Online identification of Takagi-Sugeno fuzzy models based on self-adaptive hierarchical particle swarm optimization algorithm

DOI10.1016/J.APM.2017.01.019zbMath1446.93048OpenAlexW2577476110MaRDI QIDQ2290158

Saeid Rastegar, Jérôme Mendes, Rui Araújo

Publication date: 27 January 2020

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2017.01.019

zbMATH Keywords

activated sludge processonline learning of Takagi-Sugeno modelself-adaptive hierarchical PSO algorithm

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Fuzzy control/observation systems (93C42) System identification (93B30) Application models in control theory (93C95)

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Cites Work

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• Hierarchical genetic fuzzy systems
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• A novel variable precision \((\theta ,\sigma )\)-fuzzy rough set model based on fuzzy granules
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• Fuzzy identification of systems and its applications to modeling and control
• Nearest neighbor pattern classification

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