Fuzzy Elman wavelet network: applications to function approximation, system identification, and power system control
DOI10.1016/J.INS.2021.11.009OpenAlexW3216947774MaRDI QIDQ6188184
Hassan Feshki Farahani, Abdolreza Dehghani Tafti, Mahdi Hedayati, Zahra Sheikhlar
Publication date: 1 February 2024
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2021.11.009
function approximationdynamic system identificationpower system transient stabilityElman neural network (ENN)fuzzy wavelet neural network (FWNN)large-scale non-linear system control
Control/observation systems governed by partial differential equations (93C20) Fuzzy control/observation systems (93C42) System identification (93B30) Nonlinear systems in control theory (93C10) Large-scale systems (93A15)
Cites Work
- Dynamic system modeling using a recurrent interval-valued fuzzy neural network and its hardware implementation
- Single-hidden-layer fuzzy recurrent wavelet neural network: applications to function approximation and system identification
- A type-2 fuzzy wavelet neural network for system identification and control
- Analysis and damping control of power system low-frequency oscillations
- Self‐recurrent wavelet neural network–based identification and adaptive predictive control of nonlinear dynamical systems
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