Standard
Sustainable management of marine fish stocks by means of sliding mode control. / Benz, Katharina; Rech, Claus
; Mercorelli, Paolo.
Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019: September 1–4, 2019. Leipzig, Germany. Hrsg. / Maria Ganzha; Leszek Maciaszek; Marcin Paprzycki . Warsaw: Polskie Towarzystwo Informatyczne, 2019. S. 907-910 8859988 (Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019).
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
Harvard
Benz, K, Rech, C
& Mercorelli, P 2019,
Sustainable management of marine fish stocks by means of sliding mode control. in M Ganzha, L Maciaszek & M Paprzycki (Hrsg.),
Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019: September 1–4, 2019. Leipzig, Germany., 8859988, Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019, Polskie Towarzystwo Informatyczne, Warsaw, S. 907-910, Federated Conference in Computer Science and Information Systems - FedCSIS 2019, Leipzig, Deutschland,
01.09.19.
https://doi.org/10.15439/2019F221APA
Benz, K., Rech, C.
, & Mercorelli, P. (2019).
Sustainable management of marine fish stocks by means of sliding mode control. In M. Ganzha, L. Maciaszek, & M. Paprzycki (Hrsg.),
Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019: September 1–4, 2019. Leipzig, Germany (S. 907-910). Artikel 8859988 (Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019). Polskie Towarzystwo Informatyczne.
https://doi.org/10.15439/2019F221Vancouver
Benz K, Rech C
, Mercorelli P.
Sustainable management of marine fish stocks by means of sliding mode control. in Ganzha M, Maciaszek L, Paprzycki M, Hrsg., Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019: September 1–4, 2019. Leipzig, Germany. Warsaw: Polskie Towarzystwo Informatyczne. 2019. S. 907-910. 8859988. (Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019). doi: 10.15439/2019F221
Bibtex
@inbook{6bb5b9b84e85409fbaef5d95c831443a,
title = "Sustainable management of marine fish stocks by means of sliding mode control",
abstract = "This paper deals with a possible approach to controlling marine fish stocks using the prey-predator model described by the Lotka-Volterra equations. The control strategy is conceived using the sliding mode control (SMC) approach which, based on the Lyapunov theorem, offers the possibility to track desired functions, thus guaranteeing the stability of the controlled system. This approach can be used for sustainable management of marine fish stocks: through the developed algorithm, the appropriate number of active fishermen and the suitable period for fishing can be determined. Computer simulations validate the proposed approach.",
keywords = "Engineering",
author = "Katharina Benz and Claus Rech and Paolo Mercorelli",
year = "2019",
month = sep,
day = "1",
doi = "10.15439/2019F221",
language = "English",
series = "Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019",
publisher = "Polskie Towarzystwo Informatyczne",
pages = "907--910",
editor = "Maria Ganzha and Leszek Maciaszek and {Paprzycki }, Marcin",
booktitle = "Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019",
address = "Poland",
note = "Federated Conference in Computer Science and Information Systems - FedCSIS 2019 : The Doctoral Symposium on Recent Advances in Information Technology, FedCSIS ; Conference date: 01-09-2019 Through 04-09-2019",
url = "https://fedcsis.org/2019/, https://www.fedcsis.org/2019/program",
}
RIS
TY - CHAP
T1 - Sustainable management of marine fish stocks by means of sliding mode control
AU - Benz, Katharina
AU - Rech, Claus
AU - Mercorelli, Paolo
N1 - Conference code: 14
PY - 2019/9/1
Y1 - 2019/9/1
N2 - This paper deals with a possible approach to controlling marine fish stocks using the prey-predator model described by the Lotka-Volterra equations. The control strategy is conceived using the sliding mode control (SMC) approach which, based on the Lyapunov theorem, offers the possibility to track desired functions, thus guaranteeing the stability of the controlled system. This approach can be used for sustainable management of marine fish stocks: through the developed algorithm, the appropriate number of active fishermen and the suitable period for fishing can be determined. Computer simulations validate the proposed approach.
AB - This paper deals with a possible approach to controlling marine fish stocks using the prey-predator model described by the Lotka-Volterra equations. The control strategy is conceived using the sliding mode control (SMC) approach which, based on the Lyapunov theorem, offers the possibility to track desired functions, thus guaranteeing the stability of the controlled system. This approach can be used for sustainable management of marine fish stocks: through the developed algorithm, the appropriate number of active fishermen and the suitable period for fishing can be determined. Computer simulations validate the proposed approach.
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85074160219&partnerID=8YFLogxK
UR - https://annals-csis.org/proceedings/2019/pliks/fedcsis.pdf
U2 - 10.15439/2019F221
DO - 10.15439/2019F221
M3 - Article in conference proceedings
T3 - Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019
SP - 907
EP - 910
BT - Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019
A2 - Ganzha, Maria
A2 - Maciaszek, Leszek
A2 - Paprzycki , Marcin
PB - Polskie Towarzystwo Informatyczne
CY - Warsaw
T2 - Federated Conference in Computer Science and Information Systems - FedCSIS 2019
Y2 - 1 September 2019 through 4 September 2019
ER -
