Complex Process Modeling and Control Based on AI Technology
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: 1 April 2025 | Viewed by 140
Special Issue Editors
Interests: process control; intelligent control; computational intelligence
Interests: process control; intelligent control; intelligent optimization; computational intelligence; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: multi-agent cooperative control; high-precision control of electromechanical systems; anti-disturbance control; modern robust control; control theory and applications; repetitive control
Special Issue Information
Dear Colleagues,
In recent years, with the rapid development of big data and artificial intelligence technology, how to apply these new technologies to complex systems has attracted the attention of many scholars. The aim of this Special Issue is to explore complex process modeling, optimization and control, as well as the important support for the application of advanced methods and techniques of machine learning and artificial intelligence to complex processes.
This Special Issue will focus on complex process modeling and control based on AI technology and will present considerable novelty in both theoretical background and practical design. Papers should provide original ideas and new approaches, and should clearly indicate progress made in problem formulation, methodology, or application. Research areas may include (but are not limited to) the following:
- Hybrid intelligent modeling techniques;
- Data-driven modelling techniques;
- Modeling and optimization of complex industrial processes;
- Online measurement, process control, and optimization for cyber–physical systems;
- Data mining and management methods for massive volumes of data;
- Machine learning applications to manufacturing automation.
Prof. Dr. Jie Hu
Prof. Dr. Sheng Du
Dr. Pan Yu
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. Mathematics 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 2600 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.
Keywords
- data-driven modeling
- artificial intelligence
- process control
- dynamical systems modelling
- machine learning
