Fuzzy-Petri-Networks in Supervisory Control of Markov Processes in Robotized FMS and Robotic Systems
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| Titel: | Fuzzy-Petri-Networks in Supervisory Control of Markov Processes in Robotized FMS and Robotic Systems |
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| Autoren: | Dimirovski, Georgi M., Jing, Yuanwei, Shen, Jindong, Wang, Kun, Tukel, Dilek, Ozen, Figen, Nadzinski, Gorjan |
| Verlagsinformationen: | Springer Science and Business Media Deutschland GmbH |
| Publikationsjahr: | 2023 |
| Bestand: | Doğuş University Institutional Repository (DSpace@Dogus) / Doğuş Üniversitesi Akademik Arşiv Sistemi |
| Beschreibung: | The prospect applications of results and techniques of Petri-net and fuzzy-Petri-net formalisms is surveyed from the points of view of Systems Science and Engineering via discrete-event Markov processes and systemic structures, which are pertinent to applications in Robotized Manufacturing Engineering. The stand point of this analysis is the one of Control and Decision Sciences, and the general mathematical language utilized is the compound one consisted of directed graphs, Markov sequences, and set operations. The concepts of event-driven and time-driven sequences, being both real-world phenomena and mathematical objects, are found to be rather instrumental for development of representation models as well as control and communication algorithms that enable system design analysis with regard to higher, task-oriented decision and control level. Exposition on operating robotic and flexible manufacturing systems, via typical case-studies, follows an overview on the very concept of a system in general based on the system triple-paradigm comprising a conceptual and a representation model as well as real-world object these are aimed to mimic. A brief appropriate overview on Petri-net formalism and a similar overview on the feasible synergies of fuzzy-systems and Petri-nets are given. The resulting model representations and task-control algorithms based on case-study plants in robotized flexible manufacturing systems provide relevant illustrations. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
| Publikationsart: | book part |
| Sprache: | English |
| Relation: | Studies in Computational Intelligence; Kitap Bölümü - Uluslararası; https://hdl.handle.net/11376/5198; 1087; 17; 48; Q3 |
| DOI: | 10.1007/978-3-031-25759-9_2 |
| Verfügbarkeit: | https://hdl.handle.net/11376/5198 https://doi.org/10.1007/978-3-031-25759-9_2 |
| Rights: | info:eu-repo/semantics/closedAccess |
| Dokumentencode: | edsbas.96957C93 |
| Datenbank: | BASE |
Nájsť tento článok vo Web of Science | Abstract: | The prospect applications of results and techniques of Petri-net and fuzzy-Petri-net formalisms is surveyed from the points of view of Systems Science and Engineering via discrete-event Markov processes and systemic structures, which are pertinent to applications in Robotized Manufacturing Engineering. The stand point of this analysis is the one of Control and Decision Sciences, and the general mathematical language utilized is the compound one consisted of directed graphs, Markov sequences, and set operations. The concepts of event-driven and time-driven sequences, being both real-world phenomena and mathematical objects, are found to be rather instrumental for development of representation models as well as control and communication algorithms that enable system design analysis with regard to higher, task-oriented decision and control level. Exposition on operating robotic and flexible manufacturing systems, via typical case-studies, follows an overview on the very concept of a system in general based on the system triple-paradigm comprising a conceptual and a representation model as well as real-world object these are aimed to mimic. A brief appropriate overview on Petri-net formalism and a similar overview on the feasible synergies of fuzzy-systems and Petri-nets are given. The resulting model representations and task-control algorithms based on case-study plants in robotized flexible manufacturing systems provide relevant illustrations. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG. |
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| DOI: | 10.1007/978-3-031-25759-9_2 |