Special Issue "Intelligent Control Theory and Applications in Process Optimization and Smart Manufacturing"
Deadline for manuscript submissions: closed (20 September 2023) | Viewed by 19486
Interests: optomechatronics; intelligent theory applications; automated sensing; 3D printing control
In recent years, with the rapid development of Industry 4.0, smart manufacturing has become an important issue in industrial production. In addition to the industrial Internet of Things, smart control and process optimization are actually key technologies for smart manufacturing. It is important that the system can respond to environmental changes in real time and operate efficiently. Among them, artificial intelligence is a more indispensable core element. Artificial intelligence theory, including neural networks, fuzzy theory, etc., has been widely used in various fields. In addition, machine learning, including deep learning, is an important tool to realize artificial intelligence. Artificial intelligence conducts intelligent analysis and makes optimal decisions based on the obtained data to establish intelligent production resource scheduling and product optimization functions, which can effectively improve production efficiency and promote manufacturing process to smart manufacturing. The demand for artificial intelligence technology development such as neural networks, fuzzy, and deep learning has grown rapidly in various fields. Therefore, this is the right time to pay attention to related research works in different fields that have used AI models and learning methods.
This Special Issue on “Intelligent Control Theory and Its Application in Process Optimization and Smart Manufacturing” welcomes the use of different types of research on intelligent theory to promote the development and application of intelligent control theory for process optimization and smart manufacturing in smart factories. Therefore, this issue aims to gather relevant research covering (but not limited to) the following topics:
- AI model-based intelligent control;
- AI model-based process optimization;
- AI model-based smart manufacturing/material processing;
- Intelligent control and manufacturing of traditional machining processes;
- Intelligent control and manufacturing of non-traditional machining processes, such as 3D additive manufacturing, etc.;
- Monitoring and control of smart factories.
Prof. Dr. Ming-Jong Tsai
Dr. Ricky Min-Fan Lee
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. Processes is an international peer-reviewed open access monthly 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.
- Industry 4.0
- Artificial Intelligence
- deep learning
- intelligent control
- smart manufacturing
- smart material processing