Pruned tree-structured temporal convolutional networks for quality variable prediction of industrial process

2024-11-1

Low-carbon economic operation strategy for a multi-microgrid system considering internal carbon pricing and emission monitoring

2024-11-1

Multi-view graph convolutional network with comprehensive structural learning: Enhancing dynamics representation for industrial processes

2024-11-1

Full condition monitoring of geological drilling process based on just-in-time learning-aided slow feature analysis

2024-10-1

Adaptive state estimation for Markov jump linear system with unknown measurement loss and transition probability matrix

2024-10-1

Simultaneous interval estimation of actuator fault and state for a class of nonlinear systems by zonotope analysis

2024-10-1

Quality-driven deep feature representation learning and its industrial application to soft sensors

2024-10-1

Editorial Board

2024-10-1

Improved similarity analysis of industrial alarm flood sequences by considering alarm correlations

2024-10-1

Optimal switching of MPC cost function for changing active constraints

2024-10-1

A Simple modification to the Smith Predictor Structure for dealing with high-order delayed processes considering one unstable pole

2024-10-1

EHOPN: A novel enhanced high-order pooling-based network for industrial fault detection

2024-10-1

Concurrent analysis of static deviation and dynamic oscillation for momentum wheel bearing health monitoring and prognostication

2024-9-1

Switching probabilistic slow feature extraction for semisupervised industrial inferential modeling

2024-9-1

Adaptive temperature model for microalgae cultivation systems

2024-9-1

Autoregressive double latent variables probabilistic model for higher-order dynamic process monitoring

2024-9-1

A simple and fast robust nonlinear model predictive control heuristic using <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si0098.svg"><mml:mi>n</mml:mi></mml:math>-steps-ahead uncertainty predictions for back-off calculations

2024-9-1

Editorial Board

2024-9-1

SA-MSIFF: Soft sensing the cement f-CaO content with a self-adaptive multisource information fusion framework in clinker burning process

2024-9-1

Estimation-based model predictive control with objective prioritization for mutually exclusive objectives: Application to a power plant

2024-9-1

Category-tree-guided hierarchical knowledge transfer framework for zero-shot fault diagnosis

2024-9-1

Knowledge-data-driven process monitoring based on temporal knowledge graphs and supervised contrastive learning for complex industrial processes

2024-9-1

Editorial Board

2024-8-1

Modified active disturbance rejection control based on gain scheduling for circulating fluidized bed units

2024-8-1

A novel interactive prognosis framework with nonlinear Wiener process and multi-sensor fusion for remaining useful life prediction

2024-8-1

Monitoring the operating state of crystal growth process based on digital twin model

2024-8-1

Manifold embedding stationary subspace analysis for nonstationary process monitoring with industrial applications

2024-8-1

Semi-decentralized temperature control in district heating systems

2024-8-1

Spatiotemporal-response-correlation-based model predictive control of heat conduction temperature field

2024-8-1

An adaptive control system based on spatial–temporal graph convolutional and disentangled baseline-volatility prediction of bellows temperature for iron ore sintering process

2024-8-1

Prediction model of burn-through point with data correction based on feature matching of cross-section frame at discharge end

2024-8-1

Real-time control of torch height in NG-GMAW process based on passive vision sensing technology

2024-7-17

Modified ESO based disturbance rejection for dynamical systems: An experimental study

2024-7-11

Stiction parameter identification for pneumatic valves with a simultaneous approach

2024-7-2

Data-driven identification and comparison of full multivariable models for propofol–remifentanil induced general anesthesia

2024-7-1

Data-driven economic MPC with asymptotic stability and strong duality verification using Hankel matrix

2024-7-1

Economic Performance of Model Predictive Control at Back-off Operating Point

2024-7-1

Applications of Lagrangian relaxation-based algorithms to industrial scheduling problems, especially in production workshop scenarios: A review

2024-7-1

Mathematical modeling and system analysis for preventing unsteady bulging in continuous slab casting machines

2024-7-1

Editorial Board

2024-7-1

Time delay and model parameter estimation for nonlinear system with simultaneous approach

2024-7-1

Predicting goal attainment in process-oriented behavioral interventions using a data-driven system identification approach

2024-7-1

A nonlinear disturbance observer for sliding mode control of surge in centrifugal compressors via TCV actuator

2024-7-1

Data/mechanism hybrid-driven modeling of blast furnace smelting system and global sequential optimization

2024-7-1

Self-tunable approximated explicit MPC: Heat exchanger implementation and analysis

2024-6-22

A stochastic approach for the solution of single and multi–objective optimisation problems of biological processes in sequencing batch reactor

2024-6-20

Adaptive temperature control of a reverse flow process by using reinforcement learning approach

2024-6-20

Finite-time stabilization output-feedback control of Schrödinger’s equation

2024-6-19

Iterative learning robust MPC hybrid fault-tolerant control for multi-phase batch processes with asynchronous switching

2024-6-11

A big data-driven predictive control approach for nonlinear processes using behaviour clusters

2024-6-7