Modeling and Dynamics Analysis of Marine Planktonic Ecosystem Based on Adaptive Fuzzy Variable Structure Control Approach

• Published in: Journal of coastal research 2020-06, Vol.103 (sp1), p.436-441
• Main Author: Yao, Hejun
• Format: Article
• Language: English
• Subjects: Adaptive control; Coastal engineering; COASTAL ENVIRONMENT RESEARCH; Coastal inlets; Coastal research; Coasts; Control methods; Dynamic characteristics; Dynamic models; Dynamic structural analysis; Dynamical systems; Dynamics; Ecological models; Ecosystems; Feasibility studies; Fishing; Fuzzy control; Marine ecology; Marine ecosystems; Marine planktonic ecosystem; Mathematical models; Modelling; nonlinear; Nonlinear dynamics; Ocean engineering; Offshore engineering; Plankton; Pollution effects; Self purification; stability adaptive fuzzy control; Variable structure control; Water purification
• ISSN: 0749-0208; 1551-5036
• DOI: 10.2112/SI103-089.1

Yao, H., 2020. Modeling and dynamics analysis of marine planktonic ecosystem based on adaptive fuzzy variable structure control approach. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 436–441. Coconut Creek (Florida), ISSN 0749-0208. Based on the logistic model, a new nonlinear dynamic model of marine plankton ecosystem is established considering the fishing behavior and the weakening effect of pollution on plankton and the self purification ability of plankton ecosystem. The dynamic characteristics of the model are analyzed by using the adaptive fuzzy variable structure control method, and the stability conditions of the marine planktonic ecosystem are obtained. On this basis, the adaptive fuzzy variable structure control of the system is designed. Finally, the feasibility and validity of this method for the study of marine planktonic ecological model are verified by numerical simulation.