Szczegóły publikacji
Opis bibliograficzny
Application of ALMM technology to intelligent control system for a fleet of unmanned aerial vehicles / Ewa Zeslawska, Zbigniew Gomolka, Ewa DUDEK-DYDUCH // W: Neural Information Processing : 30th International Conference, ICONIP 2023 : Changsha, China, November 20–23, 2023 : proceedings, Pt. 9 / eds. Biao Luo, [et al.]. — Singapore : Springer Nature Singapore, cop. 2024. — (Communications in Computer and Information Science ; ISSN 1865-0929 ; vol. 1963). — ISBN: 978-981-99-8137-3; e-ISBN: 978-981-99-8138-0. — S. 26–37. — Bibliogr., Abstr. — Publikacja dostępna online od: 2023-11-26. — Błędny zapis nazwiska: E. Dydek-Dyduch
Autorzy (3)
- Zeslawska Ewa
- Gomolka Zbigniew
- AGHDudek-Dyduch Ewa
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 150915 |
|---|---|
| Data dodania do BaDAP | 2024-02-02 |
| DOI | 10.1007/978-981-99-8138-0_3 |
| Rok publikacji | 2024 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | International Conference on Neural Information Processing |
| Czasopismo/seria | Communications in Computer and Information Science |
Abstract
The article is related to an intelligent information system for managing a fleet of Unmanned Aerial Vehicles (UAVs) while taking into account various dynamically changing constraints. Variability of the time intervals that are available for flights over certain areas located close to the airports is one of the essential constraints. The system must be developed very flexibly to easily accommodate changing both flight destinations and performance conditions. The authors propose application of Algebraic Logic Meta Modelling (ALMM) technology to design and implement the models and algorithms used in this system. The article presents part of the research carried out by the authors during the design of the aforementioned system. An Algebraic Logic (AL) model of UAV flights optimization scheduling problem is given. The execution of overflights in the circumpolar zone with the criterion of minimizing the total completion time of all tasks Cmax is described. Then a hybrid algorithm for solving this problem and the results of the experiments carried out are presented. The component nature of the proposed approach allows easy transposition of the models and algorithms in case of more complex, additional assumption and restrictions referring to manage flights in real conditions.