Nonlinear system identification via Laguerre network based fuzzy systems

DOI10.1016/j.fss.2009.09.016zbMath1185.93028OpenAlexW2068513806MaRDI QIDQ2269169

Musa H. Asyali, Musa Alci

Publication date: 16 March 2010

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2009.09.016

zbMATH Keywords

Wiener modelnonlinear dynamical systemfuzzy system identificationLaguerre bases

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) System identification (93B30) Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Identification in stochastic control theory (93E12)

Cites Work

• Nonlinear black-box modeling in system identification: A unified overview
• Universal coding, information, prediction, and estimation
• Multiple local Laguerre models for modelling nonlinear dynamic systems of the Wiener class
• The minimum description length principle in coding and modeling
• Design and analysis of fuzzy identifiers of nonlinear dynamic systems
• A generalized orthonormal basis for linear dynamical systems
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