Identification of neuro-fractional Hammerstein systems: a hybrid frequency-/time-domain approach

DOI10.1007/S00500-017-2749-6zbMath1415.93126OpenAlexW2741253835MaRDI QIDQ2001109

Mohammad-Reza Rahmani, Mohammad Farrokhi

Publication date: 2 July 2019

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-017-2749-6

zbMATH Keywords

neural networksfrequency-domain identificationHammerstein modelfractional-order differential equations

Mathematics Subject Classification ID

System identification (93B30) Nonlinear systems in control theory (93C10) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Control/observation systems governed by ordinary differential equations (93C15) Fractional ordinary differential equations (34A08)

Related Items (3)

Improving the modelling efficiency of Hammerstein system using Kalman filter and its parameters optimised using social mimic algorithm: application to heating and cascade water tanks ⋮ Fully parametric identification for continuous time fractional order Hammerstein systems ⋮ Nonlinear system identification using fractional Hammerstein-Wiener models

Uses Software

• Daisy

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Hierarchical gradient parameter estimation algorithm for Hammerstein nonlinear systems using the key term separation principle
• Auxiliary model based least squares parameter estimation algorithm for feedback nonlinear systems using the hierarchical identification principle
• Several gradient parameter estimation algorithms for dual-rate sampled systems
• Estimation of thermal parameters using fractional modelling
• Fractional modelling and identification of thermal systems
• Mittag-Leffler stability of fractional order nonlinear dynamic systems
• Approximation and identification of diffusive interfaces by fractional models
• Fractional differential equations. An introduction to fractional derivatives, fractional differential equations, to methods of their solution and some of their applications
• An enhanced fractional order model of ionic polymer-metal composites actuator
• Lyapunov functions for fractional order systems
• Least squares algorithm for an input nonlinear system with a dynamic subspace state space model
• Least squares based iterative identification algorithms for input nonlinear controlled autoregressive systems based on the auxiliary model
• Non-linear system identification using Hammerstein and non-linear feedback models with piecewise linear static maps
• Single-Carrier Frequency Domain Equalization for Hammerstein Communication Systems Using Complex-Valued Neural Networks
• Fractional Order Modeling of Large Three-Dimensional RC Networks
• The advantages of directly identifying continuous-time transfer function models in practical applications
• Kalman state filtering based least squares iterative parameter estimation for observer canonical state space systems using decomposition

This page was built for publication: Identification of neuro-fractional Hammerstein systems: a hybrid frequency-/time-domain approach