Industrial Process Control and Flexible Manufacturing Systems
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".
Deadline for manuscript submissions: 15 April 2026 | Viewed by 624
Special Issue Editor
Special Issue Information
Dear Colleagues,
With the rapid progress of science, technology, and industrial changes, the new generation of information and communication, biology, new materials, and energy continues to break through and accelerate the integration of advanced industrial process control and flexible manufacturing technology, providing a historical opportunity for the high-end, intelligent, and green development of manufacturing processes. Process control and flexible manufacturing technologies are an important means to improve the safety, stability, and reliability of industrial process operation, and are the key entry points and innovation powers to promote industrial intelligent manufacturing and improve quality and efficiency. Therefore, in the face of increasingly fierce market competition and the high-quality development needs of manufacturing industries, research on process control and flexible manufacturing theory and technology have important theoretical value and broad engineering application prospects. The purpose of proposing this Special Issue is to further develop the process control and flexible manufacturing theory and simultaneously extend its applications. Researchers working in this field are encouraged to share the latest results on both theory and applications in related fields. The topics of interest include, but are not limited to, the following:
- process monitoring;
- fault diagnosis;
- soft sensing modeling;
- process data analysis and modeling;
- industrial process management and decision;
- intelligent manufacturing;
- optimization and production scheduling;
- fault-tolerant control;
- self-healing control.
Dr. Liang Ma
Guest Editor
Manuscript Submission Information
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Keywords
- process monitoring
- fault diagnosis
- soft sensing modeling
- process data analysis and modeling
- industrial process management and decision
- intelligent manufacturing
- optimization and production scheduling
- fault-tolerant control
- self-healing control
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