Online affine model identification of nonlinear processes using a new adaptive neuro-fuzzy approach

DOI10.1016/j.apm.2012.01.010zbMath1254.93104OpenAlexW1976214034MaRDI QIDQ1930760

Karim Salahshoor, Sepide Zakeri, Morteza Hamzehnejad

Publication date: 13 January 2013

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

Full work available at URL: https://doi.org/10.1016/j.apm.2012.01.010

zbMATH Keywords

ANFISEKFaffine modeladaptive neuro-fuzzy modelonline identification

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) System identification (93B30) Adaptive control/observation systems (93C40)

Related Items (2)

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Uses Software

• ANFIS

Cites Work

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• Direct adaptive fuzzy control with a self-structuring algorithm
• Approximate linearization via feedback -- an overview
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• Sequential adaptive fuzzy inference system (SAFIS) for nonlinear system identification and prediction
• A Sequential Learning Scheme for Function Approximation Using Minimal Radial Basis Function Neural Networks
• Adaptive control of a class of nonlinear discrete-time systems using neural networks
• The local paradigm for modeling and control: From neuro-fuzzy to lazy learning

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