Process Control and Optimization

Dear Colleagues,

We are pleased to invite you to contribute your research to our upcoming Special Issue titled “Process Control and Optimization”. Process control and optimization (PCO) is the discipline of adjusting a process to maintain or optimize a specified set of parameters without violating process constraints. The PCO market is being driven by rising demand for energy-efficient production processes, safety and security concerns, and the development of the industrial internet of things (IIoT), facilitating the seamless integration of diverse devices, sensors, and systems, thereby enhancing overall operational performance. Technological advancements empower industrial enterprises to control and optimize the overall processes to improve efficiency, product quality, and safety while reducing costs and risks. However, controlling and optimizing industrial processes has become a major challenge in an increasingly competitive environment focused on economic profitability. Therefore, this Special Issue will provide a good opportunity for researchers from all over the world to communicate and move forward.

This Special Issue will delve into the intricacies of process control and optimization, covering a wide range of topics and disciplines. We invite contributions that explore theoretical developments, novel methodologies, practical applications, and case studies related to process control and optimization.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following topics:

• Process modeling and simulation;
• Process control and instrumentation;
• Process monitoring and fault detection;
• Process optimization;
• Production planning and scheduling;
• Process management and decision support systems;
• Advanced control strategies and algorithms;
• Model predictive control (MPC);
• Real-time optimization;
• Industrial big data analytics and cyber–physical systems;
• Artificial intelligence in process control;
• Integration of process systems engineering (PSE) methodologies;
• Digital twins and industrial internet of things;
• Optimization of energy consumption and resource utilization;
• Industrial case studies and applications.

Prof. Dr. Xiaojun Zhou
Dr. Yitao Yan
Dr. Zhaoke Huang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• process control
• process optimization
• process systems engineering
• artificial intelligence
• digital twins
• industrial internet of things
• decision support systems