Process Control and Monitoring
A section of Processes (ISSN 2227-9717).
Section Information
The Control and Monitoring section of Processes welcomes high-quality manuscripts concerning control and monitoring methodologies, including related topics such as simulation, modeling, identification, and optimization, for solving problems related to process systems engineering. This section encourages submissions focusing on novel methodologies and their analysis, including applications using novel and existing methodologies.
All submissions in this section should relate directly to process systems engineering within the aims and scope of the journal Processes (chemistry, biology, materials, and allied engineering fields). Contributions that are purely computational in nature without a clear relationship to the aims and scope of this section will not be accepted. To facilitate the rapid, open exchange of knowledge, all authors are strongly encouraged (but not required) to submit any associated source code, models, simulations, software, and data either as supplementary material and/or to an open-access repository such as LAPSE (the Living Archive for Process Systems Engineering). Download Section Flyer
Simulation and Modeling Methods
- Numerical methods
- Equation-system solving algorithms and heuristics
- Initialization problems
- Solution strategies
- Multi-scale modeling approaches
- Problem formulation strategies
Process Data-Based Approaches
- Multivariate analysis
- Principal component analysis
- Big data methods
- Artificial intelligence
- Machine learning
- Industry 4.0 related
Model Identification
- Model identification
- Model reduction
- State-space sampling techniques
- Design-of-experiments
- Model fitting
Process Control
- Advanced control algorithms
- Closed-loop performance monitoring
- Hierarchical control
- Non-centralized control
- Robustness in control
- Optimization-based control
Process Supervision
- Decision support systems
- Uncertainty and risk
- Process monitoring
- Fault diagnosis
- Fault-tolerant control
- Sensor placement
Process Optimization
- Mathematical programming
- Heuristic-based algorithms
- Stochastic algorithms
- Evolutionary algorithms
- Derivative-free optimization
- General optimization theory
- Computational complexity
- Related numerical methods
Process Intensification
- New technologies for process intensification
- Knowledge-based methods
- Optimization-based methods
- Hybrid methods
- Operability, controllability, and safety
Editorial Board
Topical Advisory Panel
Special Issues
Following special issues within this section are currently open for submissions:
- Machine Learning for Process Systems Engineering, Classification, Estimation, Prediction, and Updating (Deadline: 30 April 2024)
- Modeling and Control of Flexible Manufacturing Systems (Deadline: 30 April 2024)
- Metallurgical Process: Optimization and Control (Deadline: 20 May 2024)
- Monitoring and Control of Processes in the Context of Industry 4.0 (Deadline: 20 May 2024)
- Green Manufacturing Processes: Data Modelling and Fusion-Driven Optimization Control (Deadline: 20 May 2024)
- Mine Ventilation and Dust Control Technology in Safety Management Engineering (Deadline: 31 May 2024)
- AI / Machine Learning Techniques as a Tool for Process Modeling and Product Design (Deadline: 10 June 2024)
- Advances in Smart Industrial Engineering Techniques for Optimizing and Controlling Processes (Deadline: 20 June 2024)
- Mass/Energy Transfer and MATLAB Applications in Process Engineering (Deadline: 20 June 2024)
- Industrial Applications of Modeling Tools (Deadline: 20 June 2024)
- Industrial Energy and Resource Conservation via Process System Engineering (Deadline: 30 June 2024)
- Industrial IoT-Enabled Modeling and Optimization for the Process Industry (Deadline: 30 June 2024)
- Modeling and Simulation of Complex Networks for Automation in Systems Engineering (Deadline: 30 June 2024)
- Innovation and Optimization of Production Processes in Industry 4.0 (Deadline: 30 June 2024)
- 10th Anniversary of Processes—Recent Advances in Process Control and Monitoring (Deadline: 20 July 2024)
- Dynamics Analysis and Intelligent Control in Industrial Engineering (Deadline: 30 July 2024)
- Modeling, Simulation, Control, and Optimization of Processes (Deadline: 30 July 2024)
- Monitoring, Process Control, Simulation, and Optimization in Coal Mining (Deadline: 21 August 2024)
- Complex Fluid Dynamics Modeling and Simulation, 2nd Edition (Deadline: 25 August 2024)
- Process Systems Engineering for Complex Industrial Systems (Deadline: 10 September 2024)
- Motor Drive Systems: Control Technology, Fault Diagnosis and Fault Tolerance (Deadline: 15 September 2024)
- Challenges and Advances of Process Control Systems (Deadline: 30 September 2024)
- Model Based, Data Driven Identification and Control for Developing Intelligent and Smart Processes and Systems (Deadline: 10 October 2024)
- Security Intelligent Monitoring and Big Data Utilization in Coal Mining Process (Deadline: 25 October 2024)
- Modeling, Control, and Optimization of Drilling Techniques (Deadline: 30 October 2024)
- Emerging Research Fronts in Machine Learning for Studying Excited State Dynamics (Deadline: 31 October 2024)
- Process Systems Engineering for Better Sustainability: Challenges and Perspectives (Deadline: 31 October 2024)
- Risk Assessment and System Safety in the Process Industry (Deadline: 31 October 2024)
- Process Systems Engineering for Environmental Protection (Deadline: 15 November 2024)
- Detection, Control and Management of Industrial Dust (Deadline: 1 December 2024)
- Innovations in Condition Monitoring, Optimization and Advanced Control for Complex Industrial Processes (Deadline: 1 December 2024)
- Multiscale Modeling and Numerical Simulation of Multiphase Flow (Deadline: 25 December 2024)
- Supersonic Fluid Flow Process and Its Control Methods (Deadline: 31 December 2024)
Topical Collections
Following topical collections within this section are currently open for submissions:
