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- Title
Gradient-based and least-squares-based iterative algorithms for Hammerstein systems using the hierarchical identification principle.
- Authors
Feng Ding; Xinggao Liu; Jian Chu
- Abstract
This study derives a least-squares-based iterative algorithm and a gradient-based iterative algorithm for Hammerstein systems using the decomposition-based hierarchical identification principle. The simulation results confirm that the proposed two algorithms can give satisfactory identification accuracies and the least-squares-based iterative algorithm has faster convergence rates than the gradient-based iterative algorithm.
- Subjects
HAMMERSTEIN equations; ITERATIVE methods (Mathematics); STOCHASTIC convergence; MATHEMATICAL decomposition; PARAMETER estimation
- Publication
IET Control Theory & Applications (Wiley-Blackwell), 2013, Vol 7, Issue 2, p176
- ISSN
1751-8644
- Publication type
Article
- DOI
10.1049/iet-cta.2012.0313