Application of a data-driven fuzzy control design to a wind turbine benchmark model

DOI10.1155/2012/504368zbMath1270.93069OpenAlexW2144855728WikidataQ58698124 ScholiaQ58698124MaRDI QIDQ360573

Silvio Simani

Publication date: 27 August 2013

Published in: Advances in Fuzzy Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/504368

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Application models in control theory (93C95)

Related Items (2)

Fuzzy gain-scheduled active fault-tolerant control of a wind turbine ⋮ Data-driven techniques for the fault diagnosis of a wind turbine benchmark

Cites Work

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• Parameter identification for piecewise-affine fuzzy models in noisy environment
• Sequential Monte Carlo Methods in Practice
• Fuzzy identification of systems and its applications to modeling and control
• Compensator based output feedback sliding mode controller design
• Active actuator fault‐tolerant control of a wind turbine benchmark model

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