Hierarchical fractional-order Hammerstein system identification
DOI10.1080/00207721.2021.1891324zbMath1483.93673OpenAlexW3133726684MaRDI QIDQ5028659
Kamel Abderrahim, Asma Atitallah, Soumaya Marzougui, Saïda Bedoui
Publication date: 10 February 2022
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2021.1891324
identificationstate estimationrecursive least squares algorithmLevenberg-Marquardt algorithmauxiliary model principlefractional-order Hammerstein system
Nonlinear systems in control theory (93C10) Least squares and related methods for stochastic control systems (93E24) Fractional derivatives and integrals (26A33) Identification in stochastic control theory (93E12)
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Cites Work
- Unnamed Item
- Convergence properties of the least squares estimation algorithm for multivariable systems
- Gradient iterative algorithm for dual-rate nonlinear systems based on a novel particle filter
- Genetic algorithm-based identification of fractional-order systems
- Block-oriented nonlinear system identification
- Fractional-order systems and controls. Fundamentals and applications
- A hierarchical least squares identification algorithm for Hammerstein nonlinear systems using the key term separation
- Identification of block-oriented nonlinear systems starting from linear approximations: a survey
- Parametric identification of fractional-order nonlinear systems
- Normalized fractional adaptive methods for nonlinear control autoregressive systems
- Least squares algorithm for an input nonlinear system with a dynamic subspace state space model
- A multiple‐input–single‐output fractional‐order Hammerstein model identification based on modified neural network
- Hierarchical identification of lifted state-space models for general dual-rate systems
- Convergence of the Iterative Hammerstein System Identification Algorithm
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