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

• Autorzy: Benz Katharina , Rech Claus , Mercorelli Paolo , Sergiyenko Oleg

Identyfikatory

DOI

10.14313/JAMRIS/3‐2020/30

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

Lotka‐Volterra model; sliding mode control; extended Kalman filter

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2020
• Tom: Vol. 14, No. 3
• Strony: 28--35
• Opis fizyczny: Bibliogr. 13 poz., rys.

Twórcy

autor

Benz Katharina

• Institute of Product and Process Innovation, Leuphana University of Lueneburg, Universitaetsallee 1, D‑21335 Lueneburg, Germany

autor

Rech Claus

• Institute of Product and Process Innovation, Leuphana University of Lueneburg, Universitaetsallee 1, D‑21335 Lueneburg, Germany

autor

Mercorelli Paolo

• Institute of Product and Process Innovation, Leuphana University of Lueneburg, Universitaetsallee 1, D‑21335 Lueneburg, Germany

autor

Sergiyenko Oleg

• Applied Physics Department of Engineering Institute of Baja California Autonomous University, Blvd. Benito Juarez y Calle de La Normal, s/n, Col. Insurgentes Este, C.P.21280, Mexicali, BC, Mexico

Bibliografia

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