-dimensional off-policy Q-learning method for output feedba	5
Eigenspectrum-based extended Luenberger observers for a class of distributed parameter systems	5
A hybrid Gaussian process approach to robust economic model predictive control	5
Calibration and validation for a real-time membrane bioreactor: A sliding window approach	5
Dynamic transfer partial least squares for domain adaptive regression	5
Static pressure set-point reset smoothing scheme based-on improved iterative learning control and variable trajectory for air-conditioning system	5
Output modifier adaptation with filter-based constraints	5
A thermodynamic approach to the stabilization of tubular reactors	5
Experimental validation of an interval observer-based sensor fault detection strategy applied to a biohydrogen production dark fermenter	5
MPC closed-loop identification without excitation	5