Two cascaded and extended kalman filters combined with sliding mode control for sustainable management of marine fish stocks

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Two cascaded and extended kalman filters combined with sliding mode control for sustainable management of marine fish stocks. / Benz, Katharina; Rech, Claus; Mercorelli, Paolo; Sergiyenko, Oleg.

in: Journal of Automation, Mobile Robotics and Intelligent Systems, Jahrgang 14, Nr. 3, 2020, S. 28-35.

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

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@article{4b381fefb7074dcd8418142a3ceb165d,
title = "Two cascaded and extended kalman filters combined with sliding mode control for sustainable management of marine fish stocks",
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. One of the most important aspects of this model is the identification of some parameters which characterizes the model. In this work two cascaded and Extended Kalman Filters (EKFs) are proposed to estimate them in order to be utilized in SMC. 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 = "Extended Kalman Filter, Lotka‐Volterra Model, Sliding Mode Control, Engineering",
author = "Katharina Benz and Claus Rech and Paolo Mercorelli and Oleg Sergiyenko",
note = "The paper is published in the last issue of 2020 but it was available and appeared in Scopus in February 2021.",
year = "2020",
doi = "10.14313/JAMRIS/3-2020/30",
language = "English",
volume = "14",
pages = "28--35",
journal = "JAMRIS, Journal of Automation, Mobile Robotics & Intelligent Systems",
issn = "1897-8649",
publisher = "Industrial Research Institute for Automation and Measurements",
number = "3",

}

RIS

TY - JOUR

T1 - Two cascaded and extended kalman filters combined with sliding mode control for sustainable management of marine fish stocks

AU - Benz, Katharina

AU - Rech, Claus

AU - Mercorelli, Paolo

AU - Sergiyenko, Oleg

N1 - The paper is published in the last issue of 2020 but it was available and appeared in Scopus in February 2021.

PY - 2020

Y1 - 2020

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. One of the most important aspects of this model is the identification of some parameters which characterizes the model. In this work two cascaded and Extended Kalman Filters (EKFs) are proposed to estimate them in order to be utilized in SMC. 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. One of the most important aspects of this model is the identification of some parameters which characterizes the model. In this work two cascaded and Extended Kalman Filters (EKFs) are proposed to estimate them in order to be utilized in SMC. 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 - Extended Kalman Filter

KW - Lotka‐Volterra Model

KW - Sliding Mode Control

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85100529636&partnerID=8YFLogxK

U2 - 10.14313/JAMRIS/3-2020/30

DO - 10.14313/JAMRIS/3-2020/30

M3 - Journal articles

AN - SCOPUS:85100529636

VL - 14

SP - 28

EP - 35

JO - JAMRIS, Journal of Automation, Mobile Robotics & Intelligent Systems

JF - JAMRIS, Journal of Automation, Mobile Robotics & Intelligent Systems

SN - 1897-8649

IS - 3

ER -

DOI