Neural Networks and Computational Intelligence Techniques for Advanced Process Control
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Monitoring".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 203
Special Issue Editor
Interests: artificial intelligent system; signal processing; fuzzy control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In light of the rapid advancements in computing chips, sensing technologies, and wireless communication, intelligent control methodologies have garnered substantial attention and scholarly exploration. Their applications span diverse domains, encompassing industries, biomedicine, and social sciences. Intelligent control denotes a paradigm characterized by intelligent information processing, feedback mechanisms, and decision-making capabilities. Primarily employed to address the control challenges inherent in complex systems beyond the scope of traditional methods, intelligent control obviates the necessity for establishing mathematical models of the controlled entities. It particularly excels in managing complex nonlinear, time-varying, and uncertain control environments. Moreover, intelligent controllers possess inherent self-adjustment and self-learning capacities, ensuring adaptive responses to external environmental changes during the control process.
This Special Issue, entitled "Neural Networks and Computational Intelligence Techniques for Advanced Process Control", seeks to delve into diverse research endeavors concerning intelligent control technologies across various applications. The thematic scope encompasses, but is not limited to, the following:
- Neural network-based control systems;
- Machine learning-driven control methodologies;
- Reinforcement learning frameworks;
- Fuzzy logic control strategies;
- Neuro-fuzzy hybrid control systems;
- Expert systems for control applications;
- Genetic algorithm-based control techniques.
The objective of this Special Issue is to foster the comprehensive exploration and dissemination of cutting-edge research in the realm of intelligent control methodologies, thereby advancing knowledge and applications concerning advanced process control domains.
Prof. Dr. Rey-Chue Hwang
Guest Editor
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.
Keywords
- neural network
- intelligent control
- machine learning
- fuzzy control
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