The study focused on investigating techniques for identifying and managing a complex cement grinding process using artificial neural networks and other non-linear models....
Abstract:
The paper involved conducting preliminary research to explore the identification and control of a multi-dimensional, non-linear, and non-stationary cement grinding proces...Show MoreMetadata
Abstract:
The paper involved conducting preliminary research to explore the identification and control of a multi-dimensional, non-linear, and non-stationary cement grinding process using artificial neural networks and various other non-linear models. The primary objective was to establish a precise model that accurately characterizes the functioning of the grinding system. Several model structures were employed, including NARX models based on feed-forward network, Elman, Jordan, and Layer-Recurrent Network (LRN) recurrent networks, as well as MTL (Multi-Task Learning) and traditional NARX non-linear models. It was observed that, in contrast to the linear models, the non-linear models exhibited significantly superior performance in the modeling of the system. Another notable outcome of this research is the proposal of a neurocontroller, functioning as an expert system, which can provide control signals to operators. The development and implementation of such a neurocontroller have the potential to enhance the quality, simplicity, and efficiency of cement grinding process control.
The study focused on investigating techniques for identifying and managing a complex cement grinding process using artificial neural networks and other non-linear models....
Published in: IEEE Access ( Volume: 12)
Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Opole, Poland
Dawid Pawuś received the B.Sc. and M.Sc. degrees in the field of automation and robotics from the Opole University of Technology, in 2022 and 2023, respectively, where he is currently pursuing the Ph.D. degree.
In the Ph.D. thesis, he examines the impact of artificial intelligence as part of an expert system on improving the diagnosis of kidney diseases. He is the author of several publications that concern research on art...Show More
Dawid Pawuś received the B.Sc. and M.Sc. degrees in the field of automation and robotics from the Opole University of Technology, in 2022 and 2023, respectively, where he is currently pursuing the Ph.D. degree.
In the Ph.D. thesis, he examines the impact of artificial intelligence as part of an expert system on improving the diagnosis of kidney diseases. He is the author of several publications that concern research on art...View more
Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Opole, Poland
Szczepan Paszkiel received the Ph.D. degree in technical sciences (automatics and robotics), in 2011, and the Habilitation degree, in 2021.
He is currently an University Professor with the Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology. He is the author of more than 100 publications, including those from ISI Master Journal List and lectures on several dozen scientific c...Show More
Szczepan Paszkiel received the Ph.D. degree in technical sciences (automatics and robotics), in 2011, and the Habilitation degree, in 2021.
He is currently an University Professor with the Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology. He is the author of more than 100 publications, including those from ISI Master Journal List and lectures on several dozen scientific c...View more
Contents Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Opole, Poland
Dawid Pawuś received the B.Sc. and M.Sc. degrees in the field of automation and robotics from the Opole University of Technology, in 2022 and 2023, respectively, where he is currently pursuing the Ph.D. degree.
In the Ph.D. thesis, he examines the impact of artificial intelligence as part of an expert system on improving the diagnosis of kidney diseases. He is the author of several publications that concern research on artificial intelligence, BCI systems, EEG signals, and control systems. He is the coauthor of several projects for industry and state institutions. He is also the author of reviews for the Springer publishing house. He cooperates with the medical sector by conducting various types of research on large data sets. His research interests include the practical aspects of application use, especially those based on expert approaches, neural networks, and advanced control using classic approaches, and those based on artificial intelligence. He also conducts research on image recognition and classification systems.
Mr. Pawuś is the winner of many awards and distinctions, such as the Scholarship from the Minister of Education of the Republic of Poland, the Scholarship from the President of Opole, the Marshal of the Opole Voivodeship, and the Rector of the Opole University of Technology. His diploma thesis, closely related to research for industry, allowed him to win several national competitions.
Dawid Pawuś received the B.Sc. and M.Sc. degrees in the field of automation and robotics from the Opole University of Technology, in 2022 and 2023, respectively, where he is currently pursuing the Ph.D. degree.
In the Ph.D. thesis, he examines the impact of artificial intelligence as part of an expert system on improving the diagnosis of kidney diseases. He is the author of several publications that concern research on artificial intelligence, BCI systems, EEG signals, and control systems. He is the coauthor of several projects for industry and state institutions. He is also the author of reviews for the Springer publishing house. He cooperates with the medical sector by conducting various types of research on large data sets. His research interests include the practical aspects of application use, especially those based on expert approaches, neural networks, and advanced control using classic approaches, and those based on artificial intelligence. He also conducts research on image recognition and classification systems.
Mr. Pawuś is the winner of many awards and distinctions, such as the Scholarship from the Minister of Education of the Republic of Poland, the Scholarship from the President of Opole, the Marshal of the Opole Voivodeship, and the Rector of the Opole University of Technology. His diploma thesis, closely related to research for industry, allowed him to win several national competitions.View more
Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology, Opole, Poland
Szczepan Paszkiel received the Ph.D. degree in technical sciences (automatics and robotics), in 2011, and the Habilitation degree, in 2021.
He is currently an University Professor with the Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology. He is the author of more than 100 publications, including those from ISI Master Journal List and lectures on several dozen scientific conferences, festivals, and panel discussions. He is a Researcher and an editor, having authored and edited several significant monographs in the field of brain–computer interfaces (BCI). Noteworthy among these are Applications of Brain–Computer Interfaces in Intelligent Technologies (Springer International Publishing, 2022) and Analysis and Classification of EEG Signals for Brain–Computer Interfaces (Springer International Publishing, 2020). He is also the co-editor of the monograph Control, Computer Engineering and Neuroscience: Proceedings of IC Brain Computer Interface 2021 (Springer, 2021). His dedication extends to serving on the Metrology Commission of the Polish Academy of Sciences, Katowice Branch, and the Faculty Engineering, Automatic Control, and Informatics Council, Opole University of Technology. He is recognized as an Expert and a Representative of esteemed institutions, including the National Centre for Research and Development, the Centre of OPI Processing Information in the National Research Centre (PIB), the European Commission, and Wroclaw Research Centre EIT. His impact on the field is further evidenced by his authorship of the first handbook in Poland titled Brain-Computer Interfaces and Neuroinformatics, in 2014. His research interests include modern methods of control systems, brain–computer technology, and modeling of neuronal cell fractions.
Prof. Paszkiel is the winner of many prizes and competitions, including those organized by the Ministry of Science and Higher Education, Republic of Poland, and a recipient of grants for young scientists. As an active member of various scientific bodies, he has contributed to the field through his involvement in conferences, such as the Fourth International Scientific Conference on Brain–Computer Interfaces (BCI 2022) and the Third International Scientific Conference on Brain–Computer Interfaces (BCI 2018). He holds leadership roles as the Chairperson of the Program Commission for Biomedical Engineering, Opole University of Technology, and the Head Organizer of the International Scientific Conference on Brain–Computer Interfaces in Opole. In addition to his editorial and organizational roles, he has made significant contributions as a reviewer for reputable journals and as a member of expertise panels with the National Centre for Research and Development.
Szczepan Paszkiel received the Ph.D. degree in technical sciences (automatics and robotics), in 2011, and the Habilitation degree, in 2021.
He is currently an University Professor with the Faculty of Electrical Engineering, Automatic Control and Informatics, Opole University of Technology. He is the author of more than 100 publications, including those from ISI Master Journal List and lectures on several dozen scientific conferences, festivals, and panel discussions. He is a Researcher and an editor, having authored and edited several significant monographs in the field of brain–computer interfaces (BCI). Noteworthy among these are Applications of Brain–Computer Interfaces in Intelligent Technologies (Springer International Publishing, 2022) and Analysis and Classification of EEG Signals for Brain–Computer Interfaces (Springer International Publishing, 2020). He is also the co-editor of the monograph Control, Computer Engineering and Neuroscience: Proceedings of IC Brain Computer Interface 2021 (Springer, 2021). His dedication extends to serving on the Metrology Commission of the Polish Academy of Sciences, Katowice Branch, and the Faculty Engineering, Automatic Control, and Informatics Council, Opole University of Technology. He is recognized as an Expert and a Representative of esteemed institutions, including the National Centre for Research and Development, the Centre of OPI Processing Information in the National Research Centre (PIB), the European Commission, and Wroclaw Research Centre EIT. His impact on the field is further evidenced by his authorship of the first handbook in Poland titled Brain-Computer Interfaces and Neuroinformatics, in 2014. His research interests include modern methods of control systems, brain–computer technology, and modeling of neuronal cell fractions.
Prof. Paszkiel is the winner of many prizes and competitions, including those organized by the Ministry of Science and Higher Education, Republic of Poland, and a recipient of grants for young scientists. As an active member of various scientific bodies, he has contributed to the field through his involvement in conferences, such as the Fourth International Scientific Conference on Brain–Computer Interfaces (BCI 2022) and the Third International Scientific Conference on Brain–Computer Interfaces (BCI 2018). He holds leadership roles as the Chairperson of the Program Commission for Biomedical Engineering, Opole University of Technology, and the Head Organizer of the International Scientific Conference on Brain–Computer Interfaces in Opole. In addition to his editorial and organizational roles, he has made significant contributions as a reviewer for reputable journals and as a member of expertise panels with the National Centre for Research and Development.View more