Constructing fuzzy controllers with B-spline models?Principles and applications

DOI<257::AID-INT9>3.0.CO;2-Z 10.1002/(SICI)1098-111X(199802/03)13:2/3<257::AID-INT9>3.0.CO;2-ZzbMath0894.93026OpenAlexW1987594164MaRDI QIDQ4380042

Alois C. Knoll, Jian-Wei Zhang

Publication date: 30 August 1998

Full work available at URL: https://doi.org/10.1002/(sici)1098-111x(199802/03)13:2/3<257::aid-int9>3.0.co;2-z

zbMATH Keywords

learning\(B\)-splinerule-based multivariable fuzzy models

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42)

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Extraction and transfer of fuzzy control rules for sensor-based robotic operations ⋮ A Takagi--Sugeno model with fuzzy inputs viewed from multidimensional interval analysis ⋮ Piecewise parametric polynomial fuzzy sets ⋮ Designing fuzzy controllers by rapid learning. ⋮ Extracting compact fuzzy rules based on adaptive data approximation using B-splines ⋮ Approximation properties of piece-wise parabolic functions fuzzy logic systems

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