Sustainable management of marine fish stocks by means of sliding mode control

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

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. ed. / Maria Ganzha; Leszek Maciaszek; Marcin Paprzycki . Warsaw: Polskie Towarzystwo Informatyczne, 2019. p. 907-910 8859988 (Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019).

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

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 (eds), 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, pp. 907-910, Federated Conference in Computer Science and Information Systems - FedCSIS 2019, Leipzig, Germany, 01.09.19. https://doi.org/10.15439/2019F221

APA

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 (Eds.), Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019: September 1–4, 2019. Leipzig, Germany (pp. 907-910). Article 8859988 (Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, FedCSIS 2019). Polskie Towarzystwo Informatyczne. https://doi.org/10.15439/2019F221

Vancouver

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, editors, 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. p. 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 -

DOI